DEV Community

Cover image for Python libraries you need to know in 2024
Marine for Taipy

Posted on

Python libraries you need to know in 2024


Are you getting into Python? It’s a jungle!
You have libraries just about anything you can think about - from creating games to building web applications.

With this list, get a quick idea of 50 standard Python libraries and what they do whether you’re just getting started or looking to deepen your Python game.


1. Taipy

Taipy has been designed to expedite application development, from initial prototypes to production-ready applications.
This open-source Python library is designed for easy development for both front-end (GUI) and ML/Data pipelines.
It is low code and designed for any pythonista.


Star ⭐ the Taipy repository

Your support means a lot🌱, and helps us in many ways, like writing articles! 🙏

2. NumPy

Essential for numerical computations, supporting large, multi-dimensional arrays and matrices. This library is part of Python royalty.

Star ⭐ the Numpy repository

3. Pandas

A cornerstone for data manipulation and analysis, offering intuitive data structures and operations for manipulating numerical tables and time series. Another Python indispensable library, a must-know library.

Star ⭐ the Pandas repository

4. Matplotlib

A versatile tool for creating a wide range of static, minimal, and interactive visualizations. A lot of parameters to play with, this library is very useful when plotting ML and AI graphs.

Star ⭐ the Matplotlib repository

5. SciPy

Specialized in technical and scientific computing, with Scipy you can do optimization, integration, interpolation, and more.

Star ⭐ the SciPy repository

6. Scikit-learn

A go-to library for machine learning, providing a wide range of supervised and unsupervised learning algorithms. The only library you should know when starting with Machine Learning.

Star ⭐ the Scikit-learn repository

7. TensorFlow

A comprehensive framework for machine learning offers various tools, libraries, and community resources. THe learning curve might be a little steep, but TF is important to know in the Python and ML landscape.

Star ⭐ the TensorFlow repository

8. PyTorch

Favored for both academic research and production due to its flexibility, offering dynamic neural network creation and manipulation.

Star ⭐ the PyTorch repository

9. Keras

A high-level API for building and training deep learning models, designed to facilitate building and working with neural networks.

Star ⭐ the Keras repository

10. Requests

Simplifies the process of making HTTP requests, making web scraping and API consumption more accessible.

Star ⭐ the Requests repository

11. Beautiful Soup

A tool for web scraping that facilitates data extraction from HTML and XML files.

Star ⭐ the Beautiful Soup repository

12. Flask

A lightweight and extensible web framework, making it ideal for building small to medium web applications.

Star ⭐ the Flask repository

13. Django

Designed for rapid development and clean, pragmatic design, this high-level framework.

Star ⭐ the Django repository

14. Selenium

This library automates web browsers, enabling the simulation of actual user actions for testing web applications.

Star ⭐ the Selenium repository

15. Pygame

Provides Python modules for writing video games, including graphical and sound libraries.

Star ⭐ the Pygame repository

16. Pillow (PIL Fork)

Extends Python Imaging Library capabilities, supporting various image file formats.

Star ⭐ the Pillow repository

17. SQLAlchemy

This library offers a full suite of tools for working with databases through Python, providing a robust ORM layer and SQL expression language.

Star ⭐ the SQLAlchemy repository

18. PySpark

As you can tell from the name, this library brings the power of Apache Spark to Python, facilitating big data processing and analysis with a Pythonic approach.

Star ⭐ the PySpark repository

19. Dash

Enables the creation of analytical web applications directly in Python without requiring deep knowledge of web development.

Star ⭐ the Dash repository

20. Plotly

Specializes in creating interactive and visually appealing graphs and charts suitable for web and mobile applications.

Star ⭐ the Plotly repository

21. Nltk

This library makes natural language processing accessible and easy to use.

Star ⭐ the Nltk repository

22. SpaCy

Offers industrial-strength natural language processing capabilities with pre-trained models for many languages.

Star ⭐ the SpaCy repository

23. Gensim

Focused on unsupervised topic modeling and natural language processing, you can use this library to analyze document similarity.

Star ⭐ the Gensim repository

24. PyTest

A robust framework for writing small to complex functional tests, enhancing test readability and maintainability.

Star ⭐ the PyTest repository

25. unittest

The built-in framework for constructing and running tests mirroring the xUnit architecture found in other languages.

Unitest is built-in.

26. Fabric

Simplifies SSH for application deployment or system administration tasks, automating remote shell commands.

Star ⭐ the Fabric repository

27. Vizzu

Aimed at animated data visualizations and storytelling, Vizzu is the go-to library to create dynamic and interactive charts.

Star ⭐ the Vizzu repository

28. Polars

A DataFrame library optimized for performance and efficiency, capable of easily handling large datasets.

