It’s 2 a.m. I’m three Red Bulls deep, debugging a layout issue that appeared out of nowhere.

The CSS looks fine. The markup looks fine.

***My soul? Not so much.***

In desperation, I install *one* NPM package. Hit save. Boom. Fixed.

**And that’s when it hit me:** I don’t write JavaScript. I compose symphonies of dependencies.

> **My job? 10% writing code, 90% knowing what package to install.**

Here are the top 10 NPM packages that keep me (relatively) sane.

**Some are old friends. Some are new obsessions. All are absolutely essential.**

> [You can read the full story for free by clicking here](https://medium.com/@fireprogrammer/top-10-npm-packages-i-cant-live-without-e77d3e79e658?sk=43048f7374cc6a85c51a4bd32e0d44a5)

![](https://cdn-images-1.medium.com/max/1600/1*gBQh_aomj2IpCkNYy9R_fQ.png)

### 1. Prettier

> Because code formatting arguments are a waste of life.

Look, I’m not here to debate tabs vs spaces. Prettier doesn’t care, and neither should you.

It formats your code *one way* — the right way. Every time I save, my mess turns into beauty. It’s like auto-tune for code.

```
npm install --save-dev prettier
```

> Use it. Love it. Never look back.

### 2. ESLint

> Because you’re not as perfect as you think you are.

I used to believe I was a clean coder.

**ESLint showed me the truth:** I was writing spaghetti with extra cheese.

From catching unused variables to enforcing best practices, ESLint is like that brutally honest friend who tells you when your code stinks.

Bonus points for pairing it with Prettier.

```
npm install eslint --save-dev
```

### 3. dotenv

> Stop hardcoding secrets, you maniac.

If you’ve ever pushed an API key to GitHub, we need to talk.

`dotenv` lets you store environment variables in a `.env` file like a civilized developer.

```
npm install dotenv
```

Then just:

```
require('dotenv').config();console.log(process.env.MY_SECRET);
```

> Your future self will thank you.

### 4. axios

> Because `fetch` is fine, but axios is divine.

Yeah, yeah, `fetch` is built-in. But have you ever chained error handling with it?

**Axios just *works* better. Cleaner syntax.**

Built-in JSON handling. Interceptors. It’s like fetch, but with manners.

```
npm install axios
```

### 5. nodemon

> Because restarting your server manually is medieval.

Every time I used to `Ctrl + C` and restart the server, a piece of me died.

`nodemon` watches for changes and restarts your app for you. It’s the lazy dev’s best friend.

```
npm install --save-dev nodemon
```

Add it to your scripts and *stop suffering*.

### 6. chalk

> Because your terminal deserves a little flair.

Who said logs have to be boring? `chalk` lets you color your console output, and suddenly [`console.log`](https://console.log) feels like performance art.

Debugging becomes less dreadful when it looks like a rainbow.

```
npm install chalkconsole.log(chalk.green('Success!'));
```

### 7. lodash

> Because JavaScript has weird gaps.

Sure, JS has improved. But `lodash` still fills in the gaps with grace.

**Deep clones? Debounce? Throttle?** Yup.

It’s like carrying a Swiss army knife in your code.

```
npm install lodash
```

Also, `_.get()` alone is worth the price of admission.

### 8. date-fns

> Because [moment.js](https://moment.js) is a heavy dinosaur.

Need to format, parse, or manipulate dates without shipping a time machine worth of bytes?

`date-fns` is modern, modular, and elegant.

```
npm install date-fnsimport { format } from 'date-fns';console.log(format(new Date(), 'yyyy-MM-dd'));
```

### 9. jsonwebtoken

> Because auth is hard, but this helps.

User authentication isn’t optional.

`jsonwebtoken` makes signing and verifying JWTs *almost* painless. Almost.

```
npm install jsonwebtoken
```

> Remember: with great tokens comes great responsibility.

### 10. uuid

> Because IDs should be unique. Duh.

If you’re generating IDs manually, stop. `uuid` is fast, standards-compliant, and idiot-proof.

```
npm install uuidimport { v4 as uuidv4 } from 'uuid';console.log(uuidv4());
```

It’s like giving every object a digital passport.

### Honorable Mentions

* `cors`: **Because you love testing locally and hate errors.**
* `express`: B**ecause Fastify fans will still argue, but Express works just fine.**
* `react-icons`: **Because nobody wants to download SVGs manually anymore.**

### Finally, Use Tools, Not Crutches

> **Let’s be clear. These packages don’t write your code.**

> **They just make the job less of a grind.**

But be warned: NPM addiction is real. Don’t install packages just because you *can*.

Use the ones that make you faster, smarter, and slightly less likely to rage-quit.

> Agree? Disagree? Got a holy-grail package I missed?

> Smash that clap button, drop a comment, or roast me in the replies.

> I’m all ears (and caffeine).

Happy coding!

It’s 2 a.m. I’m three Red Bulls deep, debugging a layout issue that appeared out of nowhere.
The CSS looks fine. The markup looks fine.
My soul? Not so much.
In desperation, I install one NPM package. Hit save. Boom. Fixed.
And that’s when it hit me: I don’t write JavaScript. I compose symphonies of dependencies.
<blockquote>
My job? 10% writing code, 90% knowing what package to install.
</blockquote>
Here are the top 10 NPM packages that keep me (relatively) sane.
Some are old friends. Some are new obsessions. All are absolutely essential.
<blockquote>
<a href="https://medium.com/@fireprogrammer/top-10-npm-packages-i-cant-live-without-e77d3e79e658?sk=43048f7374cc6a85c51a4bd32e0d44a5">You can read the full story for free by clicking here</a>
</blockquote>
<img src="https://cdn-images-1.medium.com/max/1600/1*gBQh_aomj2IpCkNYy9R_fQ.png" alt="">
<h3 id="1-prettier">1. Prettier</h3>
<blockquote>
Because code formatting arguments are a waste of life.
</blockquote>
Look, I’m not here to debate tabs vs spaces. Prettier doesn’t care, and neither should you.
It formats your code one way — the right way. Every time I save, my mess turns into beauty. It’s like auto-tune for code.
<pre><code class="code-highlight">npm install --save-dev prettier
</code></pre>
<blockquote>
Use it. Love it. Never look back.
</blockquote>
<h3 id="2-eslint">2. ESLint</h3>
<blockquote>
Because you’re not as perfect as you think you are.
</blockquote>
I used to believe I was a clean coder.
ESLint showed me the truth: I was writing spaghetti with extra cheese.
From catching unused variables to enforcing best practices, ESLint is like that brutally honest friend who tells you when your code stinks.
Bonus points for pairing it with Prettier.
<pre><code class="code-highlight">npm install eslint --save-dev
</code></pre>
<h3 id="3-dotenv">3. dotenv</h3>
<blockquote>
Stop hardcoding secrets, you maniac.
</blockquote>
If you’ve ever pushed an API key to GitHub, we need to talk.
<code>dotenv</code> lets you store environment variables in a <code>.env</code> file like a civilized developer.
<pre><code class="code-highlight">npm install dotenv
</code></pre>
Then just:
<pre><code class="code-highlight">require('dotenv').config();console.log(process.env.MY_SECRET);
</code></pre>
<blockquote>
Your future self will thank you.
</blockquote>
<h3 id="4-axios">4. axios</h3>
<blockquote>
Because <code>fetch</code> is fine, but axios is divine.
</blockquote>
Yeah, yeah, <code>fetch</code> is built-in. But have you ever chained error handling with it?
Axios just works better. Cleaner syntax.
Built-in JSON handling. Interceptors. It’s like fetch, but with manners.
<pre><code class="code-highlight">npm install axios
</code></pre>
<h3 id="5-nodemon">5. nodemon</h3>
<blockquote>
Because restarting your server manually is medieval.
</blockquote>
Every time I used to <code>Ctrl + C</code> and restart the server, a piece of me died.
<code>nodemon</code> watches for changes and restarts your app for you. It’s the lazy dev’s best friend.
<pre><code class="code-highlight">npm install --save-dev nodemon
</code></pre>
Add it to your scripts and stop suffering.
<h3 id="6-chalk">6. chalk</h3>
<blockquote>
Because your terminal deserves a little flair.
</blockquote>
Who said logs have to be boring? <code>chalk</code> lets you color your console output, and suddenly <a href="https://console.log"><code>console.log</code></a> feels like performance art.
Debugging becomes less dreadful when it looks like a rainbow.
<pre><code class="code-highlight">npm install chalkconsole.log(chalk.green('Success!'));
</code></pre>
<h3 id="7-lodash">7. lodash</h3>
<blockquote>
Because JavaScript has weird gaps.
</blockquote>
Sure, JS has improved. But <code>lodash</code> still fills in the gaps with grace.
Deep clones? Debounce? Throttle? Yup.
It’s like carrying a Swiss army knife in your code.
<pre><code class="code-highlight">npm install lodash
</code></pre>
Also, <code>_.get()</code> alone is worth the price of admission.
<h3 id="8-date-fns">8. date-fns</h3>
<blockquote>
Because <a href="https://moment.js">moment.js</a> is a heavy dinosaur.
</blockquote>
Need to format, parse, or manipulate dates without shipping a time machine worth of bytes?
<code>date-fns</code> is modern, modular, and elegant.
<pre><code class="code-highlight">npm install date-fnsimport { format } from 'date-fns';console.log(format(new Date(), 'yyyy-MM-dd'));
</code></pre>
<h3 id="9-jsonwebtoken">9. jsonwebtoken</h3>
<blockquote>
Because auth is hard, but this helps.
</blockquote>
User authentication isn’t optional.
<code>jsonwebtoken</code> makes signing and verifying JWTs almost painless. Almost.
<pre><code class="code-highlight">npm install jsonwebtoken
</code></pre>
<blockquote>
Remember: with great tokens comes great responsibility.
</blockquote>
<h3 id="10-uuid">10. uuid</h3>
<blockquote>
Because IDs should be unique. Duh.
</blockquote>
If you’re generating IDs manually, stop. <code>uuid</code> is fast, standards-compliant, and idiot-proof.
<pre><code class="code-highlight">npm install uuidimport { v4 as uuidv4 } from 'uuid';console.log(uuidv4());
</code></pre>
It’s like giving every object a digital passport.
<h3 id="honorable-mentions">Honorable Mentions</h3>
<ul>
<li><code>cors</code>: Because you love testing locally and hate errors.</li>
<li><code>express</code>: Because Fastify fans will still argue, but Express works just fine.</li>
<li><code>react-icons</code>: Because nobody wants to download SVGs manually anymore.</li>
</ul>
<h3 id="finally-use-tools-notcrutches">Finally, Use Tools, Not Crutches</h3>
<blockquote>
Let’s be clear. These packages don’t write your code.
</blockquote>
<blockquote>
They just make the job less of a grind.
</blockquote>
But be warned: NPM addiction is real. Don’t install packages just because you can.
Use the ones that make you faster, smarter, and slightly less likely to rage-quit.
<blockquote>
Agree? Disagree? Got a holy-grail package I missed?
</blockquote>
<blockquote>
Smash that clap button, drop a comment, or roast me in the replies.
</blockquote>
<blockquote>
I’m all ears (and caffeine).
</blockquote>
Happy coding!

(And You Probably Shouldn’t Either If You Like Your Sanity)

Top 10 NPM Packages I Can’t Live Without

Preparing for a JavaScript interview can be intimidating, but mastering common coding challenges can boost your confidence and help you stand out. This article dives into **11 essential JavaScript problems**, offering solutions and explanations to sharpen your problem-solving skills. These challenges test concepts like strings, arrays, loops, and logic — all crucial topics for technical interviews.

![](https://cdn-images-1.medium.com/max/1600/1*we7fVDneFjHIDU1kL_YNlA.jpeg)

### 1. Reverse a String

Reversing a string is a common challenge that demonstrates your understanding of strings and JavaScript’s built-in methods.

```
function reverse(str) { return str.split('').reverse().join('');}let input = "demha";let output = reverse(input);console.log(`The Reverse of ${input} is ${output}`); // Output: "ahmed"
```

**Explanation:**

* `split('')` converts the string into an array of characters.
* `reverse()` reverses the array.
* `join('')` converts the array back into a string.

### 2. Palindrome Test

A palindrome is a word that reads the same forwards and backwards.

```
function palindrome(str1, str2) { let reversed = str1.split('').reverse().join(''); return reversed.toLowerCase() === str2.toLowerCase();}const str1 = "Ahmed";const str2 = "demha";console.log(palindrome(str1, str2)); // Output: true
```

**Explanation:**

* Reverse the first string.
* Compare it (case-insensitive) to the second string.

### 3. Most Frequent Character

Identify the character that appears most frequently in a string.

```
function mostFrequentChar(str) { const charCount = {}; let maxChar = '', maxCount = 0; for (let char of str) { charCount[char] = (charCount[char] || 0) + 1; if (charCount[char] > maxCount) { maxChar = char; maxCount = charCount[char]; } } return maxChar;}const input = "ABBAAdBd5BBB";console.log(mostFrequentChar(input)); // Output: 'B'
```

**Explanation:**

* Use an object to count character occurrences.
* Track the character with the maximum frequency.

### 4. Chunk an Array

Divide an array into smaller chunks of a specified size.

```
function chunk(array, size) { const output = []; for (let i = 0; i < array.length; i += size) { output.push(array.slice(i, i + size)); } return output;}let array = [1, 2, 3, 4, 5, 6, 7];console.log(chunk(array, 3));/* Output:[[1, 2, 3], [4, 5, 6], [7]] */
```

**Explanation:**

* Use a `for` loop to slice the array into smaller parts of `size`.

