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SQL databases in Python, designed for simplicity, compatibility, and robustness.

active 2023-08-15 → 2024-06-20 (UTC)

Complete coverage27,373 / 27,373 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-28 (UTC)
Events
59
Pushes
10
Pull requests
18
Issues
0
Stars
1
Forks
22

Activity over time

Daily event counts in the loaded window

Line chart, 311 days from 2023-08-15 to 2024-06-20. Pushes: 10 total, peak 2 in a day. Pull requests: 18 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 4 total, peak 1 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
AntonDeMeester191041
regulad2020
chipxsd2020
tkbaca2011
nazmi2020
mbsantiago2002
lawrenceeldridge2020
blakewatters2020
kleschenko2020
Trevypants1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#6chipxsd2024-05-24 23:05
  • Pull request#10blakewatters2024-04-22 21:16
  • Pull request#10blakewatters2024-04-22 21:16
  • Pull request#7regulad2023-12-13 22:39
  • Pull request#9nazmi2023-12-04 10:39
  • Pull request#9nazmi2023-12-03 21:55
  • Pull request#8lawrenceeldridge2023-11-25 11:16
  • Pull request#8lawrenceeldridge2023-11-25 10:47
  • Pull request#7regulad2023-11-23 17:31
  • Pull request#3AntonDeMeester2023-11-08 10:02
  • Pull request#5AntonDeMeester2023-11-08 10:01
  • Pull request#6chipxsd2023-10-30 18:37
  • Pull request#5Trevypants2023-10-13 10:10
  • Pull request#4AntonDeMeester2023-10-12 07:16
  • Issue comment#4tkbaca2023-10-11 04:06
  • Pull request#4tkbaca2023-10-11 04:05
  • Pull request#3kleschenko2023-09-28 07:48
  • Pull request#2kleschenko2023-09-22 08:12
  • Pull request#1AntonDeMeester2023-09-18 17:19
  • Issue comment#1AntonDeMeester2023-08-26 07:16
  • Issue comment#1mbsantiago2023-08-25 16:14
  • Issue comment#1mbsantiago2023-08-16 12:59

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.