Stars and mentions
Last 30 days, Oct 4 – Nov 2
Package downloads
Top repositories
jakevdp’s repositories ranked by new stars, as on trending.
Contributes to
Repositories outside jakevdp’s account where jakevdp opened or reviewed pull requests in the past 365 days.
Who noticed jakevdp
Everyone who starred or forked jakevdp’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
- Gold
- 11st place finishes
- Silver
- 02nd place finishes
- Bronze
- 13rd place finishes
- Awarded repositories
- 1Owned by jakevdp now
Repositories
Ordered by gold, then silver, then bronze.
- PythonDataScienceHandbookBest: 1st by stars, 919 stars101
Every award
Top-three finishes of these repositories in completed trending days and weeks, newest first.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
One GitHub repo. An entire Python Data Science handbook. Completely free!🤯 With 50K+ stars, this project covers NumPy, Pandas, Matplotlib, Scikit-Learn, and more through interactive Jupyter Notebooks. Book: jakevdp.github.io GitHub: jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks (50k stars) What it does All text below is quoted directly from the project README. >Python Data Science Handbook: full text in Jupyter Notebooks How to Use this Book: - This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks. - Read the book in its entirety online at jakevdp.github.io - Run the code using the Jupyter notebooks available in this repository's notebooks directory. - Launch executable versions of these notebooks using Google Colab - Launch a live notebook server with these notebooks using binder - Buy the printed book through O'Reilly Media - The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. >$ conda install --file requirements.txt Repository jakevdp/PythonDataScienceHandbook Repository stats |Metric|Value| |:-|:-| |Stars|50,254| |Forks|19.2k| |Last release|None| |Languages|Jupyter Notebook 99.9%, Other 0.1%| |Contributors|15| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|None| |AI co-authored commits|None| Main contributor |Field|Value| |:-|:-| |Name|Jake Vanderplas| |GitHub|@jakevdp| |Commits to this repo|178 (top contributor)| |Bio|Python ML Data Science| |Company / Location|Google / Oakland CA| |Followers|19.9k| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.