7 Must‑Know Open‑Source Python Projects Every Developer Should Explore

Hello everyone 👋🏼

In this article I will introduce seven Python‑written OSS repositories you should know, along with interesting projects that caught my attention.

1. Pandas

Pandas is a package that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both simple and intuitive. It aims to be the fundamental high‑level building block for practical, real‑world data analysis in Python 👾

https://pandas.pydata.org/

2. Apache Airflow

Apache Airflow is an excellent platform for programmatically writing, scheduling, and monitoring workflows.

When workflows are defined as code, they become easier to maintain, version‑control, test, and collaborate on 🥶

https://airflow.apache.org/

3. G4F

G4F is a powerful large language model command‑line interface (LLM‑CLI) whose mission is to decentralize and provide free access to advanced AI technology 🥸

https://github.com/xtekky/gpt4free

4. Scrapy

Scrapy is a BSD‑licensed fast and high‑level web crawling and scraping framework for extracting structured data from websites.

It can be used for many purposes, from data mining to monitoring and automated testing 🤗

https://github.com/scrapy/scrapy/releases

5. Ultroid

Ultroid is an advanced multi‑function Telegram UserBot built with Python using the Telethon library 🤖

https://github.com/TeamUltroid/Ultroid

6. Zulip

Zulip is an open‑source team collaboration tool with a unique topic‑based threading feature that combines the advantages of email and chat, making remote work efficient and enjoyable.

Zulip is the only modern team chat application designed specifically for both real‑time and asynchronous conversations 📱

https://github.com/zulip/zulip

7. Freqtrade

Freqtrade is a free, open‑source cryptocurrency trading bot.

It supports all major exchanges and can be controlled via Telegram or a Web UI. It includes backtesting, charting, and fund‑management tools, as well as strategy optimization through machine learning 🪙

https://github.com/freqtrade/freqtrade

Conclusion

This list presents seven open‑source projects worth checking out, whether you want to use them or contribute to them 🖖

Wishing you happy coding every day! ～✨