### 5. Capitalize the First Character of Each Word

This problem tests string manipulation and array methods.

```
function capitalize(sentence) { return sentence.split(' ').map(word => word[0].toUpperCase() + word.slice(1)).join(' ');}let input = "the moon is so beautiful";console.log(capitalize(input)); // Output: "The Moon Is So Beautiful"
```

**Explanation:**

* Split the sentence into words.
* Capitalize the first letter and concatenate the rest.
* Join the words back into a string.

### 6. Anagram Test

Check if two words are anagrams of each other.

```
function cleanText(str) { return str.toLowerCase().replace(/\W/g, '').split('').sort().join('');}function anagrams(str1, str2) { return cleanText(str1) === cleanText(str2);}console.log(anagrams("RAIL! SAFETY!", "fairy tales")); // Output: true
```

**Explanation:**

* Remove non-alphabet characters.
* Sort and compare both strings.

### 7. Count Vowels

Count the number of vowels in a string.

```
function vowelCheck(str) { const vowels = ['a', 'e', 'i', 'o', 'u']; return str.split('').filter(char => vowels.includes(char.toLowerCase())).length;}console.log(vowelCheck("Apple")); // Output: 2
```

**Explanation:**

* Use a filter to identify vowels and count them.

### 8. FizzBuzz

Classic challenge to print numbers and specific words based on divisibility.

```
function fizzBuzz(n) { for (let i = 1; i <= n; i++) { if (i % 3 === 0 && i % 5 === 0) console.log("FizzBuzz"); else if (i % 3 === 0) console.log("Fizz"); else if (i % 5 === 0) console.log("Buzz"); else console.log(i); }}fizzBuzz(15);
```

### 9. Print Steps of (#)

Print steps of increasing `#` for a given size.

```
function steps(n) { for (let i = 1; i <= n; i++) { console.log('#'.repeat(i)); }}steps(3);/* Output:###### */
```

### 10. Print a Pyramid of (#)

Create a pyramid pattern using `#`.

```
function printPyramid(height) { for (let row = 1; row <= height; row++) { let spaces = ' '.repeat(height - row); let hashes = '#'.repeat(2 * row - 1); console.log(spaces + hashes + spaces); }}printPyramid(3);
```

### 11. Spiral Matrix

Generate a square matrix in a spiral order.

```
function spiralMatrix(n) { let matrix = Array.from({ length: n }, () => Array(n).fill(0)); let num = 1, rowStart = 0, rowEnd = n - 1, colStart = 0, colEnd = n - 1; while (rowStart <= rowEnd && colStart <= colEnd) { for (let i = colStart; i <= colEnd; i++) matrix[rowStart][i] = num++; rowStart++; for (let i = rowStart; i <= rowEnd; i++) matrix[i][colEnd] = num++; colEnd--; for (let i = colEnd; i >= colStart; i--) matrix[rowEnd][i] = num++; rowEnd--; for (let i = rowEnd; i >= rowStart; i--) matrix[i][colStart] = num++; colStart++; } return matrix;}console.log(spiralMatrix(3));
```

### Final Thoughts

By solving these 11 JavaScript challenges, you’ll strengthen your understanding of key concepts and build confidence for your next interview. Focus on writing clean, efficient code and practice explaining your solutions out loud. Good luck!

### [Buy me a Coffee](https://ko-fi.com/mohamedsaidibrahim)☕

If you enjoy this content and want to support me, feel free to [\[buy me a coffee\].](https://ko-fi.com/mohamedsaidibrahim)

![](https://cdn-images-1.medium.com/max/1600/1*du64i1tQdgIIGv4PCKpvDA.png)

[https://ko-fi.com/mohamedsaidibrahim](https://ko-fi.com/mohamedsaidibrahim)

### Thank you for being a part of the community

*Before you go:***️️**

* Follow us: [**X**](https://x.com/inPlainEngHQ) | [**LinkedIn**](https://www.linkedin.com/company/inplainenglish/) | [**YouTube**](https://www.youtube.com/@InPlainEnglish) | [**Newsletter**](https://newsletter.plainenglish.io/) | [**Podcast**](https://open.spotify.com/show/7qxylRWKhvZwMz2WuEoua0) | [**Twitch**](https://twitch.tv/inplainenglish)
* [**Start your own free AI-powered blog on Differ**](https://differ.blog/) 🚀
* [**Join our content creators community on Discord**](https://discord.gg/in-plain-english-709094664682340443) 🧑🏻‍💻
* For more content, visit [**plainenglish.io**](https://plainenglish.io/) + [**stackademic.com**](https://stackademic.com/)

Preparing for a JavaScript interview can be intimidating, but mastering common coding challenges can boost your confidence and help you stand out. This article dives into 11 essential JavaScript problems, offering solutions and explanations to sharpen your problem-solving skills. These challenges test concepts like strings, arrays, loops, and logic — all crucial topics for technical interviews.
<img src="https://cdn-images-1.medium.com/max/1600/1*we7fVDneFjHIDU1kL_YNlA.jpeg" alt="">
<h3 id="1-reverse-astring">1. Reverse a String</h3>
Reversing a string is a common challenge that demonstrates your understanding of strings and JavaScript’s built-in methods.
<pre><code class="code-highlight">function reverse(str) { return str.split('').reverse().join('');}let input = "demha";let output = reverse(input);console.log(`The Reverse of ${input} is ${output}`); // Output: "ahmed"
</code></pre>
Explanation:
<ul>
<li><code>split('')</code> converts the string into an array of characters.</li>
<li><code>reverse()</code> reverses the array.</li>
<li><code>join('')</code> converts the array back into a string.</li>
</ul>
<h3 id="2-palindrome-test">2. Palindrome Test</h3>
A palindrome is a word that reads the same forwards and backwards.
<pre><code class="code-highlight">function palindrome(str1, str2) { let reversed = str1.split('').reverse().join(''); return reversed.toLowerCase() === str2.toLowerCase();}const str1 = "Ahmed";const str2 = "demha";console.log(palindrome(str1, str2)); // Output: true
</code></pre>
Explanation:
<ul>
<li>Reverse the first string.</li>
<li>Compare it (case-insensitive) to the second string.</li>
</ul>
<h3 id="3-most-frequent-character">3. Most Frequent Character</h3>
Identify the character that appears most frequently in a string.
<pre><code class="code-highlight">function mostFrequentChar(str) { const charCount = {}; let maxChar = '', maxCount = 0; for (let char of str) { charCount[char] = (charCount[char] || 0) + 1; if (charCount[char] > maxCount) { maxChar = char; maxCount = charCount[char]; } } return maxChar;}const input = "ABBAAdBd5BBB";console.log(mostFrequentChar(input)); // Output: 'B'
</code></pre>
Explanation:
<ul>
<li>Use an object to count character occurrences.</li>
<li>Track the character with the maximum frequency.</li>
</ul>
<h3 id="4-chunk-anarray">4. Chunk an Array</h3>
Divide an array into smaller chunks of a specified size.
<pre><code class="code-highlight">function chunk(array, size) { const output = []; for (let i = 0; i &#x3C; array.length; i += size) { output.push(array.slice(i, i + size)); } return output;}let array = [1, 2, 3, 4, 5, 6, 7];console.log(chunk(array, 3));/* Output:[[1, 2, 3], [4, 5, 6], [7]] */
</code></pre>
Explanation:
<ul>
<li>Use a <code>for</code> loop to slice the array into smaller parts of <code>size</code>.</li>
</ul>
<h3 id="5-capitalize-the-first-character-of-eachword">5. Capitalize the First Character of Each Word</h3>
This problem tests string manipulation and array methods.
<pre><code class="code-highlight">function capitalize(sentence) { return sentence.split(' ').map(word => word[0].toUpperCase() + word.slice(1)).join(' ');}let input = "the moon is so beautiful";console.log(capitalize(input)); // Output: "The Moon Is So Beautiful"
</code></pre>
Explanation:
<ul>
<li>Split the sentence into words.</li>
<li>Capitalize the first letter and concatenate the rest.</li>
<li>Join the words back into a string.</li>
</ul>
<h3 id="6-anagramtest">6. Anagram Test</h3>
Check if two words are anagrams of each other.
<pre><code class="code-highlight">function cleanText(str) { return str.toLowerCase().replace(/\W/g, '').split('').sort().join('');}function anagrams(str1, str2) { return cleanText(str1) === cleanText(str2);}console.log(anagrams("RAIL! SAFETY!", "fairy tales")); // Output: true
</code></pre>
Explanation:
<ul>
<li>Remove non-alphabet characters.</li>
<li>Sort and compare both strings.</li>
</ul>
<h3 id="7-countvowels">7. Count Vowels</h3>
Count the number of vowels in a string.
<pre><code class="code-highlight">function vowelCheck(str) { const vowels = ['a', 'e', 'i', 'o', 'u']; return str.split('').filter(char => vowels.includes(char.toLowerCase())).length;}console.log(vowelCheck("Apple")); // Output: 2
</code></pre>
Explanation:
<ul>
<li>Use a filter to identify vowels and count them.</li>
</ul>
<h3 id="8-fizzbuzz">8. FizzBuzz</h3>
Classic challenge to print numbers and specific words based on divisibility.
<pre><code class="code-highlight">function fizzBuzz(n) { for (let i = 1; i &#x3C;= n; i++) { if (i % 3 === 0 &#x26;&#x26; i % 5 === 0) console.log("FizzBuzz"); else if (i % 3 === 0) console.log("Fizz"); else if (i % 5 === 0) console.log("Buzz"); else console.log(i); }}fizzBuzz(15);
</code></pre>
<h3 id="9-print-steps-of">9. Print Steps of (#)</h3>
Print steps of increasing <code>#</code> for a given size.
<pre><code class="code-highlight">function steps(n) { for (let i = 1; i &#x3C;= n; i++) { console.log('#'.repeat(i)); }}steps(3);/* Output:###### */
</code></pre>
<h3 id="10-print-a-pyramid-of">10. Print a Pyramid of (#)</h3>
Create a pyramid pattern using <code>#</code>.
<pre><code class="code-highlight">function printPyramid(height) { for (let row = 1; row &#x3C;= height; row++) { let spaces = ' '.repeat(height - row); let hashes = '#'.repeat(2 * row - 1); console.log(spaces + hashes + spaces); }}printPyramid(3);
</code></pre>
<h3 id="11-spiralmatrix">11. Spiral Matrix</h3>
Generate a square matrix in a spiral order.
<pre><code class="code-highlight">function spiralMatrix(n) { let matrix = Array.from({ length: n }, () => Array(n).fill(0)); let num = 1, rowStart = 0, rowEnd = n - 1, colStart = 0, colEnd = n - 1; while (rowStart &#x3C;= rowEnd &#x26;&#x26; colStart &#x3C;= colEnd) { for (let i = colStart; i &#x3C;= colEnd; i++) matrix[rowStart][i] = num++; rowStart++; for (let i = rowStart; i &#x3C;= rowEnd; i++) matrix[i][colEnd] = num++; colEnd--; for (let i = colEnd; i >= colStart; i--) matrix[rowEnd][i] = num++; rowEnd--; for (let i = rowEnd; i >= rowStart; i--) matrix[i][colStart] = num++; colStart++; } return matrix;}console.log(spiralMatrix(3));
</code></pre>
<h3 id="final-thoughts">Final Thoughts</h3>
By solving these 11 JavaScript challenges, you’ll strengthen your understanding of key concepts and build confidence for your next interview. Focus on writing clean, efficient code and practice explaining your solutions out loud. Good luck!
<h3 id="buy-me-acoffee"><a href="https://ko-fi.com/mohamedsaidibrahim">Buy me a Coffee</a>☕</h3>
If you enjoy this content and want to support me, feel free to <a href="https://ko-fi.com/mohamedsaidibrahim">[buy me a coffee].</a>
<img src="https://cdn-images-1.medium.com/max/1600/1*du64i1tQdgIIGv4PCKpvDA.png" alt="">
<a href="https://ko-fi.com/mohamedsaidibrahim">https://ko-fi.com/mohamedsaidibrahim</a>
<h3 id="thank-you-for-being-a-part-of-the-community">Thank you for being a part of the community</h3>
*Before you go:*️️
<ul>
<li>Follow us: <a href="https://x.com/inPlainEngHQ">X</a> | <a href="https://www.linkedin.com/company/inplainenglish/">LinkedIn</a> | <a href="https://www.youtube.com/@InPlainEnglish">YouTube</a> | <a href="https://newsletter.plainenglish.io/">Newsletter</a> | <a href="https://open.spotify.com/show/7qxylRWKhvZwMz2WuEoua0">Podcast</a> | <a href="https://twitch.tv/inplainenglish">Twitch</a></li>
<li><a href="https://differ.blog/">Start your own free AI-powered blog on Differ</a> 🚀</li>
<li><a href="https://discord.gg/in-plain-english-709094664682340443">Join our content creators community on Discord</a> 🧑🏻‍💻</li>
<li>For more content, visit <a href="https://plainenglish.io/">plainenglish.io</a> + <a href="https://stackademic.com/">stackademic.com</a></li>
</ul>

Top 11 JavaScript Coding Challenges to Ace Your Next Interview

![](https://cdn-images-1.medium.com/max/1600/0*8YAmy3EMd9hR3xXq)

Photo by [Artturi Jalli](https://unsplash.com/@artturijalli?utm_source=medium\&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium\&utm_medium=referral)

It started the night I had three scripts running side-by-side, each trying to solve a problem I didn’t want to touch manually. One script scraped a client’s inventory, another cleaned the data, and the last one generated a PDF report while I made coffee. I realized then, coding like the top 1% isn’t about knowing “more” Python. It’s about knowing the right tools that turn hours of work into seconds of automation.