Star ⭐ the Polars repository

29. Docker-Py

Provides Pythonic access to the Docker Remote API, enabling automation of Docker container management.

Star ⭐ the Docker-Py repository

30. OpenCV

A staple in computer vision and image processing, offering a comprehensive suite of algorithms and tools.

Star ⭐ the OpenCV repository

31. Scikit-image

Dedicated to image processing, it extends the capabilities of SciPy and NumPy to the visual landscape.

Star ⭐ the Scikit-image repository

32. SymPy

This library is made for your symbolic computation, offering features ranging from algebraic solving to calculus.

Star ⭐ the SymPy repository

33. Virtualenv

Essential for creating isolated Python environments and managing project dependencies cleanly.

Star ⭐ the Virtualenv repository

34. Click

Streamlines the creation of command-line interfaces, promoting code that is both composable and easy to extend.

Star ⭐ the Click repository

35. Argparse

Facilitates the parsing of command-line arguments, which is essential for CLI application development.

Argparse is built-in.

36. Logging

Offers a flexible logging system, from simple logging to complex per-module configurations.

Logging is built-in.

37. PyYAML

Handles YAML files, supporting serialization and deserialization of Python objects to and from YAML.

Star ⭐ the PyYAML repository

38. xlrd/xlwt

Ideal for reading and writing Excel files, bridging the gap between Python and Excel documents.

Star ⭐ the xlrd repository
Star ⭐ the xlwt repository

39. Pandas-Profiling

Generates comprehensive profile reports from pandas

Star ⭐ the Pandas-Profiling repository

40. TQDM

Tqdm is a wrapper to any loop that will track the advancement with a progress bar.

Star ⭐ the TQDM repository

41. Faker

Need fake data that looks real? Faker's got your back.

Star ⭐ the Faker repository

42. Flake8

A must-need library to keep your code cleaner with easily to implement style checks.

Star ⭐ the Flake8 repository

43. Black

Bring your code formatting to the next level.

Star ⭐ the Black repository

44. Mypy

It's like having a grammar teacher for your code but for types.

Star ⭐ the Mypy repository

45. Pydantic

The library you need to validate your Python scripts.

Star ⭐ the Pydantic repository

46. FastAPI

FastAPI is a web framework for building RESTful APIs.

Star ⭐ the FastAPI repository

47. Catboost

Gives your machine-learning models ways to handle categorical data.

Star ⭐ the Catboost repository

48. Seaborn

Making elevated data visualization.

Star ⭐ the Seaborn repository

49. Turtle

Brings programming to life with cool graphics and animations. A great way to learn and get started with Python.

Turtle is built-in.

50. Asciimatics

Asciimatics is a library that allows you to create full-screen text UIs.

Star ⭐ the Asciimatics repository

Final thoughts

And there you have it!
A sneak peek in the Python jungle! Knowing most of these libraries sets you up to tackle any project! So get at it, Pythonista!

Top comments (17)

johndzialo profile image
John Dzialo

Great List!

I would add Streamlit as well. Especially for Data Science teams playing with AGI and LLMs and need an easy web framework to test out chatbots, text/image generation.

marisogo profile image

I tried to put libraries adressing different functions, but yes, Streamlit is defintely a staple for easy frameworks!

aleajactaest78 profile image

I love Vizzu! I came for the list of great packages; I stayed for the little snake and Dune reference in the GIFs. Could you write an article on the new libraries to know?

marisogo profile image

Hahaha I saw Dune this weekend had to make a GIF about it!
Definitely, will do!

jrobinav profile image

Nice one!

dhirajpatra profile image
Dhiraj Patra

You miss FastAPI, without it async processes, especially microservices would be as tough as the old days.

marisogo profile image

I put FastAPI at place 46!

wadigzon profile image

very good!, Thanks!

devanghingu profile image
Devang Hingu

covered many packages 👏

rendermangl profile image

Nice list!
A lot of these have been king for years!!
Love to see that!

marisogo profile image

That's very true, hard to dethrone!

iamdbro profile image
Darren Broderick (DBro)

Great list!

covetous profile image
Niklas Asp

Also considering ruff.

An extremely fast Python linter and code formatter, written in Rust.

sucodelarangela profile image
Angela Caldas

@morgannadev dá uma olhada nesse artigo

morgannadev profile image

@sucodelarangela adorei, muito obrigada!!!

stankukucka profile image
Stan Kukučka

@marisogo "Beautiful Soup" is ok for the start. Worth to mention is Scrapy

marisogo profile image

Noted! I tried to mix up the libraries, definitely keep Scrapy in mind!