CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

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

Feb 14, 2023 (3 years ago)

Last human commit

Feb 14, 2023 (3 years ago)

Authors, 90 days

0

Last release

none found

Median PR merge time

18 hours

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

• Only 0 recent issues can be checked for a response, too few to measure response time.
• 46 pull requests are open and nobody has committed in a year.

Sources: Commits, Releases, Merged pull requests, Issues

People

Owner

Personal account

Commits sampled

100 since Nov 28, 2018

Authors for half of commits

2

Authors for 80% of commits

7

Contributors

136

Top committers

• CamDavidsonPilon: 38% of commits
• Mike Shwe: 15% of commits
• miemiekurisu: 14% of commits
• matthew-mcateer: 6% of commits
• hsm207: 3% of commits

• No human commits in the last 365 days, so shares use the newest 100 commits back to 2018-11-28T03:47:13Z.

Sources: Commits, Contributors

Stars

Organic, confidence high

Bursts

• Jun 3, 2013 to Jun 15, 2013: about 1.8k more stars than usual, peak 1.1k in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks.
• Jul 25, 2013 to Jul 30, 2013: about 265 more stars than usual, peak 166 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.
• Sep 9, 2013 to Sep 10, 2013: about 118 more stars than usual, peak 95 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks.
• Feb 25, 2014 to Feb 27, 2014: about 53 more stars than usual, peak 37 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Jul 8, 2014 to Jul 11, 2014: about 99 more stars than usual, peak 45 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Jul 18, 2014 to Jul 24, 2014: about 128 more stars than usual, peak 41 in one day, a shape we can't classify. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Mar 11, 2015 to Mar 13, 2015: about 242 more stars than usual, peak 146 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks.
• Aug 21, 2016 to Aug 23, 2016: about 80 more stars than usual, peak 60 in one day, a spike that tapers off. Outside explanation: a Hacker News post, a jump in forks.
• Feb 28, 2018 to Feb 28, 2018: about 94 more stars than usual, peak 103 in one day, a spike that tapers off. Outside explanation: a Hacker News post.
• Jun 30, 2019 to Jul 3, 2019: about 177 more stars than usual, peak 77 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
• Jul 18, 2019 to Jul 19, 2019: about 60 more stars than usual, peak 45 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
• Jan 12, 2020 to Jan 17, 2020: about 316 more stars than usual, peak 149 in one day, a spike that tapers off. Outside explanation: a Hacker News post.
• Mar 5, 2020 to Mar 9, 2020: about 111 more stars than usual, peak 44 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Apr 6, 2020 to Apr 6, 2020: about 62 more stars than usual, peak 68 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
• Jun 22, 2021 to Jun 24, 2021: about 54 more stars than usual, peak 38 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Jan 3, 2025 to Jan 8, 2025: about 182 more stars than usual, peak 83 in one day, a spike that tapers off. We couldn't check for an outside explanation.

• 52 stars on a repo created before February 2013 have no date, so they aren't in the chart.

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

• The star history looks organic.
• 52 stars on the creation day are undated (before 2013-02-10) and are not counted.

Sources: How star history is analyzed

Risk

Flags

• Info: The OpenSSF Scorecard for this project is 3.2 out of 10 (deps.dev). Details

License

Now

MIT (OSI-approved)

A year ago

MIT (OSI-approved)

Packages

No published packages found.

OpenSSF Scorecard: 3.2 out of 10 (via deps.dev).

Sources: GitHub: CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers