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eddayyy/WeatherFul-Bot

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Weatherful Bot is a Python-based automated system that tweets real-time weather updates for specific cities every hour.

active 2023-09-20 → 2024-06-02 (UTC)

Complete coverage27,212 / 27,214 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-21 (UTC)
Events
107
Pushes
74
Pull requests
26
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 257 days from 2023-09-20 to 2024-06-02. Pushes: 74 total, peak 20 in a day. Pull requests: 26 total, peak 8 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
eddayyy10074260

Recent activity

Latest issues, pull requests and releases

  • Pull request#13eddayyy2023-10-14 00:26
  • Pull request#13eddayyy2023-10-14 00:26
  • Pull request#12eddayyy2023-10-10 00:14
  • Pull request#12eddayyy2023-10-10 00:14
  • Pull request#11eddayyy2023-10-05 07:00
  • Pull request#11eddayyy2023-10-05 06:59
  • Pull request#10eddayyy2023-10-05 06:37
  • Pull request#10eddayyy2023-10-05 06:37
  • Releasev1.0.0eddayyy2023-10-04 09:31
    Initial Release
  • Pull request#9eddayyy2023-10-04 09:10
  • Pull request#9eddayyy2023-10-04 09:10
  • Pull request#8eddayyy2023-10-04 08:49
  • Pull request#8eddayyy2023-10-04 08:48
  • Pull request#7eddayyy2023-10-04 08:46
  • Pull request#7eddayyy2023-10-04 08:46
  • Pull request#6eddayyy2023-10-04 07:04
  • Pull request#6eddayyy2023-10-04 07:04
  • Pull request#5eddayyy2023-10-03 15:51
  • Pull request#5eddayyy2023-10-03 15:51
  • Pull request#4eddayyy2023-10-03 15:47
  • Pull request#4eddayyy2023-10-03 15:47
  • Pull request#3eddayyy2023-10-03 00:04
  • Pull request#3eddayyy2023-10-03 00:04
  • Pull request#2eddayyy2023-10-02 22:28
  • Pull request#2eddayyy2023-10-02 22:28

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.