Git-fired tells you who was fired / added based on Git log
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Git-fired tells you who was fired / added based on Git log launched on June 6, 2021 with 40 votes, #1,189 of 3,650 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.
In plain words
Git-fired analyzes Git commit history to identify which team members were added or removed from a project based on their contributions. It scans Git logs and generates a report showing developer activity changes over time. The tool is designed for developers and project managers who want to track team composition changes through version control data. It works directly with GitHub repositories.
written from the facts on this page · September 2026
Does a similar job
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Quickly browse the history of a file from GitHub, GitLab, Bitbucket or any git repository
"Git who" – A new CLI tool for industrial-scale Git blaming2025 · github.com · ▲252I've always wanted a better way to explore the authorship data embedded in a Git commit log. I'm having fun building a CLI tool to do this. It's a bit like the "Contributors" tab on Github that shows you how many commits each contributor has made but much faster and with many more options. If you get a chance to try it out, please let me know. I'd love to hear feedback and suggestions. Thank you!

Gitlogue – A terminal tool that replays your Git commits with animationNov 2025 · github.com · ▲159Gitlogue is a CLI that turns your Git commits into a typing-style replay. It visualizes diffs line by line, shows the file tree, and plays back each edit as if it were typed in real time. Key points • Realistic typing animation • Syntax-highlighted diffs • File-tree view • Replay any commit • Self-contained CLI Demo video is in the README. Repo: https://github.com/unhappychoice/gitlogue
- TYTrack your Git commit statistics2011 · hulkort.herokuapp.com · ▲18
git-history, for analyzing scraped data collected using Git and SQLite2021 · simonwillison.net · ▲108I described Git scraping last year: a technique for writing scrapers where you periodically snapshot a source of data to a Git repository in order to record changes to that …
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