Data / Repositories / Data science
Data science repositories on GitHub: 18 ranked by stars
18 public repositories tagged Data science are on GitHub, with 136,659 stars between them; 9 had a push in the last 30 days. Most are written in Python (8), Jupyter Notebook (2), Rust (1). The most starred: gradio-app/gradio (43,685), academic/awesome-datascience (30,131), PrefectHQ/prefect (24,019).
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Every repository, most starred first
| Repository | What it is | Language | Stars | Forks | License | Last push | Read |
|---|---|---|---|---|---|---|---|
| gradio-app/gradio | Build and share delightful machine learning apps, all in Python. Star to support our work! | Python | 43,685 | 3,619 | Apache-2.0 | Oct 8 | Oct 8 |
| academic/awesome-datascience | memo: An awesome Data Science repository to learn and apply for real world problems. | 30,131 | 6,662 | MIT | Oct 9 | Oct 11 | |
| PrefectHQ/prefect | Prefect is a workflow orchestration framework for building resilient data pipelines in Python. | Python | 24,019 | 2,577 | Apache-2.0 | Oct 13 | Oct 14 |
| oxnr/awesome-bigdata | A curated list of awesome big data frameworks, ressources and other awesomeness. | 14,668 | 2,579 | MIT | Jul 31 | Oct 11 | |
| zenml-io/zenml | ZenML : One AI Platform from Pipelines to Agents. | Python | 5,616 | 663 | Apache-2.0 | Oct 14 | Oct 14 |
| chdb-io/chdb | chDB is an in-process OLAP SQL Engine powered by ClickHouse | Python | 2,916 | 136 | Apache-2.0 | Oct 9 | Oct 11 |
| chiphuyen/lazynlp | Library to scrape and clean web pages to create massive datasets. | Python | 2,293 | 325 | Nov 11, 2020 | Sep 21 | |
| alexhallam/tv | (tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment. | Rust | 2,166 | 40 | MIT | Aug 21, 2025 | Oct 11 |
| PavelGrigoryevDS/awesome-data-analysis | 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts. | 2,070 | 299 | CC0-1.0 | Aug 9 | Oct 11 | |
| zi-yue-1129/DATAGEN | DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. | Python | 1,809 | 254 | MIT | Oct 14 | Oct 14 |
| fmind/mlops-python-package | Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise. | Jupyter Notebook | 1,419 | 199 | MIT | Oct 6 | Oct 11 |
| crazyhottommy/getting-started-with-genomics-tools-and-resources | Unix, R and python tools for genomics and data science | Shell | 1,404 | 361 | Aug 25, 2025 | Oct 11 | |
| 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… | Python | 1,336 | 82 | MIT | Aug 10 | Sep 21 |
| elixir-explorer/explorer | Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir | Elixir | 1,296 | 156 | MIT | Sep 28 | Oct 11 |
| JosephLai241/URS | Universal Reddit Scraper - A comprehensive Reddit scraping/archival command-line tool. | Python | 1,036 | 126 | MIT | Jul 11 | Oct 11 |
| mehmetkahya0/AI-Catalog | Huge AI models catalog. A curated list of AI tools, platforms, and resources across various domains. | HTML | 496 | 100 | GPL-3.0 | Oct 12 | Oct 14 |
| justmarkham/trump-lies | Tutorial: Web scraping in Python with Beautiful Soup | Jupyter Notebook | 246 | 214 | Nov 18, 2018 | Sep 21 | |
| aliyun/alibabacloud-dataworks-mcp-server | A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is… | TypeScript | 53 | 17 | Apache-2.0 | Jun 16 | Oct 14 |
By language
- Python 8
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.