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This repo demonstrate basic methods to load big data into db via asyncpg / sqlalchemy / postgresql and etc + dask / pandas / fireducks (in future)

active 2025-02-172025-02-20 (UTC)

Complete coverage27,204 / 27,206 hourly files (100%) · 2 absent upstream2023-08-152026-09-21 (UTC)
Events
40
Pushes
6
Pull requests
14
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 4 days from 2025-02-17 to 2025-02-20. Pushes: 6 total, peak 3 in a day. Pull requests: 14 total, peak 6 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 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
DanLip02206140

Recent activity

Latest issues, pull requests and releases

  • Pull request#7DanLip022025-02-20 13:55
  • Pull request#7DanLip022025-02-20 13:55
  • Pull request#6DanLip022025-02-20 07:46
  • Pull request#6DanLip022025-02-20 07:45
  • Pull request#5DanLip022025-02-20 07:44
  • Pull request#5DanLip022025-02-20 07:44
  • Pull request#4DanLip022025-02-19 20:13
  • Pull request#4DanLip022025-02-19 20:13
  • Pull request#3DanLip022025-02-19 15:51
  • Pull request#3DanLip022025-02-19 15:48
  • Pull request#2DanLip022025-02-18 09:46
  • Pull request#2DanLip022025-02-18 09:46
  • Pull request#1DanLip022025-02-17 17:53
  • Pull request#1DanLip022025-02-17 17:53

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.