And here’s the truth: most Python developers never touch these libraries, which is why they stay in the 99%. You’re about to change that.

### 1. Pendulum-lite Alternative

Arrow is the fast, intuitive datetime library you didn’t know you needed. It removes the boilerplate that comes with Python’s `datetime`.

```
import arrowprint(arrow.now().shift(days=+3).format('YYYY-MM-DD'))
```

Perfect for automation scripts that schedule tasks, generate logs, or handle timezone conversions.

### 2. Faker

Why waste time typing fake names and emails? Faker generates them in milliseconds.

```
from faker import Fakerfake = Faker()print(fake.name(), fake.email())
```

It’s a lifesaver when automating tests or mocking datasets.

### 3. TQDM

Automations often run in the background, but sometimes you need visibility. TQDM wraps any iterable with a progress bar.

```
from tqdm import tqdmimport timefor _ in tqdm(range(100)):    time.sleep(0.01)
```

When running big automation jobs, this keeps you from wondering, “Is this still running?”

### 4. YAML

YAML lets you store automation settings in a cleaner, human-readable way.

```
import yamlconfig = yaml.safe_load(open('config.yml'))print(config['api_key'])
```

Instead of hardcoding credentials, you keep them in a `.yml` file and load them dynamically.

### 5. Boto3

From uploading files to S3 to spinning up EC2 instances, Boto3 makes AWS scripting painless.

```
import boto3s3 = boto3.client('s3')s3.upload_file('report.pdf', 'my-bucket', 'report.pdf')
```

You can build full cloud automation workflows without touching the AWS console.

### 6. Airflow

Airflow isn’t just for big companies. It schedules and manages complex automation pipelines.

```
pip install apache-airflow
```

Imagine chaining scripts so they run in perfect order. Airflow does exactly that.

### 7. PyPDF2

Whether it’s merging multiple PDFs or extracting text, PyPDF2 lets you automate the process in seconds.

```
from PyPDF2 import PdfMergermerger = PdfMerger()merger.append('file1.pdf')merger.append('file2.pdf')merger.write('combined.pdf')merger.close()
```

No more dragging files into random online PDF tools.

### 8. FastF1

For automation in niche fields, FastF1 is a Formula 1 data API wrapper. It’s perfect for sports dashboards and analytics.

```
import fastf1fastf1.Cache.enable_cache('cache')session = fastf1.get_session(2023, 'Monaco', 'Q')session.load()print(session.results)
```

Shows how automation isn’t limited to “business” work, it can be for fun too.

### 9. Watchfiles

Think `watchdog`, but faster. Watchfiles runs functions automatically when files change.

```
from watchfiles import watchfor changes in watch('./data'):    print(changes)
```

Great for instant triggers when a file is updated, downloaded, or replaced.

### Closing Words:

Don’t just “collect” libraries, master them. The difference between a good Python developer and a top 1% developer is not knowing what exists, but knowing exactly when to use it.

> **A beginner-friendly Python guide made for non-programmers.** [**Start learning**](https://abdulahad28.gumroad.com/l/irehc) **Python the easy way!**

***Want a pack of prompts that work for you and save hours?*** [***click here***](https://abdulahad28.gumroad.com/l/rwnlrm)

> **Ready to go from Java beginner to confident developer?** [**Start here**](https://gumroad.com/a/1035515539/QqjGH)**.**

*Want more posts like this? Drop a “YES” in the comment, and I’ll share more coding tricks like this one.*

*Want to support me? Give 50 claps on this post and follow me.*

*Thanks for reading!*

### A message from our Founder

**Hey,** [**Sunil**](https://linkedin.com/in/sunilsandhu) **here.** I wanted to take a moment to thank you for reading until the end and for being a part of this community.

Did you know that our team run these publications as a volunteer effort to over 200k supporters? **We do not get paid by Medium**!

If you want to show some love, please take a moment to **follow me on** [**LinkedIn**](https://linkedin.com/in/sunilsandhu)**,** [**TikTok**](https://tiktok.com/@messyfounder) **and** [**Instagram**](https://instagram.com/sunilsandhu).

<img src="https://cdn-images-1.medium.com/max/1600/0*8YAmy3EMd9hR3xXq" alt="">
Photo by <a href="https://unsplash.com/@artturijalli?utm_source=medium&#x26;utm_medium=referral">Artturi Jalli</a> on <a href="https://unsplash.com?utm_source=medium&#x26;utm_medium=referral">Unsplash</a>
It started the night I had three scripts running side-by-side, each trying to solve a problem I didn’t want to touch manually. One script scraped a client’s inventory, another cleaned the data, and the last one generated a PDF report while I made coffee. I realized then, coding like the top 1% isn’t about knowing “more” Python. It’s about knowing the right tools that turn hours of work into seconds of automation.
And here’s the truth: most Python developers never touch these libraries, which is why they stay in the 99%. You’re about to change that.
<h3 id="1-pendulum-lite-alternative">1. Pendulum-lite Alternative</h3>
Arrow is the fast, intuitive datetime library you didn’t know you needed. It removes the boilerplate that comes with Python’s <code>datetime</code>.
<pre><code class="code-highlight">import arrowprint(arrow.now().shift(days=+3).format('YYYY-MM-DD'))
</code></pre>
Perfect for automation scripts that schedule tasks, generate logs, or handle timezone conversions.
<h3 id="2-faker">2. Faker</h3>
Why waste time typing fake names and emails? Faker generates them in milliseconds.
<pre><code class="code-highlight">from faker import Fakerfake = Faker()print(fake.name(), fake.email())
</code></pre>
It’s a lifesaver when automating tests or mocking datasets.
<h3 id="3-tqdm">3. TQDM</h3>
Automations often run in the background, but sometimes you need visibility. TQDM wraps any iterable with a progress bar.
<pre><code class="code-highlight">from tqdm import tqdmimport timefor _ in tqdm(range(100)): time.sleep(0.01)
</code></pre>
When running big automation jobs, this keeps you from wondering, “Is this still running?”
<h3 id="4-yaml">4. YAML</h3>
YAML lets you store automation settings in a cleaner, human-readable way.
<pre><code class="code-highlight">import yamlconfig = yaml.safe_load(open('config.yml'))print(config['api_key'])
</code></pre>
Instead of hardcoding credentials, you keep them in a <code>.yml</code> file and load them dynamically.
<h3 id="5-boto3">5. Boto3</h3>
From uploading files to S3 to spinning up EC2 instances, Boto3 makes AWS scripting painless.
<pre><code class="code-highlight">import boto3s3 = boto3.client('s3')s3.upload_file('report.pdf', 'my-bucket', 'report.pdf')
</code></pre>
You can build full cloud automation workflows without touching the AWS console.
<h3 id="6-airflow">6. Airflow</h3>
Airflow isn’t just for big companies. It schedules and manages complex automation pipelines.
<pre><code class="code-highlight">pip install apache-airflow
</code></pre>
Imagine chaining scripts so they run in perfect order. Airflow does exactly that.
<h3 id="7-pypdf2">7. PyPDF2</h3>
Whether it’s merging multiple PDFs or extracting text, PyPDF2 lets you automate the process in seconds.
<pre><code class="code-highlight">from PyPDF2 import PdfMergermerger = PdfMerger()merger.append('file1.pdf')merger.append('file2.pdf')merger.write('combined.pdf')merger.close()
</code></pre>
No more dragging files into random online PDF tools.
<h3 id="8-fastf1">8. FastF1</h3>
For automation in niche fields, FastF1 is a Formula 1 data API wrapper. It’s perfect for sports dashboards and analytics.
<pre><code class="code-highlight">import fastf1fastf1.Cache.enable_cache('cache')session = fastf1.get_session(2023, 'Monaco', 'Q')session.load()print(session.results)
</code></pre>
Shows how automation isn’t limited to “business” work, it can be for fun too.
<h3 id="9-watchfiles">9. Watchfiles</h3>
Think <code>watchdog</code>, but faster. Watchfiles runs functions automatically when files change.
<pre><code class="code-highlight">from watchfiles import watchfor changes in watch('./data'): print(changes)
</code></pre>
Great for instant triggers when a file is updated, downloaded, or replaced.
<h3 id="closing-words">Closing Words:</h3>
Don’t just “collect” libraries, master them. The difference between a good Python developer and a top 1% developer is not knowing what exists, but knowing exactly when to use it.
<blockquote>
A beginner-friendly Python guide made for non-programmers. <a href="https://abdulahad28.gumroad.com/l/irehc">Start learning</a> Python the easy way!
</blockquote>
Want a pack of prompts that work for you and save hours? <a href="https://abdulahad28.gumroad.com/l/rwnlrm">click here</a>
<blockquote>
Ready to go from Java beginner to confident developer? <a href="https://gumroad.com/a/1035515539/QqjGH">Start here</a>.
</blockquote>
Want more posts like this? Drop a “YES” in the comment, and I’ll share more coding tricks like this one.
Want to support me? Give 50 claps on this post and follow me.
Thanks for reading!
<h3 id="a-message-from-ourfounder">A message from our Founder</h3>
Hey, <a href="https://linkedin.com/in/sunilsandhu">Sunil</a> here. I wanted to take a moment to thank you for reading until the end and for being a part of this community.
Did you know that our team run these publications as a volunteer effort to over 200k supporters? We do not get paid by Medium!
If you want to show some love, please take a moment to follow me on <a href="https://linkedin.com/in/sunilsandhu">LinkedIn</a>, <a href="https://tiktok.com/@messyfounder">TikTok</a> and <a href="https://instagram.com/sunilsandhu">Instagram</a>.

Automation tools so sharp, your scripts will feel like they write themselves

9 Python Libraries That Will Make You Code Like the Top 1%

![](https://cdn-images-1.medium.com/max/1600/1*6mq6FiDfXgNEh8eKD9e1hA.png)

Today’s most popular UI libraries aren’t just collections of pre-styled components — they’re sophisticated toolkits that provide the building blocks for creating unique, accessible, and maintainable design systems. Whether you’re building a startup’s MVP, a complex enterprise application, or anything in between, choosing the right UI library can significantly impact your development velocity and product quality.

In this guide, we’ll explore 10(+ bonus) outstanding UI libraries that have emerged as leaders in this new paradigm. We’ll look beyond just star counts and download numbers to examine what makes each library unique, their architectural approaches, and most importantly, what kind of projects they’re best suited for.

### 1. shadcn/ui

![](https://cdn-images-1.medium.com/max/1600/1*80rW2NRXjacg5h-KKzXSRA.png)

**Key Features:**

* Not a traditional component library but a CLI that adds components to your project
* Built on Radix UI primitives
* Highly customizable with Tailwind CSS
* Copy-paste ready components
* MIT License

[Website](https://ui.shadcn.com)

### 2. Radix UI

![](https://cdn-images-1.medium.com/max/1600/1*0lDDyv2tgAii2tIe66G8mw.png)

**Key Features:**

* Headless UI components
* Unstyled, accessible primitives
* Complete keyboard navigation
* Focus management
* MIT License

[Website](https://www.radix-ui.com)

### 3. Headless UI

![](https://cdn-images-1.medium.com/max/1600/1*2G11POd49pcNt8eJS-j60Q.png)

**Key Features:**

* Created by Tailwind CSS team
* Framework agnostic
* Fully accessible components
* Zero styling by default
* MIT License

[Website](https://headlessui.dev)

### 4. daisyUI

![](https://cdn-images-1.medium.com/max/1600/1*RsD8iz1EWA4QBCdsxHa9aA.png)

**Key Features:**

* Tailwind CSS component library
* 40+ prebuilt components
* Theme generator
* Lightweight
* MIT License

[Website](https://daisyui.com)

### 5. Ariakit

![](https://cdn-images-1.medium.com/max/1600/1*K_yud3pVoun5Hkmq81PPVg.jpeg)

**Key Features:**

* Advanced accessibility features
* Low-level building blocks
* Framework agnostic
* Extensive documentation
* MIT License

[Website](https://ariakit.org)

### 6. React Aria

![](https://cdn-images-1.medium.com/max/1600/1*40YsHCGAbmNcBIPkWzjtZg.png)

**Key Features:**

* Adobe’s collection of React Hooks
* Cross-browser consistency
* Mobile support
* International date/number formatting
* Apache License

[Website](https://react-spectrum.adobe.com/react-aria)

### 7. Mantine

![](https://cdn-images-1.medium.com/max/1600/1*L5q1mvs3baO0WOTMbfwZTw.png)

**Key Features:**

* 100+ customizable components
* Hooks library
* Dark theme support
* TypeScript based
* MIT License

[Website](https://mantine.dev)

### 8. Chakra UI

![](https://cdn-images-1.medium.com/max/1600/1*mdew2wLh3R0aAfcrNIuhNQ.jpeg)

**Key Features:**

* Modular and accessible components
* Style props
* Color mode support
* Theming system
* MIT License

[Website](https://chakra-ui.com)

### 9. HeroUI (previously NextUI)

![](https://cdn-images-1.medium.com/max/1600/1*vGR3vvbUGCkje8ZZMnmvYQ.png)

**Key Features:**

* Modern design
* Built on Tailwind CSS
* Dark mode
* Fully accessible
* MIT License

[Website](https://heroui.org/)

### 10. Tremor

![](https://cdn-images-1.medium.com/max/1600/1*CmDPxxAlhSQtcAjp_nB1qw.png)

**Key Features:**

* Dashboard-focused components
* Built-in charts and graphs
* Tailwind CSS integration
* Data visualization tools
* MIT License

[Website](https://www.tremor.so)

### **Bonus:**

### **11. Untitled UI React**

![](https://cdn-images-1.medium.com/max/1600/1*2c82fup1VkYRaihsF7Rvsw.jpeg)

The newest React library on this list, [Untitled UI React](https://www.untitledui.com/react) is the world’s largest collection of open-source React components built with Tailwind CSS v4.1, TypeScript, and React Aria.

