DataExpert-io/data-engineer-handbook

Maintenance

Steady

Human commits, 30 days

0

Human commits, 90 days

6

Human commits, 365 days

15

Bot share of commits, 365 days

0%

Last commit

Aug 3, 2026 (2 months ago)

Last human commit

Aug 3, 2026 (2 months ago)

Authors, 90 days

2

Last release

none found

Median PR merge time

4 days

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.

Sources: Commits, Releases, Merged pull requests, Issues

People

Owner

Organization

Commits sampled

15 since Oct 14, 2025

Authors for half of commits

1

Authors for 80% of commits

3

Contributors

131

Top committers

• EcZachly: 67% of commits
• analyticsdurgesh: 7% of commits
• djfrancesco: 7% of commits
• shweta-016: 7% of commits
• sidddmalik: 7% of commits

Sources: Commits, Contributors

Stars

Mostly organic, confidence high

Bursts

• Feb 9, 2024 to Feb 17, 2024: about 700 more stars than usual, peak 292 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Mar 13, 2024 to Mar 28, 2024: about 1k more stars than usual, peak 167 in one day, a shape we can't classify. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Apr 1, 2024 to Apr 4, 2024: about 340 more stars than usual, peak 164 in one day, a spike that tapers off. Outside explanation: a jump in forks.
• May 22, 2024 to May 31, 2024: about 645 more stars than usual, peak 195 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
• Nov 5, 2024 to Dec 9, 2024: about 11.2k more stars than usual, peak 1.7k 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.
• Jan 22, 2025 to Jan 27, 2025: about 968 more stars than usual, peak 282 in one day, a shape we can't classify. No outside explanation found, so this burst is unexplained.
• May 20, 2025 to May 21, 2025: about 180 more stars than usual, peak 164 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Jun 1, 2025 to Jun 5, 2025: about 756 more stars than usual, peak 263 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
• Jun 9, 2025 to Jun 16, 2025: about 351 more stars than usual, peak 90 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
• Jun 18, 2025 to Jun 29, 2025: about 4.2k more stars than usual, peak 1.6k in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
• Aug 17, 2025 to Aug 21, 2025: about 772 more stars than usual, peak 323 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
• Sep 14, 2025 to Sep 15, 2025: about 68 more stars than usual, peak 63 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Feb 5, 2026 to Feb 7, 2026: about 364 more stars than usual, peak 245 in one day, a spike that tapers off. We couldn't check for an outside explanation.
• Jun 24, 2026 to Jun 26, 2026: about 197 more stars than usual, peak 84 in one day, a flat block of stars. No outside explanation found, so this burst is unexplained.
• Jul 28, 2026 to Aug 11, 2026: about 1.1k more stars than usual, peak 159 in one day, a shape we can't classify. Outside explanation: a jump in issues and pull requests.

• 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.

• 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.

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

License

Now

No license found

A year ago

Not known

Packages

No published packages found.

Sources: GitHub: DataExpert-io/data-engineer-handbook