Data / Repositories / Data science / Python
Python Data science repositories on GitHub: 8 ranked by stars
8 public Python repositories tagged Data science are on GitHub, with 82,710 stars between them; 5 had a push in the last 30 days. The most starred: gradio-app/gradio (43,685), PrefectHQ/prefect (24,019), zenml-io/zenml (5,616).
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Every repository, most starred first
| Repository | What it is | Stars | Forks | License | Last push | Read |
|---|---|---|---|---|---|---|
| gradio-app/gradio | Build and share delightful machine learning apps, all in Python. Star to support our work! | 43,685 | 3,619 | Apache-2.0 | Oct 8 | Oct 8 |
| PrefectHQ/prefect | Prefect is a workflow orchestration framework for building resilient data pipelines in Python. | 24,019 | 2,577 | Apache-2.0 | Oct 13 | Oct 14 |
| zenml-io/zenml | ZenML : One AI Platform from Pipelines to Agents. | 5,616 | 663 | Apache-2.0 | Oct 14 | Oct 14 |
| chdb-io/chdb | chDB is an in-process OLAP SQL Engine powered by ClickHouse | 2,916 | 136 | Apache-2.0 | Oct 9 | Oct 11 |
| chiphuyen/lazynlp | Library to scrape and clean web pages to create massive datasets. | 2,293 | 325 | Nov 11, 2020 | Sep 21 | |
| zi-yue-1129/DATAGEN | DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. | 1,809 | 254 | MIT | Oct 14 | Oct 14 |
| alan-turing-institute/CleverCSV | CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy… | 1,336 | 82 | MIT | Aug 10 | Sep 21 |
| JosephLai241/URS | Universal Reddit Scraper - A comprehensive Reddit scraping/archival command-line tool. | 1,036 | 126 | MIT | Jul 11 | Oct 11 |
Other languages
Related topics
- Python 10
- Data analysis 6
- Data visualization 5
- Machine learning 5
- AI 5
- Awesome list 4
- Deep learning 3
- Data 3
- Database 3
- Agents 3
- SQL 3
- Artificial intelligence 3
Read from GitHub by SpecStream between September 21, 2026 and October 14, 2026; each row shows the day its repository was read. Stars and pushes change every day, and the GitHub page is the current one. Forks and archived repositories are left out.