It’s consistent, beautifully designed, and includes everything you need to design and develop modern, beautiful, responsive interfaces and websites in one neatly organized package. This library is ideal for teams already using Tailwind CSS who want production-ready, modern, accessible React components out of the box that don’t rely on external dependencies.

Key features:

* **Massive, production-ready library:** Hundreds of accessible, responsive components and page examples, professionally designed and built for modern performance.
* **Styled with Tailwind CSS:** Copy production-ready components built with the latest Tailwind CSS v4.1 utility classes and performance.
* **Accessibility at the core:** Built on React Aria with WAI-ARIA accessibility standards and best practices. React Aria is actively maintained by Adobe, so you won’t get left high and dry.
* **Custom CLI tool:** Add components or scaffold new projects effortlessly with a single command using our custom CLI tool.
* **Starter kits and integrations:** Launch faster with pre-configured starter kits for [Bolt.new](http://bolt.new/), [Next.js](https://Next.js), and more, designed for real-world apps, not demos.
* **Seamless dark mode support:** Components come with native dark mode support out-of-the-box, so there’s no need for separate styles.
* **No third-party maintainers:** You own the code, so you can build and extend without relying on third-party maintainers and packages.

Untitled UI React is based on [Untitled UI Figma](https://www.untitledui.com/figma), the world’s largest and most popular Figma UI kit, so the components look great and design and code stay in sync with lifetime updates. You can use my Affiliate Link to support me: [here](https://www.untitledui.com?aff=6Nz7pN)

### Usage and Popularity

While exact current usage statistics aren’t available, here are some indicators of popularity based on historical data:

* GitHub stars and npm downloads suggest shadcn/ui, Chakra UI, and Headless UI have been among the most widely adopted
* Corporate backing (like Adobe’s React Aria and Vercel’s adoption of shadcn/ui) has influenced adoption rates
* Community engagement metrics show strong developer interest in composable libraries that offer full control over styling

### Choosing the Right Library

Consider these factors when selecting a UI library:

1. **Bundle Size**: If you’re building a performance-critical application, consider libraries like Headless UI or Radix UI that let you import only what you need.
2. **Styling Approach**: Libraries like shadcn/ui and daisyUI are ideal if you’re already using Tailwind CSS, while Chakra UI and Mantine offer their own styling solutions.
3. **Use Case**: For dashboards, Tremor might be your best bet. For maximum accessibility, consider React Aria or Ariakit.
4. **Learning Curve**: Some libraries like shadcn/ui require more setup but offer more flexibility, while others like NextUI provide more out-of-the-box functionality.

### Conclusion

The trend toward composable, utility-first UI libraries continues to grow. While shadcn/ui has popularized the concept of copy-paste components, each library in this list offers unique advantages for different use cases. The best choice depends on your specific needs, team expertise, and project requirements.

### A message from our Founder

**Hey,** [**Sunil**](https://linkedin.com/in/sunilsandhu) **here.** I wanted to take a moment to thank you for reading until the end and for being a part of this community.

Did you know that our team run these publications as a volunteer effort to over 3.5m monthly readers? **We don’t receive any funding, we do this to support the community. ❤️**

If you want to show some love, please take a moment to **follow me on** [**LinkedIn**](https://linkedin.com/in/sunilsandhu)**,** [**TikTok**](https://tiktok.com/@messyfounder), [**Instagram**](https://instagram.com/sunilsandhu). You can also subscribe to our [**weekly newsletter**](https://newsletter.plainenglish.io/).

<img src="https://cdn-images-1.medium.com/max/1600/1*6mq6FiDfXgNEh8eKD9e1hA.png" alt="">
Today’s most popular UI libraries aren’t just collections of pre-styled components — they’re sophisticated toolkits that provide the building blocks for creating unique, accessible, and maintainable design systems. Whether you’re building a startup’s MVP, a complex enterprise application, or anything in between, choosing the right UI library can significantly impact your development velocity and product quality.
In this guide, we’ll explore 10(+ bonus) outstanding UI libraries that have emerged as leaders in this new paradigm. We’ll look beyond just star counts and download numbers to examine what makes each library unique, their architectural approaches, and most importantly, what kind of projects they’re best suited for.
<h3 id="1-shadcnui">1. shadcn/ui</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*80rW2NRXjacg5h-KKzXSRA.png" alt="">
Key Features:
<ul>
<li>Not a traditional component library but a CLI that adds components to your project</li>
<li>Built on Radix UI primitives</li>
<li>Highly customizable with Tailwind CSS</li>
<li>Copy-paste ready components</li>
<li>MIT License</li>
</ul>
<a href="https://ui.shadcn.com">Website</a>
<h3 id="2-radixui">2. Radix UI</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*0lDDyv2tgAii2tIe66G8mw.png" alt="">
Key Features:
<ul>
<li>Headless UI components</li>
<li>Unstyled, accessible primitives</li>
<li>Complete keyboard navigation</li>
<li>Focus management</li>
<li>MIT License</li>
</ul>
<a href="https://www.radix-ui.com">Website</a>
<h3 id="3-headlessui">3. Headless UI</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*2G11POd49pcNt8eJS-j60Q.png" alt="">
Key Features:
<ul>
<li>Created by Tailwind CSS team</li>
<li>Framework agnostic</li>
<li>Fully accessible components</li>
<li>Zero styling by default</li>
<li>MIT License</li>
</ul>
<a href="https://headlessui.dev">Website</a>
<h3 id="4-daisyui">4. daisyUI</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*RsD8iz1EWA4QBCdsxHa9aA.png" alt="">
Key Features:
<ul>
<li>Tailwind CSS component library</li>
<li>40+ prebuilt components</li>
<li>Theme generator</li>
<li>Lightweight</li>
<li>MIT License</li>
</ul>
<a href="https://daisyui.com">Website</a>
<h3 id="5-ariakit">5. Ariakit</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*K_yud3pVoun5Hkmq81PPVg.jpeg" alt="">
Key Features:
<ul>
<li>Advanced accessibility features</li>
<li>Low-level building blocks</li>
<li>Framework agnostic</li>
<li>Extensive documentation</li>
<li>MIT License</li>
</ul>
<a href="https://ariakit.org">Website</a>
<h3 id="6-reactaria">6. React Aria</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*40YsHCGAbmNcBIPkWzjtZg.png" alt="">
Key Features:
<ul>
<li>Adobe’s collection of React Hooks</li>
<li>Cross-browser consistency</li>
<li>Mobile support</li>
<li>International date/number formatting</li>
<li>Apache License</li>
</ul>
<a href="https://react-spectrum.adobe.com/react-aria">Website</a>
<h3 id="7-mantine">7. Mantine</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*L5q1mvs3baO0WOTMbfwZTw.png" alt="">
Key Features:
<ul>
<li>100+ customizable components</li>
<li>Hooks library</li>
<li>Dark theme support</li>
<li>TypeScript based</li>
<li>MIT License</li>
</ul>
<a href="https://mantine.dev">Website</a>
<h3 id="8-chakraui">8. Chakra UI</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*mdew2wLh3R0aAfcrNIuhNQ.jpeg" alt="">
Key Features:
<ul>
<li>Modular and accessible components</li>
<li>Style props</li>
<li>Color mode support</li>
<li>Theming system</li>
<li>MIT License</li>
</ul>
<a href="https://chakra-ui.com">Website</a>
<h3 id="9-heroui-previously-nextui">9. HeroUI (previously NextUI)</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*vGR3vvbUGCkje8ZZMnmvYQ.png" alt="">
Key Features:
<ul>
<li>Modern design</li>
<li>Built on Tailwind CSS</li>
<li>Dark mode</li>
<li>Fully accessible</li>
<li>MIT License</li>
</ul>
<a href="https://heroui.org/">Website</a>
<h3 id="10-tremor">10. Tremor</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*CmDPxxAlhSQtcAjp_nB1qw.png" alt="">
Key Features:
<ul>
<li>Dashboard-focused components</li>
<li>Built-in charts and graphs</li>
<li>Tailwind CSS integration</li>
<li>Data visualization tools</li>
<li>MIT License</li>
</ul>
<a href="https://www.tremor.so">Website</a>
<h3 id="bonus">Bonus:</h3>
<h3 id="11-untitled-uireact">11. Untitled UI React</h3>
<img src="https://cdn-images-1.medium.com/max/1600/1*2c82fup1VkYRaihsF7Rvsw.jpeg" alt="">
The newest React library on this list, <a href="https://www.untitledui.com/react">Untitled UI React</a> is the world’s largest collection of open-source React components built with Tailwind CSS v4.1, TypeScript, and React Aria.
It’s consistent, beautifully designed, and includes everything you need to design and develop modern, beautiful, responsive interfaces and websites in one neatly organized package. This library is ideal for teams already using Tailwind CSS who want production-ready, modern, accessible React components out of the box that don’t rely on external dependencies.
Key features:
<ul>
<li>Massive, production-ready library: Hundreds of accessible, responsive components and page examples, professionally designed and built for modern performance.</li>
<li>Styled with Tailwind CSS: Copy production-ready components built with the latest Tailwind CSS v4.1 utility classes and performance.</li>
<li>Accessibility at the core: Built on React Aria with WAI-ARIA accessibility standards and best practices. React Aria is actively maintained by Adobe, so you won’t get left high and dry.</li>
<li>Custom CLI tool: Add components or scaffold new projects effortlessly with a single command using our custom CLI tool.</li>
<li>Starter kits and integrations: Launch faster with pre-configured starter kits for <a href="http://bolt.new/">Bolt.new</a>, <a href="https://Next.js">Next.js</a>, and more, designed for real-world apps, not demos.</li>
<li>Seamless dark mode support: Components come with native dark mode support out-of-the-box, so there’s no need for separate styles.</li>
<li>No third-party maintainers: You own the code, so you can build and extend without relying on third-party maintainers and packages.</li>
</ul>
Untitled UI React is based on <a href="https://www.untitledui.com/figma">Untitled UI Figma</a>, the world’s largest and most popular Figma UI kit, so the components look great and design and code stay in sync with lifetime updates. You can use my Affiliate Link to support me: <a href="https://www.untitledui.com?aff=6Nz7pN">here</a>
<h3 id="usage-and-popularity">Usage and Popularity</h3>
While exact current usage statistics aren’t available, here are some indicators of popularity based on historical data:
<ul>
<li>GitHub stars and npm downloads suggest shadcn/ui, Chakra UI, and Headless UI have been among the most widely adopted</li>
<li>Corporate backing (like Adobe’s React Aria and Vercel’s adoption of shadcn/ui) has influenced adoption rates</li>
<li>Community engagement metrics show strong developer interest in composable libraries that offer full control over styling</li>
</ul>
<h3 id="choosing-the-rightlibrary">Choosing the Right Library</h3>
Consider these factors when selecting a UI library:
<ol>
<li>Bundle Size: If you’re building a performance-critical application, consider libraries like Headless UI or Radix UI that let you import only what you need.</li>
<li>Styling Approach: Libraries like shadcn/ui and daisyUI are ideal if you’re already using Tailwind CSS, while Chakra UI and Mantine offer their own styling solutions.</li>
<li>Use Case: For dashboards, Tremor might be your best bet. For maximum accessibility, consider React Aria or Ariakit.</li>
<li>Learning Curve: Some libraries like shadcn/ui require more setup but offer more flexibility, while others like NextUI provide more out-of-the-box functionality.</li>
</ol>
<h3 id="conclusion">Conclusion</h3>
The trend toward composable, utility-first UI libraries continues to grow. While shadcn/ui has popularized the concept of copy-paste components, each library in this list offers unique advantages for different use cases. The best choice depends on your specific needs, team expertise, and project requirements.
<h3 id="a-message-from-ourfounder">A message from our Founder</h3>
Hey, <a href="https://linkedin.com/in/sunilsandhu">Sunil</a> here. I wanted to take a moment to thank you for reading until the end and for being a part of this community.
Did you know that our team run these publications as a volunteer effort to over 3.5m monthly readers? We don’t receive any funding, we do this to support the community. ❤️
If you want to show some love, please take a moment to follow me on <a href="https://linkedin.com/in/sunilsandhu">LinkedIn</a>, <a href="https://tiktok.com/@messyfounder">TikTok</a>, <a href="https://instagram.com/sunilsandhu">Instagram</a>. You can also subscribe to our <a href="https://newsletter.plainenglish.io/">weekly newsletter</a>.

Top 10 Modern UI Component Libraries for React: A 2025 Guide

![](https://cdn-images-1.medium.com/max/1600/1*UV-SDXNXAL8RZer6Y5Jkfw.png)

As we approach 2026, the global business landscape is evolving faster than ever before.

Emerging technologies, shifting consumer behaviour, environmental concerns, and geopolitical dynamics are reshaping traditional industries and giving birth to new ones.

Entrepreneurs who understand these changes and strategically position themselves can tap into highly profitable ventures.

In this essay, I will explore the 10 most promising businesses to start in 2026, examining the market trends driving their growth, the opportunities they present, and the challenges entrepreneurs may encounter.

