jakevdp/PythonDataScienceHandbook

Maintenance

Dormant

Human commits, 30 days

0

Human commits, 90 days

0

Human commits, 365 days

0

Bot share of commits, 365 days

0%

Last commit

May 5, 2023 (3 years ago)

Last human commit

May 5, 2023 (3 years ago)

Authors, 90 days

0

Last release

none found

Median PR merge time

3 days

Responsiveness: of 9 recent issues, 0% got a maintainer reply. Median first response: n/a.

• No human commits in 365 days, and most issues go unanswered.

Sources: Commits, Releases, Merged pull requests, Issues

People

Owner

Personal account

Commits sampled

100 since Dec 10, 2016

Authors for half of commits

1

Authors for 80% of commits

2

Contributors

15

Top committers

• jakevdp: 71% of commits
• fuglede: 11% of commits
• ncclementi: 3% of commits
• vfdev-5: 2% of commits
• aaronvanderlip: 1% of commits

• No human commits in the last 365 days, so shares use the newest 100 commits back to 2016-12-10T23:38:23Z.

Sources: Commits, Contributors

Stars

Organic, confidence high

Bursts

• Nov 17, 2016 to Nov 26, 2016: about 356 more stars than usual, peak 112 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Jan 7, 2017 to Jan 11, 2017: about 394 more stars than usual, peak 133 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Jan 27, 2017 to Feb 2, 2017: about 856 more stars than usual, peak 458 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• May 10, 2017 to May 11, 2017: about 69 more stars than usual, peak 46 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Aug 29, 2017 to Sep 2, 2017: about 405 more stars than usual, peak 218 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks, a jump in issues and pull requests.
• Mar 3, 2019 to Mar 10, 2019: about 1.7k more stars than usual, peak 606 in one day, a spike that tapers off. Outside explanation: a Hacker News post.
• Mar 28, 2019 to Mar 29, 2019: about 109 more stars than usual, peak 82 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Nov 1, 2020 to Nov 4, 2020: about 395 more stars than usual, peak 164 in one day, a shape we can't classify. No outside explanation found, so this burst is unexplained.
• May 17, 2021 to May 20, 2021: about 357 more stars than usual, peak 177 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Nov 9, 2021 to Nov 11, 2021: about 72 more stars than usual, peak 46 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
• Feb 1, 2022 to Feb 2, 2022: about 62 more stars than usual, peak 62 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Feb 23, 2022 to Mar 1, 2022: about 491 more stars than usual, peak 321 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
• Jul 11, 2024 to Jul 15, 2024: about 159 more stars than usual, peak 77 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Dec 2, 2025 to Dec 4, 2025: about 93 more stars than usual, peak 64 in one day, a spike that tapers off. Outside explanation: a Hacker News post.
• Apr 28, 2026 to May 7, 2026: about 497 more stars than usual, peak 173 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Jul 9, 2026 to Jul 11, 2026: about 201 more stars than usual, peak 102 in one day, a spike that tapers off. We couldn't check for an outside explanation.

• 3 stars GitHub has since removed (tracked since Oct 14, 2026).

Anyone can buy stars for any repo; bursts alone don't prove the owner did.

• The star history looks organic.

Sources: How star history is analyzed

Risk

Flags

• Info: The OpenSSF Scorecard for this project is 3 out of 10 (deps.dev). Details

License

Now

MIT (OSI-approved)

A year ago

Not known

Packages

No published packages found.

OpenSSF Scorecard: 3.0 out of 10 (via deps.dev).

Sources: GitHub: jakevdp/PythonDataScienceHandbook