This Python tool takes the log files generated from a system and converts it into csv format for better readability and data manipulation. If the date and time column are merged into 2 column, this tool separates them into two different columns, allowing for quicker data visualisation instead of spending time in cleaning the data.
active 2023-12-15 → 2023-12-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-12-15 to 2023-12-15. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.