1\. AI-Powered Services and Automation Solutions

Overview:
Artificial Intelligence (AI) continues to revolutionize how businesses operate, from customer support to logistics.

Startups providing AI-driven automation tools, especially for small and medium-sized businesses (SMBs), will see explosive growth.

Why It’s Promising:

Businesses are under pressure to reduce costs and boost productivity.

Tools like chatbots, predictive analytics, and robotic process automation (RPA) are in high demand.

AI-as-a-Service (AIaaS) platforms are becoming more accessible.

Business Ideas:

AI customer service tools for e-commerce.

AI-based marketing and sales analytics platforms.

Automation consulting for small businesses.

Challenges:

Data privacy and regulation.

Requires technical expertise or partnerships with AI developers.

2\. Personalized Health & Wellness Tech

Overview:
From wearable devices to DNA-based diet planning, personalized health and wellness is rapidly expanding.

Consumers are seeking customised solutions tailored to their genetic, physical, and lifestyle data.

Why It’s Promising:

Rising awareness about preventive health.

Popularity of health tracking (e.g., smartwatches, fitness bands).

Advancements in genomics, diagnostics, and AI.

Business Ideas:

Subscription-based personalized meal and fitness plans.

Smart wearables for niche health conditions (e.g., sleep apnea).

AI health coaching apps.

Challenges:

Regulatory compliance (especially with health data).

High R\&D and product development costs.

3\. Green and Sustainable Products

Overview:
Consumers and regulators are pressuring businesses to adopt environmentally sustainable practices.

Eco-friendly products are no longer niche—they're mainstream.

Why It’s Promising:

Global push toward carbon neutrality.

Young consumers (Gen Z, Millennials) prioritize sustainability.

Government incentives for green businesses.

Business Ideas:

Reusable packaging solutions.

Plant-based food and cosmetic products.

Biodegradable home goods.

Challenges:

Need for sustainable supply chains.

Cost of materials may be higher initially.

4\. Virtual and Augmented Reality (VR/AR) Experiences

Overview:
With Apple Vision Pro and Meta Quest leading a new era, AR and VR are becoming more immersive and commercially viable.

By 2026, these technologies will transform sectors such as gaming, real estate, education, and therapy.

Why It’s Promising:

Increasing affordability of VR/AR headsets.

Metaverse platforms will mature.

AR is useful in retail, medicine, and training.

Business Ideas:

VR real estate tours.

AR filters and tools for e-commerce brands.

VR-based therapy or stress relief experiences.

Challenges:

High upfront tech investment.

Creating immersive content is resource-intensive.

5\. Remote Work Infrastructure and Tools

Overview:
Remote work is here to stay. Businesses need tools and platforms to manage distributed teams effectively.

Why It’s Promising:

Hybrid/remote work models are permanent in many sectors.

Growing need for asynchronous collaboration tools.

Increased demand for cybersecurity and remote IT support.

Business Ideas:

Virtual coworking platforms.

Project and productivity tracking apps.

Remote onboarding and HR tech services.

Challenges:

Competitive space with established players.

Requires continuous innovation to stay relevant.

6\. Digital Education and Upskilling Platforms

Overview:
The need for lifelong learning is rising due to automation and rapid job changes.

EdTech startups focusing on microlearning, skill-based training, and industry certification will thrive.

Why It’s Promising:

Increasing need for reskilling in AI, blockchain, and data science.

Growth of creator/influencer-led courses.

Expansion in developing countries where traditional education is limited.

Business Ideas:

Niche platforms for job-specific skills (e.g., drone piloting, ethical hacking).

Online mentorship marketplaces.

B2B training tools for corporations.

Challenges:

High churn rates among users.

Need for accreditation and credibility.

7\. Climate Tech and Clean Energy Startups

Overview:
Climate change is a defining challenge of our time.

Solutions that address carbon capture, renewable energy, water conservation, and sustainable agriculture will attract investment and public interest.

Why It’s Promising:

Governments are funding green innovation.

Rising cost of fossil fuels.

Growing demand for energy independence and climate resilience.

Business Ideas:

Solar panel installation with financing solutions.

Carbon offset platforms.

IoT devices for smart energy consumption in homes.

Challenges:

Requires scientific and engineering know-how.

Often capital-intensive.

8\. Cybersecurity Services

Overview:
As digitalization increases, so do cyber threats. Businesses of all sizes need protection against ransomware, phishing, and data breaches.

Why It’s Promising:

Data breaches cost businesses billions annually.

Growing demand for managed security services (especially for SMBs).

Governments are tightening cybersecurity regulations.

Business Ideas:

Cybersecurity-as-a-Service (CaaS).

Identity verification platforms.

AI-driven threat detection tools.

Challenges:

Constantly evolving threat landscape.

Requires deep technical expertise.

9\. Smart Logistics and Last-Mile Delivery

Overview:
With the continued boom in e-commerce and online groceries, logistics is getting smarter.

Startups that optimise delivery, reduce costs, and ensure speed will be invaluable.

Why It’s Promising:

Urbanization and fast delivery expectations.

AI, IoT, and robotics are making logistics smarter.

Demand for real-time tracking and sustainable delivery options.

Business Ideas:

Drone-based or EV delivery services.

Route optimization SaaS tools.

Smart warehouse tech

(e.g., autonomous forklifts).

Challenges:

Regulatory issues

(e.g., drone flights).

High investment in tech and fleet.

10\. Creator Economy Platforms and Services

Overview:
The creator economy—comprising influencers, YouTubers, podcasters, and more—is now a multibillion-dollar industry.

Tools and platforms that help creators monetise, manage, or grow their audience are in huge demand.

Why It’s Promising:

Massive growth of platforms like Substack, Patreon, and OnlyFans.

Creators need tools for editing, analytics, legal help, and so on.

Brands are shifting advertising dollars to influencer partnerships.

Business Ideas:

SaaS tools for content planning and analytics.

Creator marketplaces for brand deals.

Legal and financial advisory for creators.

Challenges:

Rapidly changing platform algorithms.

Reliance on third-party platforms for the user base.

Conclusion

The most promising businesses in 2026 are those at the intersection of technology, sustainability, and human needs.

Whether it’s using AI to streamline operations, building platforms to empower creators, or offering solutions for a greener planet, the opportunities are immense.

Entrepreneurs who succeed will be those who:

Anticipate global trends,

Embrace innovation,

Understand evolving consumer behavior, and

Are willing to pivot as conditions change.
The future favours those who prepare, and 2026 could be the launchpad for the next generation of billion-dollar companies.

### A message from our Founder

**Hey,** [**Sunil**](https://linkedin.com/in/sunilsandhu) **here.** I wanted to take a moment to thank you for reading until the end and for being a part of this community.

Did you know that our team run these publications as a volunteer effort to over 3.5m monthly readers? **We don’t receive any funding, we do this to support the community. ❤️**

If you want to show some love, please take a moment to **follow me on** [**LinkedIn**](https://linkedin.com/in/sunilsandhu)**,** [**TikTok**](https://tiktok.com/@messyfounder), [**Instagram**](https://instagram.com/sunilsandhu). You can also subscribe to our [**weekly newsletter**](https://newsletter.plainenglish.io/).

<img src="https://cdn-images-1.medium.com/max/1600/1*UV-SDXNXAL8RZer6Y5Jkfw.png" alt="">
As we approach 2026, the global business landscape is evolving faster than ever before.
Emerging technologies, shifting consumer behaviour, environmental concerns, and geopolitical dynamics are reshaping traditional industries and giving birth to new ones.
Entrepreneurs who understand these changes and strategically position themselves can tap into highly profitable ventures.
In this essay, I will explore the 10 most promising businesses to start in 2026, examining the market trends driving their growth, the opportunities they present, and the challenges entrepreneurs may encounter.
1. AI-Powered Services and Automation Solutions
Overview:
Artificial Intelligence (AI) continues to revolutionize how businesses operate, from customer support to logistics.
Startups providing AI-driven automation tools, especially for small and medium-sized businesses (SMBs), will see explosive growth.
Why It’s Promising:
Businesses are under pressure to reduce costs and boost productivity.
Tools like chatbots, predictive analytics, and robotic process automation (RPA) are in high demand.
AI-as-a-Service (AIaaS) platforms are becoming more accessible.
Business Ideas:
AI customer service tools for e-commerce.
AI-based marketing and sales analytics platforms.
Automation consulting for small businesses.
Challenges:
Data privacy and regulation.
Requires technical expertise or partnerships with AI developers.
2. Personalized Health &#x26; Wellness Tech
Overview:
From wearable devices to DNA-based diet planning, personalized health and wellness is rapidly expanding.
Consumers are seeking customised solutions tailored to their genetic, physical, and lifestyle data.
Why It’s Promising:
Rising awareness about preventive health.
Popularity of health tracking (e.g., smartwatches, fitness bands).
Advancements in genomics, diagnostics, and AI.
Business Ideas:
Subscription-based personalized meal and fitness plans.
Smart wearables for niche health conditions (e.g., sleep apnea).
AI health coaching apps.
Challenges:
Regulatory compliance (especially with health data).
High R&#x26;D and product development costs.
3. Green and Sustainable Products
Overview:
Consumers and regulators are pressuring businesses to adopt environmentally sustainable practices.
Eco-friendly products are no longer niche—they're mainstream.
Why It’s Promising:
Global push toward carbon neutrality.
Young consumers (Gen Z, Millennials) prioritize sustainability.
Government incentives for green businesses.
Business Ideas:
Reusable packaging solutions.
Plant-based food and cosmetic products.
Biodegradable home goods.
Challenges:
Need for sustainable supply chains.
Cost of materials may be higher initially.
4. Virtual and Augmented Reality (VR/AR) Experiences
Overview:
With Apple Vision Pro and Meta Quest leading a new era, AR and VR are becoming more immersive and commercially viable.
By 2026, these technologies will transform sectors such as gaming, real estate, education, and therapy.
Why It’s Promising:
Increasing affordability of VR/AR headsets.
Metaverse platforms will mature.
AR is useful in retail, medicine, and training.
Business Ideas:
VR real estate tours.
AR filters and tools for e-commerce brands.
VR-based therapy or stress relief experiences.
Challenges:
High upfront tech investment.
Creating immersive content is resource-intensive.
5. Remote Work Infrastructure and Tools
Overview:
Remote work is here to stay. Businesses need tools and platforms to manage distributed teams effectively.
Why It’s Promising:
Hybrid/remote work models are permanent in many sectors.
Growing need for asynchronous collaboration tools.
Increased demand for cybersecurity and remote IT support.
Business Ideas:
Virtual coworking platforms.
Project and productivity tracking apps.
Remote onboarding and HR tech services.
Challenges:
Competitive space with established players.
Requires continuous innovation to stay relevant.
6. Digital Education and Upskilling Platforms
Overview:
The need for lifelong learning is rising due to automation and rapid job changes.
EdTech startups focusing on microlearning, skill-based training, and industry certification will thrive.
Why It’s Promising:
Increasing need for reskilling in AI, blockchain, and data science.
Growth of creator/influencer-led courses.
Expansion in developing countries where traditional education is limited.
Business Ideas:
Niche platforms for job-specific skills (e.g., drone piloting, ethical hacking).
Online mentorship marketplaces.
B2B training tools for corporations.
Challenges:
High churn rates among users.
Need for accreditation and credibility.
7. Climate Tech and Clean Energy Startups
Overview:
Climate change is a defining challenge of our time.
Solutions that address carbon capture, renewable energy, water conservation, and sustainable agriculture will attract investment and public interest.
Why It’s Promising:
Governments are funding green innovation.
Rising cost of fossil fuels.
Growing demand for energy independence and climate resilience.
Business Ideas:
Solar panel installation with financing solutions.
Carbon offset platforms.
IoT devices for smart energy consumption in homes.
Challenges:
Requires scientific and engineering know-how.
Often capital-intensive.
8. Cybersecurity Services
Overview:
As digitalization increases, so do cyber threats. Businesses of all sizes need protection against ransomware, phishing, and data breaches.
Why It’s Promising:
Data breaches cost businesses billions annually.
Growing demand for managed security services (especially for SMBs).
Governments are tightening cybersecurity regulations.
Business Ideas:
Cybersecurity-as-a-Service (CaaS).
Identity verification platforms.
AI-driven threat detection tools.
Challenges:
Constantly evolving threat landscape.
Requires deep technical expertise.
9. Smart Logistics and Last-Mile Delivery
Overview:
With the continued boom in e-commerce and online groceries, logistics is getting smarter.
Startups that optimise delivery, reduce costs, and ensure speed will be invaluable.
Why It’s Promising:
Urbanization and fast delivery expectations.
AI, IoT, and robotics are making logistics smarter.
Demand for real-time tracking and sustainable delivery options.
Business Ideas:
Drone-based or EV delivery services.
Route optimization SaaS tools.
Smart warehouse tech
(e.g., autonomous forklifts).
Challenges:
Regulatory issues
(e.g., drone flights).
High investment in tech and fleet.
10. Creator Economy Platforms and Services
Overview:
The creator economy—comprising influencers, YouTubers, podcasters, and more—is now a multibillion-dollar industry.
Tools and platforms that help creators monetise, manage, or grow their audience are in huge demand.
Why It’s Promising:
Massive growth of platforms like Substack, Patreon, and OnlyFans.
Creators need tools for editing, analytics, legal help, and so on.
Brands are shifting advertising dollars to influencer partnerships.
Business Ideas:
SaaS tools for content planning and analytics.
Creator marketplaces for brand deals.
Legal and financial advisory for creators.
Challenges:
Rapidly changing platform algorithms.
Reliance on third-party platforms for the user base.
Conclusion
The most promising businesses in 2026 are those at the intersection of technology, sustainability, and human needs.
Whether it’s using AI to streamline operations, building platforms to empower creators, or offering solutions for a greener planet, the opportunities are immense.
Entrepreneurs who succeed will be those who:
Anticipate global trends,
Embrace innovation,
Understand evolving consumer behavior, and
Are willing to pivot as conditions change.
The future favours those who prepare, and 2026 could be the launchpad for the next generation of billion-dollar companies.
<h3 id="a-message-from-ourfounder">A message from our Founder</h3>
Hey, <a href="https://linkedin.com/in/sunilsandhu">Sunil</a> here. I wanted to take a moment to thank you for reading until the end and for being a part of this community.
Did you know that our team run these publications as a volunteer effort to over 3.5m monthly readers? We don’t receive any funding, we do this to support the community. ❤️
If you want to show some love, please take a moment to follow me on <a href="https://linkedin.com/in/sunilsandhu">LinkedIn</a>, <a href="https://tiktok.com/@messyfounder">TikTok</a>, <a href="https://instagram.com/sunilsandhu">Instagram</a>. You can also subscribe to our <a href="https://newsletter.plainenglish.io/">weekly newsletter</a>.

