Github
19 posts
Using survival analysis and git-pandas to estimate code quality
Apply survival analysis with git-pandas to measure code quality in Git repositories by analyzing code longevity and contributor patterns over time.
Git-pandas v1.0.0, or how to check for a stable release
Explore git-pandas v1.0.0, focusing on interface consistency, parameter naming, and API simplification for improved data analysis workflows.
Github.com cumulative blame in 5 lines of python
Visualize your GitHub repository growth over time using the git-pandas Python library and GitHubProfile class-all in just a few lines of code.
Data-driven engineering team management with gitnoc and git-pandas
Leverage git-pandas and gitnoc for data-driven engineering management. Visualize git data for insights on bus factor, risk, project growth, and team oversight.
Create organization-wide punchcards with git-pandas
Learn how git-pandas enables creating organization-wide punchcard visualizations, aggregating commit activity across multiple repositories for a unified view.
Gitpandas v0.0.6: python 2.7, fileowners, file-wise blame and examples
Overview of git-pandas v0.0.6 release, highlighting new features like Python 2.7 support, file-wise blame, file owner determination, and other improvements.
Git-Pandas v0.0.5: coverage.py, risk, and more
Git-pandas v0.0.5 is out! Adds coverage.py support, file change rate metrics for risk analysis, API updates, time-based filtering for commits.
Analyzing GitPython and Pandas With GitPandas
Analyze GitPython and Pandas repositories with git-pandas! Explore LOC, contributors, and bus factor using this Python library for git analysis.
Blame the world with git-pandas
Introducing git-pandas, a Python library offering a pandas interface for git analysis. Easily aggregate git blame across projects.