pcottle/learnGitBranching

Maintenance

Active

Human commits, 30 days

75

Human commits, 90 days

211

Human commits, 365 days

360

Bot share of commits, 365 days

10%

Last commit

Oct 13, 2026 (1 day ago)

Last human commit

Oct 13, 2026 (1 day ago)

Authors, 90 days

28

Last release

none found

Median PR merge time

2 hours

Responsiveness: of 15 recent issues, 80% got a maintainer reply. Median first response: 5 hours.

Sources: Commits, Releases, Merged pull requests, Issues

People

Owner

Personal account

Commits sampled

360 since Oct 14, 2025

Authors for half of commits

1

Authors for 80% of commits

9

Contributors

341

Top committers

• pcottle: 51% of commits
• AntonioABLima: 10% of commits
• Peter Cottle: 5% of commits
• ranjithrajv: 4% of commits
• haloneko: 3% of commits

Sources: Commits, Contributors

Stars

Mostly organic, confidence high

Bursts

• May 21, 2013 to May 23, 2013: about 192 more stars than usual, peak 161 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.
• Jun 25, 2013 to Jun 28, 2013: about 117 more stars than usual, peak 83 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 22, 2013 to Sep 23, 2013: about 32 more stars than usual, peak 18 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Feb 28, 2015 to Mar 1, 2015: about 40 more stars than usual, peak 25 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Nov 22, 2018 to Dec 18, 2018: about 3.3k more stars than usual, peak 533 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
• Jan 15, 2019 to Jan 17, 2019: about 159 more stars than usual, peak 127 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Apr 22, 2020 to May 8, 2020: about 1.5k more stars than usual, peak 281 in one day, a shape we can't classify. Outside explanation: a jump in issues and pull requests.
• Apr 24, 2021 to Apr 28, 2021: about 135 more stars than usual, peak 68 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
• Nov 23, 2021 to Nov 25, 2021: about 56 more stars than usual, peak 40 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Mar 8, 2022 to Mar 11, 2022: about 248 more stars than usual, peak 195 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
• Dec 5, 2022 to Dec 8, 2022: about 92 more stars than usual, peak 51 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
• Jun 7, 2023 to Jun 9, 2023: about 125 more stars than usual, peak 77 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• May 19, 2025 to May 20, 2025: about 60 more stars than usual, peak 36 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
• Jul 1, 2025 to Jul 4, 2025: about 154 more stars than usual, peak 87 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
• May 31, 2026 to Jun 2, 2026: about 61 more stars than usual, peak 40 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.

• 2 stars on a repo created before February 2013 have no date, so they aren't in the chart.
• 2 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.

• Some star bursts have no matching forks, issues, releases, or launch coverage.
• Anyone can buy stars for any repo, so this describes the star history only.
• 2 stars on the creation day are undated (before 2013-02-10) and are not counted.

Sources: How star history is analyzed

Risk

Flags

No risk flags.

License

Now

MIT (OSI-approved)

A year ago

MIT (OSI-approved)

Packages

No published packages found.

OpenSSF Scorecard: 4.7 out of 10 (via deps.dev).

Sources: GitHub: pcottle/learnGitBranching