Top 10 Most Promising Businesses to Start in 2026

![](https://cdn-images-1.medium.com/max/2400/0*MS3jsebj8AsD3Gqt)

AI Generated

Let’s face it: Python is a beautiful mess.

On one hand, it’s the glue holding modern AI workflows together. On the other, it’s become a bit of a graveyard for libraries that *should* have retired years ago.

Now, before you raise your pitchfork, I’m *not* saying these libraries were bad. Most of them were brilliant in their prime. But this is 2025, and we need to talk about the tools in your stack that are quietly draining your time, your compute, and sometimes — your will to code.

So, here’s my hit list: 5 Python libraries you *need* to drop this year, and what to use instead.

### 1. Matplotlib

> Why it’s on the chopping block: It’s like drawing with a chisel in the age of iPads.

Matplotlib is the granddaddy of Python plotting libraries. And I respect my elders… but not when they make me write 20 lines of code just to get a bar chart that doesn’t look like it was generated in 2008.

The truth? Matplotlib has become the PowerPoint 2003 of data viz — clunky, verbose, and visually uninspiring unless you *heavily* customize it.

**Use Instead**:

* **Plotly** (for interactivity and modern UI)
* **Altair** (for quick, declarative, grammar-based plots)
* **Polars + hvPlot** (if you’re moving toward faster, Arrow-native workflows)

> Quick fact: Plotly Express can render a polished chart with 1 line of code. Matplotlib? More like 6, plus debugging time.

### 2. Requests

> Why it’s on the chopping block: It’s blocking your progress — literally.

I’ll be honest: I used to swear by `requests`. I still reach for it when I want to fetch a simple webpage or check a status code. But in 2025, speed is the name of the game — and `requests` is slow, synchronous, and not built for concurrent workloads.

If your AI or data pipeline involves scraping, fetching APIs, or any kind of batch HTTP work, `requests` is the bottleneck.

**Use Instead**:

* **httpx** (drop-in replacement with async support)
* **aiohttp** (for full async workflows)
* **trio + asks** (if you’re feeling bold — and okay with learning curve)

> Bonus: `httpx` supports connection pooling and HTTP/2 out of the box. `requests` still thinks it’s 2012.

### 3. pickle

> Why it’s on the chopping block: It’s insecure, opaque, and a pain to debug.

Ah, `pickle`. The duct tape of object serialization in Python. Sure, it works — until it doesn’t.

Let’s count the issues:

* You can’t inspect the output.
* It’s not language-agnostic.
* It can execute arbitrary code (hello, security risks).
* And let’s not even start on version incompatibility between Python 3.10 and 3.12.

**Use Instead**:

* **joblib** (for ML model artifacts)
* **json / orjson** (for structured data)
* **pydantic v2 + dataclasses-json** (for typed, safe serialization)
* **protobuf / msgpack** (if performance and interoperability matter)

> In short: if your object matters, don’t pickle it. You’re better than that.

### 4. BeautifulSoup

> Why it’s on the chopping block: It’s the Swiss army knife you keep using as a chainsaw.

Don’t get me wrong — `BeautifulSoup` is elegant. For small HTML parsing tasks, it’s still handy. But anything more complex than scraping a single webpage and it turns into a brittle mess of `find_all()` spaghetti.

You want speed? It’s not here. You want structured DOM parsing with modern JavaScript rendering? Look elsewhere.

**Use Instead**:

* **selectolax** (ultra-fast parsing via Rust)
* **parsel** (for XPath and CSS queries)
* **Playwright / Selenium** (when JS rendering is required)
* **trafilatura** (for extracting clean article text — a hidden gem)

> TL;DR: If your scraper breaks every time a `<div>` tag changes, you’re doing it wrong.

### 5. TensorFlow 1.x and legacy Keras

> Why it’s on the chopping block: You deserve a better developer experience.

I know there are still tutorials floating around that teach TensorFlow 1.x like it’s 2017. And I get the nostalgia — static graphs, `sess.run()`, and [`tf.placeholder`](https://tf.placeholder) were... character-building.

But at this point, if you’re not using PyTorch or at least TensorFlow 2.x (with `tf.keras`), you're actively making your life harder.

Modern LLM workflows, custom training loops, ONNX export — they’re just smoother in PyTorch. That’s not an opinion. That’s a battle-tested fact.

**Use Instead**:

* **PyTorch** (flexibility and ecosystem)
* **JAX** (for TPU speed demons and pure function lovers)
* **HuggingFace Transformers + Diffusers** (because why reinvent?)

> Also, fun fact: almost every new paper implementation from CVPR/NeurIPS now uses PyTorch or JAX. Not TensorFlow.

***

> [**Master Python Faster! 🚀 Grab Your FREE Ultimate Python Cheat Sheet — Click Here to Download!**](https://abdurrahman12.gumroad.com/l/cheat-sheat)

*If you enjoyed reading, be sure to give it 50 claps! **Follow** and don’t miss out on any of my future posts — **subscribe** to my profile for must-read blog updates!*

***Thanks for reading!***

### Thank you for being a part of the community

*Before you go:***️️**

* Follow us: [**X**](https://x.com/inPlainEngHQ) | [**LinkedIn**](https://www.linkedin.com/company/inplainenglish/) | [**YouTube**](https://www.youtube.com/@InPlainEnglish) | [**Newsletter**](https://newsletter.plainenglish.io/) | [**Podcast**](https://open.spotify.com/show/7qxylRWKhvZwMz2WuEoua0) | [**Twitch**](https://twitch.tv/inplainenglish)
* [**Start your own free AI-powered blog on Differ**](https://differ.blog/) 🚀
* [**Join our content creators community on Discord**](https://discord.gg/in-plain-english-709094664682340443) 🧑🏻‍💻
* For more content, visit [**plainenglish.io**](https://plainenglish.io/) + [**stackademic.com**](https://stackademic.com/)

<img src="https://cdn-images-1.medium.com/max/2400/0*MS3jsebj8AsD3Gqt" alt="">
AI Generated
Let’s face it: Python is a beautiful mess.
On one hand, it’s the glue holding modern AI workflows together. On the other, it’s become a bit of a graveyard for libraries that should have retired years ago.
Now, before you raise your pitchfork, I’m not saying these libraries were bad. Most of them were brilliant in their prime. But this is 2025, and we need to talk about the tools in your stack that are quietly draining your time, your compute, and sometimes — your will to code.
So, here’s my hit list: 5 Python libraries you need to drop this year, and what to use instead.
<h3 id="1-matplotlib">1. Matplotlib</h3>
<blockquote>
Why it’s on the chopping block: It’s like drawing with a chisel in the age of iPads.
</blockquote>
Matplotlib is the granddaddy of Python plotting libraries. And I respect my elders… but not when they make me write 20 lines of code just to get a bar chart that doesn’t look like it was generated in 2008.
The truth? Matplotlib has become the PowerPoint 2003 of data viz — clunky, verbose, and visually uninspiring unless you heavily customize it.
Use Instead:
<ul>
<li>Plotly (for interactivity and modern UI)</li>
<li>Altair (for quick, declarative, grammar-based plots)</li>
<li>Polars + hvPlot (if you’re moving toward faster, Arrow-native workflows)</li>
</ul>
<blockquote>
Quick fact: Plotly Express can render a polished chart with 1 line of code. Matplotlib? More like 6, plus debugging time.
</blockquote>
<h3 id="2-requests">2. Requests</h3>
<blockquote>
Why it’s on the chopping block: It’s blocking your progress — literally.
</blockquote>
I’ll be honest: I used to swear by <code>requests</code>. I still reach for it when I want to fetch a simple webpage or check a status code. But in 2025, speed is the name of the game — and <code>requests</code> is slow, synchronous, and not built for concurrent workloads.
If your AI or data pipeline involves scraping, fetching APIs, or any kind of batch HTTP work, <code>requests</code> is the bottleneck.
Use Instead:
<ul>
<li>httpx (drop-in replacement with async support)</li>
<li>aiohttp (for full async workflows)</li>
<li>trio + asks (if you’re feeling bold — and okay with learning curve)</li>
</ul>
<blockquote>
Bonus: <code>httpx</code> supports connection pooling and HTTP/2 out of the box. <code>requests</code> still thinks it’s 2012.
</blockquote>
<h3 id="3-pickle">3. pickle</h3>
<blockquote>
Why it’s on the chopping block: It’s insecure, opaque, and a pain to debug.
</blockquote>
Ah, <code>pickle</code>. The duct tape of object serialization in Python. Sure, it works — until it doesn’t.
Let’s count the issues:
<ul>
<li>You can’t inspect the output.</li>
<li>It’s not language-agnostic.</li>
<li>It can execute arbitrary code (hello, security risks).</li>
<li>And let’s not even start on version incompatibility between Python 3.10 and 3.12.</li>
</ul>
Use Instead:
<ul>
<li>joblib (for ML model artifacts)</li>
<li>json / orjson (for structured data)</li>
<li>pydantic v2 + dataclasses-json (for typed, safe serialization)</li>
<li>protobuf / msgpack (if performance and interoperability matter)</li>
</ul>
<blockquote>
In short: if your object matters, don’t pickle it. You’re better than that.
</blockquote>
<h3 id="4-beautifulsoup">4. BeautifulSoup</h3>
<blockquote>
Why it’s on the chopping block: It’s the Swiss army knife you keep using as a chainsaw.
</blockquote>
Don’t get me wrong — <code>BeautifulSoup</code> is elegant. For small HTML parsing tasks, it’s still handy. But anything more complex than scraping a single webpage and it turns into a brittle mess of <code>find_all()</code> spaghetti.
You want speed? It’s not here. You want structured DOM parsing with modern JavaScript rendering? Look elsewhere.
Use Instead:
<ul>
<li>selectolax (ultra-fast parsing via Rust)</li>
<li>parsel (for XPath and CSS queries)</li>
<li>Playwright / Selenium (when JS rendering is required)</li>
<li>trafilatura (for extracting clean article text — a hidden gem)</li>
</ul>
<blockquote>
TL;DR: If your scraper breaks every time a <code>&#x3C;div></code> tag changes, you’re doing it wrong.
</blockquote>
<h3 id="5-tensorflow-1x-and-legacykeras">5. TensorFlow 1.x and legacy Keras</h3>
<blockquote>
Why it’s on the chopping block: You deserve a better developer experience.
</blockquote>
I know there are still tutorials floating around that teach TensorFlow 1.x like it’s 2017. And I get the nostalgia — static graphs, <code>sess.run()</code>, and <a href="https://tf.placeholder"><code>tf.placeholder</code></a> were... character-building.
But at this point, if you’re not using PyTorch or at least TensorFlow 2.x (with <code>tf.keras</code>), you're actively making your life harder.
Modern LLM workflows, custom training loops, ONNX export — they’re just smoother in PyTorch. That’s not an opinion. That’s a battle-tested fact.
Use Instead:
<ul>
<li>PyTorch (flexibility and ecosystem)</li>
<li>JAX (for TPU speed demons and pure function lovers)</li>
<li>HuggingFace Transformers + Diffusers (because why reinvent?)</li>
</ul>
<blockquote>
Also, fun fact: almost every new paper implementation from CVPR/NeurIPS now uses PyTorch or JAX. Not TensorFlow.
</blockquote>
<hr>
<blockquote>
<a href="https://abdurrahman12.gumroad.com/l/cheat-sheat">Master Python Faster! 🚀 Grab Your FREE Ultimate Python Cheat Sheet — Click Here to Download!</a>
</blockquote>
If you enjoyed reading, be sure to give it 50 claps! Follow and don’t miss out on any of my future posts — subscribe to my profile for must-read blog updates!
Thanks for reading!
<h3 id="thank-you-for-being-a-part-of-the-community">Thank you for being a part of the community</h3>
*Before you go:*️️
<ul>
<li>Follow us: <a href="https://x.com/inPlainEngHQ">X</a> | <a href="https://www.linkedin.com/company/inplainenglish/">LinkedIn</a> | <a href="https://www.youtube.com/@InPlainEnglish">YouTube</a> | <a href="https://newsletter.plainenglish.io/">Newsletter</a> | <a href="https://open.spotify.com/show/7qxylRWKhvZwMz2WuEoua0">Podcast</a> | <a href="https://twitch.tv/inplainenglish">Twitch</a></li>
<li><a href="https://differ.blog/">Start your own free AI-powered blog on Differ</a> 🚀</li>
<li><a href="https://discord.gg/in-plain-english-709094664682340443">Join our content creators community on Discord</a> 🧑🏻‍💻</li>
<li>For more content, visit <a href="https://plainenglish.io/">plainenglish.io</a> + <a href="https://stackademic.com/">stackademic.com</a></li>
</ul>

They’re slowing you down — and no one’s telling you

Stop Using These 5 Python Libraries in 2025

![](https://cdn-images-1.medium.com/max/2400/0*YJtcMmB1bLvJLFGm)

If you’ve been building software long enough, you know the real horror story isn’t the bug you can’t fix — it’s the one you don’t even know exists. Nothing tanks confidence in a project faster than flaky tests, untraceable crashes, and deployment chaos.

