exacity/deeplearningbook-chinese

Maintenance

Stable

Human commits, 30 days

0

Human commits, 90 days

0

Human commits, 365 days

0

Bot share of commits, 365 days

0%

Last commit

Nov 10, 2019 (6 years ago)

Last human commit

Nov 10, 2019 (6 years ago)

Authors, 90 days

0

Last release

Mar 15, 2017 (9 years ago)

Median PR merge time

12 hours

Responsiveness: of 1 recent issues, n/a got a maintainer reply. Median first response: n/a.

• Only 1 recent issues can be checked for a response, too few to measure response time.
• No human commits in 365 days. Issue responses do not show unmet demand.

Sources: Commits, Releases, Merged pull requests, Issues

People

Owner

Organization

Commits sampled

100 since May 4, 2017

Authors for half of commits

2

Authors for 80% of commits

4

Contributors

15

Top committers

• SwordYork: 42% of commits
• liber145: 30% of commits
• KevinLee1110: 5% of commits
• dangoron: 4% of commits
• zhoupeng: 4% of commits

• No human commits in the last 365 days, so shares use the newest 100 commits back to 2017-05-04T01:40:41Z.

Sources: Commits, Contributors

Stars

Organic, confidence medium

Bursts

• Mar 6, 2017 to Mar 9, 2017: about 117 more stars than usual, peak 67 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Apr 13, 2017 to Apr 27, 2017: about 1.9k more stars than usual, peak 437 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Jul 4, 2017 to Jul 7, 2017: about 430 more stars than usual, peak 209 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Jul 23, 2017 to Jul 30, 2017: about 518 more stars than usual, peak 180 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• Nov 2, 2017 to Nov 3, 2017: about 154 more stars than usual, peak 149 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
• May 14, 2018 to May 14, 2018: about 58 more stars than usual, peak 76 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Aug 15, 2018 to Aug 16, 2018: about 57 more stars than usual, peak 53 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Mar 25, 2019 to Mar 25, 2019: about 65 more stars than usual, peak 85 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Jan 24, 2024 to Jan 25, 2024: about 74 more stars than usual, peak 47 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Dec 8, 2025 to Dec 11, 2025: about 130 more stars than usual, peak 75 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Aug 25, 2026 to Aug 27, 2026: about 152 more stars than usual, peak 116 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Sep 24, 2026 to Sep 25, 2026: about 98 more stars than usual, peak 89 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Oct 3, 2026 to Oct 4, 2026: about 125 more stars than usual, peak 68 in one day, a spike that tapers off. We couldn't check for an outside explanation.

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

• The star history looks organic.
• Engagement is not compared for non-code or mirror repositories.

Sources: How star history is analyzed

Risk

Flags

• Warning: GitHub finds no license for this repository, so default copyright rules apply and no reuse is granted. Details
• Info: The OpenSSF Scorecard for this project is 1.4 out of 10 (deps.dev). Details

License

Now

No license found

A year ago

Not known

Packages

No published packages found.

OpenSSF Scorecard: 1.4 out of 10 (via deps.dev).

Sources: GitHub: exacity/deeplearningbook-chinese