7 Useful Python Libraries You Should Use in Your Next Project

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7 Useful Python Libraries You Should Use in Your Next Project

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Why write custom functionality when a library can do it for you? Libraries are the best friends and life saviors of developers. In my opinion, a good project makes use of some of the best libraries available.

This article is a part of a series on the awesome libraries for Python in which I always compiled a list of 7 Python libraries that will help you in your development journey.

1. pyenv

This is one of the most starred tools with more than 28k stars on GitHub. It lets you easily switch between multiple versions of Python. It’s simple, unobtrusive, and follows the UNIX tradition of single-purpose tools that do one thing well. It includes lots of features like changing the global Python version on a per-user basis, providing support for per-project Python versions, allowing you to override the Python version with an environment variable, and many more.

2. paramiko

If you want to use the SSHv2 protocol then this is a good resource for you. This is a pure Python (2.7, 3.4+) implementation of the SSHv2 protocol. It provides both client and server functionality. It also provides the foundation for the high-level SSH library Fabric, which is recommended to use for common client use cases such as running remote shell commands or transferring files. This library has more than 7.5k stars on GitHub.

3. Eel

If you want to create a simple GUI then this is a good resource for you. This is a library for making simple Electron-like offline HTML/JS GUI apps, with full access to Python capabilities and libraries. It is designed to take the hassle out of writing short and simple GUI applications. This library has more than 5k stars on GitHub.

4. prospector

This is a tool to analyze Python code and output information about errors, potential problems, convention violations, and complexity. It provides some default profiles, which hopefully will provide a good starting point and will be useful straight away, and adapts the output depending on the libraries your project uses. It has more than 1.5k stars on GitHub.

5. streamparse

This library lets you run Python code against real-time streams of data via Apache Storm. With this, you can create Storm bolts and spouts in Python without having to write a single line of Java. It also provides handy CLI utilities for managing Storm clusters and projects. this library has more than 1.5k stars on GitHub.

6. pyquery

If you are working with XML then this is a good resource for you. This library allows you to make jquery queries on XML documents. The API is as much as possible similar to jquery. It uses lxml for fast XML and HTML manipulation. This library has more than 2k stars on GitHub.

7. lightly

This is a python library for self-supervised learning on images. It includes features like a modular framework that exposes low-level building blocks such as loss functions, support for multi-GPU training using PyTorch Lightning, easy to use and written in a PyTorch-like style, and more. It has more than 1.5k stars on GitHub.

That’s all for today. I believe these libraries will help you a lot in your development journey.

If you know of any other beautiful Python libraries, please share them in the comments. Until we meet again…Cheers!

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