The good news? Python has a treasure chest of tools designed to prevent your next project from becoming a dumpster fire. And I don’t mean the usual suspects like `pytest` or `virtualenv`. I’m talking about tools that even seasoned developers rarely touch — the kind that’ll have you catching issues before they escalate, automating sanity checks, and sleeping like an actual human being at night.

Let’s dive in.

### 1. `bandit` — Security Checks You Wish You Ran Earlier

Imagine shipping code only to realize you hardcoded credentials in a forgotten utility file. Nightmare fuel.

`bandit` scans your Python codebase for common security issues: weak cryptography, unsafe function usage, and other “I’ll fix it later” mistakes.

```
pip install banditbandit -r your_project/
```

> Tip: Run it as part of your CI pipeline. Because nothing feels worse than finding out from a Hacker News post that your app leaked an API key.

### 2. `py-spy` — Your Project’s Black Box Recorder

Performance bugs are the trickiest. They only show up when you’re demoing to your boss, right?

`py-spy` is a sampling profiler that lets you peek into what your Python process is doing *without restarting it*. No code changes, no restarts, no excuses.

```
pip install py-spypy-spy top --pid <your_pid>
```

> Fact: NASA has been using profiler tools like this for decades — because when you’re running code on a rover 200 million miles away, debugging isn’t really an option.

### 3. `hypothesis` — The Test Generator You Didn’t Know You Needed

We humans write boring tests. We check the happy path, maybe throw in a couple of edge cases. But what about the edge cases of edge cases?

Enter `hypothesis`. It generates thousands of randomized test inputs, automatically exploring corners of your code you’d never manually think of.

```
from hypothesis import given, strategies as st@given(st.lists(st.integers()))def test_sorting(nums): assert sorted(nums) == sorted(sorted(nums))
```

This has caught real-world bugs in libraries maintained by teams of PhDs. If they can miss things, so can you.

### 4. `safety` — Dependency Audit on Autopilot

Your code is only as safe as your dependencies — and let’s face it, half of PyPI is one bad day away from CVEs.

> `safety` checks your installed packages against a database of known vulnerabilities.

```
pip install safetysafety check
```

Run this once and you’ll probably discover that your favorite library hasn’t patched a critical issue since 2019.

### 5. `structlog` — Logging That’s Actually Readable

Default Python logs? About as decipherable as hieroglyphics.

`structlog` lets you log in structured JSON, making it painless to search, filter, and debug in production. Pair it with tools like Elasticsearch or Loki, and suddenly tracing that elusive bug isn’t a guessing game anymore.

```
import structloglog = structlog.get_logger()log.info("user_logged_in", user_id=123, feature="checkout")
```

> Because the only thing worse than a production error is a production error with cryptic logs.

### 6. `tox` — Testing in Parallel Universes

You tested locally on Python 3.10. CI runs on 3.9. Production is still on 3.8 because “upgrades break stuff.” Sound familiar?

`tox` runs your test suite across multiple Python environments automatically. One config file, infinite peace of mind.

```
pip install toxtox
```

Think of it as multiverse testing — if your code can survive across dimensions (read: versions), it can survive production.

### 7. `pre-commit` — Your Personal Gatekeeper

You know that one teammate who commits print statements straight to `main`? Yeah.

`pre-commit` lets you enforce hooks that run automatically before every commit — formatting, linting, type checks, even banning TODOs.

```
pip install pre-commitpre-commit install
```

> It’s like giving your repo a bouncer. No nonsense gets in.

### 8. `pdbpp` — Debugging, but Without the Pain

Standard `pdb` works… but it feels like using Notepad when you’ve got VS Code installed.

`pdbpp` is a drop-in replacement that adds syntax highlighting, sticky mode (see code around the current frame), and smarter navigation.

```
pip install pdbpppython -m pdb your_script.py
```

> Once you try it, you’ll wonder how you ever lived without it.

***

If you enjoyed reading this please make sure to give ***50 CLAPS*** and hit ***FOLLOW*** button.

*Thanks for reading :)*

### A message from our Founder

**Hey,** [**Sunil**](https://linkedin.com/in/sunilsandhu) **here.** I wanted to take a moment to thank you for reading until the end and for being a part of this community.

Did you know that our team run these publications as a volunteer effort to over 3.5m monthly readers? **We don’t receive any funding, we do this to support the community. ❤️**

If you want to show some love, please take a moment to **follow me on** [**LinkedIn**](https://linkedin.com/in/sunilsandhu)**,** [**TikTok**](https://tiktok.com/@messyfounder), [**Instagram**](https://instagram.com/sunilsandhu). You can also subscribe to our [**weekly newsletter**](https://newsletter.plainenglish.io/).

<img src="https://cdn-images-1.medium.com/max/2400/0*YJtcMmB1bLvJLFGm" alt="">
If you’ve been building software long enough, you know the real horror story isn’t the bug you can’t fix — it’s the one you don’t even know exists. Nothing tanks confidence in a project faster than flaky tests, untraceable crashes, and deployment chaos.
The good news? Python has a treasure chest of tools designed to prevent your next project from becoming a dumpster fire. And I don’t mean the usual suspects like <code>pytest</code> or <code>virtualenv</code>. I’m talking about tools that even seasoned developers rarely touch — the kind that’ll have you catching issues before they escalate, automating sanity checks, and sleeping like an actual human being at night.
Let’s dive in.
<h3 id="1-banditsecurity-checks-you-wish-you-ranearlier">1. <code>bandit</code> — Security Checks You Wish You Ran Earlier</h3>
Imagine shipping code only to realize you hardcoded credentials in a forgotten utility file. Nightmare fuel.
<code>bandit</code> scans your Python codebase for common security issues: weak cryptography, unsafe function usage, and other “I’ll fix it later” mistakes.
<pre><code class="code-highlight">pip install banditbandit -r your_project/
</code></pre>
<blockquote>
Tip: Run it as part of your CI pipeline. Because nothing feels worse than finding out from a Hacker News post that your app leaked an API key.
</blockquote>
<h3 id="2-py-spyyour-projects-black-boxrecorder">2. <code>py-spy</code> — Your Project’s Black Box Recorder</h3>
Performance bugs are the trickiest. They only show up when you’re demoing to your boss, right?
<code>py-spy</code> is a sampling profiler that lets you peek into what your Python process is doing without restarting it. No code changes, no restarts, no excuses.
<pre><code class="code-highlight">pip install py-spypy-spy top --pid &#x3C;your_pid>
</code></pre>
<blockquote>
Fact: NASA has been using profiler tools like this for decades — because when you’re running code on a rover 200 million miles away, debugging isn’t really an option.
</blockquote>
<h3 id="3-hypothesisthe-test-generator-you-didnt-know-youneeded">3. <code>hypothesis</code> — The Test Generator You Didn’t Know You Needed</h3>
We humans write boring tests. We check the happy path, maybe throw in a couple of edge cases. But what about the edge cases of edge cases?
Enter <code>hypothesis</code>. It generates thousands of randomized test inputs, automatically exploring corners of your code you’d never manually think of.
<pre><code class="code-highlight">from hypothesis import given, strategies as st@given(st.lists(st.integers()))def test_sorting(nums): assert sorted(nums) == sorted(sorted(nums))
</code></pre>
This has caught real-world bugs in libraries maintained by teams of PhDs. If they can miss things, so can you.
<h3 id="4-safetydependency-audit-on-autopilot">4. <code>safety</code> — Dependency Audit on Autopilot</h3>
Your code is only as safe as your dependencies — and let’s face it, half of PyPI is one bad day away from CVEs.
<blockquote>
<code>safety</code> checks your installed packages against a database of known vulnerabilities.
</blockquote>
<pre><code class="code-highlight">pip install safetysafety check
</code></pre>
Run this once and you’ll probably discover that your favorite library hasn’t patched a critical issue since 2019.
<h3 id="5-structloglogging-thats-actuallyreadable">5. <code>structlog</code> — Logging That’s Actually Readable</h3>
Default Python logs? About as decipherable as hieroglyphics.
<code>structlog</code> lets you log in structured JSON, making it painless to search, filter, and debug in production. Pair it with tools like Elasticsearch or Loki, and suddenly tracing that elusive bug isn’t a guessing game anymore.
<pre><code class="code-highlight">import structloglog = structlog.get_logger()log.info("user_logged_in", user_id=123, feature="checkout")
</code></pre>
<blockquote>
Because the only thing worse than a production error is a production error with cryptic logs.
</blockquote>
<h3 id="6-toxtesting-in-parallel-universes">6. <code>tox</code> — Testing in Parallel Universes</h3>
You tested locally on Python 3.10. CI runs on 3.9. Production is still on 3.8 because “upgrades break stuff.” Sound familiar?
<code>tox</code> runs your test suite across multiple Python environments automatically. One config file, infinite peace of mind.
<pre><code class="code-highlight">pip install toxtox
</code></pre>
Think of it as multiverse testing — if your code can survive across dimensions (read: versions), it can survive production.
<h3 id="7-pre-commityour-personal-gatekeeper">7. <code>pre-commit</code> — Your Personal Gatekeeper</h3>
You know that one teammate who commits print statements straight to <code>main</code>? Yeah.
<code>pre-commit</code> lets you enforce hooks that run automatically before every commit — formatting, linting, type checks, even banning TODOs.
<pre><code class="code-highlight">pip install pre-commitpre-commit install
</code></pre>
<blockquote>
It’s like giving your repo a bouncer. No nonsense gets in.
</blockquote>
<h3 id="8-pdbppdebugging-but-without-thepain">8. <code>pdbpp</code> — Debugging, but Without the Pain</h3>
Standard <code>pdb</code> works… but it feels like using Notepad when you’ve got VS Code installed.
<code>pdbpp</code> is a drop-in replacement that adds syntax highlighting, sticky mode (see code around the current frame), and smarter navigation.
<pre><code class="code-highlight">pip install pdbpppython -m pdb your_script.py
</code></pre>
<blockquote>
Once you try it, you’ll wonder how you ever lived without it.
</blockquote>
<hr>
If you enjoyed reading this please make sure to give 50 CLAPS and hit FOLLOW button.
Thanks for reading :)
<h3 id="a-message-from-ourfounder">A message from our Founder</h3>
Hey, <a href="https://linkedin.com/in/sunilsandhu">Sunil</a> here. I wanted to take a moment to thank you for reading until the end and for being a part of this community.
Did you know that our team run these publications as a volunteer effort to over 3.5m monthly readers? We don’t receive any funding, we do this to support the community. ❤️
If you want to show some love, please take a moment to follow me on <a href="https://linkedin.com/in/sunilsandhu">LinkedIn</a>, <a href="https://tiktok.com/@messyfounder">TikTok</a>, <a href="https://instagram.com/sunilsandhu">Instagram</a>. You can also subscribe to our <a href="https://newsletter.plainenglish.io/">weekly newsletter</a>.

 8 Python Tools That Stop Projects From Breaking

 Fewer fires, more shipping.

40+ Genius Ways to Make Money from AI with Gemini 2.0: A Comprehensive Guide

![](https://cdn-images-1.medium.com/max/2600/0*5AYlaizIxHftu3oE)

Photo by [Boitumelo Phetla](https://unsplash.com/@writecodenow?utm_source=medium\&utm_medium=referral) on [Unsplash](https://unsplash.com?utm_source=medium\&utm_medium=referral)

Today we will learn how to send desktop notifications with Python. For this we will just need a computer with Python installed.

### Packages and Setup

You’ll need Plyer’s notification for this project:

```
# In CMD or terminal
``````
pip install plyer
``````
# In project
``````
from plyer import notification
```

You can send notifications by calling the `notify()` function from notification.

It takes four parameters:

`title` The large header text at the top of a notification.

`message` The longer, smaller text where you put more detailed information.

`app_icon` The image that appears next to the title and message.

`timeout` How long the message should show on screen.

If we run it right now, our notification should show up!

![](https://cdn-images-1.medium.com/max/1600/1*Au9m7XZZFQ083Dh3xvy0GQ.png)

**Figure 1:** Notification!

***

> *💡* Speed up your blog creation with [***DifferAI***](https://differ.blog/differ-ai).

> Available for ***free******* exclusively on the ***free and open blogging platform,*** [***Differ***](https://differ.blog/)**.**

[**Try DifferAI — Your Free Writing Assistant**
*DifferAI is your writing co-pilot — seamlessly integrated within Differ’s text editor. Powered by an LLM specifically built for writers and bloggers.*&#x64;iffer.blog](https://differ.blog/differ-ai "https://differ.blog/differ-ai")

***

### Improving the design

Let’s add an image. All we have to do for this part is specify the file path of the image!

***Note:** You have to use a `.ico` file.*

```
app_icon = "image.ico"
```

![](https://cdn-images-1.medium.com/max/1600/1*qzaAdPa20Svgt6j_5oaxtA.png)

**Figure 2:** Notification with image!

### Delay

You can enforce a delay by using Python’s `time.sleep()`:

And it shows up every 30 seconds!

![](https://cdn-images-1.medium.com/max/1600/1*qzaAdPa20Svgt6j_5oaxtA.png)

**Figure 3:** Notification with delay!

### 24/7 365

You can run this file forever with `pythonw`.

`cd` into the directory your `.py` file is, and then execute the command below

```
pythonw filename.py
```

It should execute without any errors.

We can confirm it works by going to our task manager and see the active tasks.

![](https://cdn-images-1.medium.com/max/1600/1*bikEtLQFg6b2vDCD6xHUKQ.png)

**Figure 4:** Python file running in background.

To kill the process, end the task.

If that doesn’t work, and you only have one `pythonw` task running, you can use this command.

