atian25/egg-gitstats — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2017-11-30
Generate an HTML report showing monthly commit activity for a git repository.
Identify the most active contributors to a codebase.
Present project growth and health metrics to stakeholders.
Explore development trends through interactive charts in a browser.
| atian25/egg-gitstats | a-bissell/unleash-lite | abhiinnovates/whatsapp-hr-assistant | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | Python | Python | Python |
| Last pushed | 2017-11-30 | — | — |
| Maintenance | Dormant | — | — |
| Setup difficulty | moderate | hard | hard |
| Complexity | 2/5 | 4/5 | 3/5 |
| Audience | developer | researcher | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires legacy Python 2 and Gnuplot installed locally to generate the report.
This project generates visual statistics and reports about the commit history of the Egg web framework project. It takes the raw git log data from the Egg repository and transforms it into charts, graphs, and summaries that show things like how many commits were made each month, who the most active contributors are, and how the codebase has grown over time. The tool works by running an open-source program called Gitstats on a local copy of the Egg project's code repository. Gitstats analyzes the git history (the complete record of all changes made to the code) and creates an HTML report with interactive charts and statistics. Once generated, you can open this report in a web browser to explore trends in the project's development. Someone maintaining or studying the Egg project might use this to understand team activity patterns, identify key contributors, or present project health metrics to stakeholders. For instance, if you wanted to show how active the Egg development has been over the past year, or which developers have contributed the most code, this tool would create those visualizations automatically without manual analysis. The setup is fairly straightforward, you install a couple of dependencies (Python 2 and Gnuplot, a graphing tool), point the script at your local copy of the Egg repository, and it generates a folder of HTML and image files that form a complete statistical report.
Generates HTML charts and stats about the Egg web framework's commit history, showing contributor activity and codebase growth over time.
Mainly Python. The stack also includes Python, Gitstats, Gnuplot.
Dormant — no commits in 2+ years (last push 2017-11-30).
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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