```
taskkill /IM pythonw.exe /F
```

### Conclusion

I hope you enjoyed reading this, and that you find a good use for this tool! If you have any questions, suggestions, or general feedback, put it in the comments! Thanks!

<img src="https://cdn-images-1.medium.com/max/2600/0*5AYlaizIxHftu3oE" alt="">
Photo by <a href="https://unsplash.com/@writecodenow?utm_source=medium&#x26;utm_medium=referral">Boitumelo Phetla</a> on <a href="https://unsplash.com?utm_source=medium&#x26;utm_medium=referral">Unsplash</a>
Today we will learn how to send desktop notifications with Python. For this we will just need a computer with Python installed.
<h3 id="packages-andsetup">Packages and Setup</h3>
You’ll need Plyer’s notification for this project:
<pre><code class="code-highlight"># In CMD or terminal
</code></pre>
pip install plyer
<pre><code class="code-highlight"># In project
</code></pre>
from plyer import notification
<pre><code class="code-highlight">
You can send notifications by calling the `notify()` function from notification.

It takes four parameters:

`title` The large header text at the top of a notification.

`message` The longer, smaller text where you put more detailed information.

`app_icon` The image that appears next to the title and message.

`timeout` How long the message should show on screen.

If we run it right now, our notification should show up!

![](https://cdn-images-1.medium.com/max/1600/1*Au9m7XZZFQ083Dh3xvy0GQ.png)

**Figure 1:** Notification!

***

> *💡* Speed up your blog creation with [***DifferAI***](https://differ.blog/differ-ai).

> Available for ***free******* exclusively on the ***free and open blogging platform,*** [***Differ***](https://differ.blog/)**.**

[**Try DifferAI — Your Free Writing Assistant**
*DifferAI is your writing co-pilot — seamlessly integrated within Differ’s text editor. Powered by an LLM specifically built for writers and bloggers.*&#x26;#x64;iffer.blog](https://differ.blog/differ-ai "https://differ.blog/differ-ai")

***

### Improving the design

Let’s add an image. All we have to do for this part is specify the file path of the image!

***Note:** You have to use a `.ico` file.*

</code></pre>
app_icon = "image.ico"
<pre><code class="code-highlight">
![](https://cdn-images-1.medium.com/max/1600/1*qzaAdPa20Svgt6j_5oaxtA.png)

**Figure 2:** Notification with image!

### Delay

You can enforce a delay by using Python’s `time.sleep()`:

And it shows up every 30 seconds!

![](https://cdn-images-1.medium.com/max/1600/1*qzaAdPa20Svgt6j_5oaxtA.png)

**Figure 3:** Notification with delay!

### 24/7 365

You can run this file forever with `pythonw`.

`cd` into the directory your `.py` file is, and then execute the command below

</code></pre>
pythonw filename.py
<pre><code class="code-highlight">
It should execute without any errors.

We can confirm it works by going to our task manager and see the active tasks.

![](https://cdn-images-1.medium.com/max/1600/1*bikEtLQFg6b2vDCD6xHUKQ.png)

**Figure 4:** Python file running in background.

To kill the process, end the task.

If that doesn’t work, and you only have one `pythonw` task running, you can use this command.

</code></pre>
taskkill /IM pythonw.exe /F
<pre><code class="code-highlight">
### Conclusion

I hope you enjoyed reading this, and that you find a good use for this tool! If you have any questions, suggestions, or general feedback, put it in the comments! Thanks!
</code></pre>

How to Send Desktop Notifications with Python

No experience required!

![](https://cdn-images-1.medium.com/max/1600/1*W509g44tbDdjsMH1PW55zw.png)
Image: [unsplash](https://images.unsplash.com/photo-1631350397792-8e0c2de5b637?q=80\&w=1170\&auto=format\&fit=crop\&ixlib=rb-4.1.0\&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D)

Hackathon prizes motivate developers and reward effort.

And when choosing prize items, thoughtful swag wins because it speaks your brand and stays useful long after the event ends. Portable gear makes travel easy. Sustainable materials connect with people who care about impact.

So, what kind of branded items do participants actually keep?

Keep reading for ideas that work.

## 1. Power Banks that Save the Day

Developers rely on their devices nonstop during hackathons. Phones, tablets, and laptops drain fast under heavy use.

A compact power bank keeps the work going without hunting for outlets. Consider quick-charge ports, multiple outputs, and durable builds. Add a clean company logo, and it becomes both tool and keepsake.

## 2. Customizable Laptop Backpacks Built to Last

Developers carry a lot, from laptops to chargers to snacks. A sturdy bag keeps everything organized and ready. Many event hosts buy[ personalized backpacks](https://www.successories.com/promotional-products/custom-bags/backpacks/) that participants actually use later, even when running errands. They hold essential gear, look good, and can feature quotes, art, or subtle company branding.

## 3. Reusable Bottles for Everyday Use

Long hours need steady hydration, and disposable cups never last. A durable, reusable bottle fits a developer’s workflow easily. Stainless steel or BPA-free plastic works best. Choose options with insulation, a wide mouth, and easy cleaning. The swag is practical, sustainable, and stays useful long after the hackathon wraps up.

## 4. Hoodies and Socks Worth Packing

Call it a stereotype, but there’s something about techies and a love for hoodies. They bring comfort during long coding hours and chilly event halls. High-quality fabric and clean stitching matter. Pair that with soft socks, and you give developers gear they actually wear beyond the hackathon weekend.

## 5. Cable Kits and Keycap Sets Developers Love

Few things slow coding more than missing cables or messy cords. A neat cable kit solves that instantly. Add braided cords, adapters, and magnetic ties for a pro feel. Custom keycap sets, meanwhile, bring personality to keyboards. They’re small gifts developers keep instead of leaving behind.

## 6. Notebooks that Actually Get Used

Everyone jots something down every once in a while, right? Quick ideas, sketches, or snippets of code still land best on paper. A sturdy notebook with thick pages and smooth binding feels good to use. Add minimalist branding or grid pages, and developers will keep it handy for months.

## 7. Privacy Covers for Security-Minded Hackers

Not everyone thinks about webcam security until someone brings it up. A simple privacy cover shows attention to detail and respect for digital safety. It speaks "[Happy Hackthoning](https://javascript.plainenglish.io/happy-hackathoning-dos-don-ts-d86307896ad0)". It slides smoothly, sticks well, and costs little. Give these out, and you might even attract participants who were hesitant to attend before.

## 8. Enamel Pins that Spark Conversation

Small details can say a lot about identity. Enamel pins let developers show off their humor, passion, or favorite language icon. Light and collectible, they’re easy to swap. Attach them to jackets or laptop sleeves, and they become tiny badges of community and shared experience.

## 9. NFC Cards for Smart Networking

Paper business cards feel dated in tech spaces. NFC cards replace them with a tap that instantly shares profiles or portfolios. They aren’t just sleek and durable, they’re easy to update digitally.

Plus, developers appreciate tools that make networking effortless. These cards often spark real conversations that continue after the event.

## Endnote

Thoughtful swag carries meaning long after an event ends. It builds connection, not clutter. For hackathons, the trick is to choose items that last, feel good to use, and tell your story every time they’re picked up.

<img src="https://cdn-images-1.medium.com/max/1600/1*W509g44tbDdjsMH1PW55zw.png" alt="">
Image: <a href="https://images.unsplash.com/photo-1631350397792-8e0c2de5b637?q=80&#x26;w=1170&#x26;auto=format&#x26;fit=crop&#x26;ixlib=rb-4.1.0&#x26;ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D">unsplash</a>
Hackathon prizes motivate developers and reward effort.
And when choosing prize items, thoughtful swag wins because it speaks your brand and stays useful long after the event ends. Portable gear makes travel easy. Sustainable materials connect with people who care about impact.
So, what kind of branded items do participants actually keep?
Keep reading for ideas that work.
<h2 id="1-power-banks-that-save-the-day">1. Power Banks that Save the Day</h2>
Developers rely on their devices nonstop during hackathons. Phones, tablets, and laptops drain fast under heavy use.
A compact power bank keeps the work going without hunting for outlets. Consider quick-charge ports, multiple outputs, and durable builds. Add a clean company logo, and it becomes both tool and keepsake.
<h2 id="2-customizable-laptop-backpacks-built-to-last">2. Customizable Laptop Backpacks Built to Last</h2>
Developers carry a lot, from laptops to chargers to snacks. A sturdy bag keeps everything organized and ready. Many event hosts buy<a href="https://www.successories.com/promotional-products/custom-bags/backpacks/"> personalized backpacks</a> that participants actually use later, even when running errands. They hold essential gear, look good, and can feature quotes, art, or subtle company branding.
<h2 id="3-reusable-bottles-for-everyday-use">3. Reusable Bottles for Everyday Use</h2>
Long hours need steady hydration, and disposable cups never last. A durable, reusable bottle fits a developer’s workflow easily. Stainless steel or BPA-free plastic works best. Choose options with insulation, a wide mouth, and easy cleaning. The swag is practical, sustainable, and stays useful long after the hackathon wraps up.
<h2 id="4-hoodies-and-socks-worth-packing">4. Hoodies and Socks Worth Packing</h2>
Call it a stereotype, but there’s something about techies and a love for hoodies. They bring comfort during long coding hours and chilly event halls. High-quality fabric and clean stitching matter. Pair that with soft socks, and you give developers gear they actually wear beyond the hackathon weekend.
<h2 id="5-cable-kits-and-keycap-sets-developers-love">5. Cable Kits and Keycap Sets Developers Love</h2>
Few things slow coding more than missing cables or messy cords. A neat cable kit solves that instantly. Add braided cords, adapters, and magnetic ties for a pro feel. Custom keycap sets, meanwhile, bring personality to keyboards. They’re small gifts developers keep instead of leaving behind.
<h2 id="6-notebooks-that-actually-get-used">6. Notebooks that Actually Get Used</h2>
Everyone jots something down every once in a while, right? Quick ideas, sketches, or snippets of code still land best on paper. A sturdy notebook with thick pages and smooth binding feels good to use. Add minimalist branding or grid pages, and developers will keep it handy for months.
<h2 id="7-privacy-covers-for-security-minded-hackers">7. Privacy Covers for Security-Minded Hackers</h2>
Not everyone thinks about webcam security until someone brings it up. A simple privacy cover shows attention to detail and respect for digital safety. It speaks "<a href="https://javascript.plainenglish.io/happy-hackathoning-dos-don-ts-d86307896ad0">Happy Hackthoning</a>". It slides smoothly, sticks well, and costs little. Give these out, and you might even attract participants who were hesitant to attend before.
<h2 id="8-enamel-pins-that-spark-conversation">8. Enamel Pins that Spark Conversation</h2>
Small details can say a lot about identity. Enamel pins let developers show off their humor, passion, or favorite language icon. Light and collectible, they’re easy to swap. Attach them to jackets or laptop sleeves, and they become tiny badges of community and shared experience.
<h2 id="9-nfc-cards-for-smart-networking">9. NFC Cards for Smart Networking</h2>
Paper business cards feel dated in tech spaces. NFC cards replace them with a tap that instantly shares profiles or portfolios. They aren’t just sleek and durable, they’re easy to update digitally.
Plus, developers appreciate tools that make networking effortless. These cards often spark real conversations that continue after the event.
<h2 id="endnote">Endnote</h2>
Thoughtful swag carries meaning long after an event ends. It builds connection, not clutter. For hackathons, the trick is to choose items that last, feel good to use, and tell your story every time they’re picked up.

Blog

Top 10 NPM Packages I Can’t Live Without

Top 11 JavaScript Coding Challenges to Ace Your Next Interview

9 Python Libraries That Will Make You Code Like the Top 1%

Top 10 Modern UI Component Libraries for React: A 2025 Guide

Top 10 Most Promising Businesses to Start in 2026

Stop Using These 5 Python Libraries in 2025

8 Python Tools That Stop Projects From Breaking

40+ Genius Ways to Make Money from AI with Gemini 2.0: A Comprehensive Guide

How to Send Desktop Notifications with Python

9 Hackathon Swag Ideas Developers Actually Keep

Main Menu

Follow Us

Blog

Top 10 NPM Packages I Can’t Live Without

Top 11 JavaScript Coding Challenges to Ace Your Next Interview

9 Python Libraries That Will Make You Code Like the Top 1%

Top 10 Modern UI Component Libraries for React: A 2025 Guide

Top 10 Most Promising Businesses to Start in 2026

Stop Using These 5 Python Libraries in 2025

8 Python Tools That Stop Projects From Breaking

40+ Genius Ways to Make Money from AI with Gemini 2.0: A Comprehensive Guide

How to Send Desktop Notifications with Python

9 Hackathon Swag Ideas Developers Actually Keep