Dataviz
7 posts
When do I work on what?
Use git-pandas to analyze and visualize work patterns across open source vs. closed source projects. Compare commit times with punchcard plots. Learn the code.
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.
Visualize all of your git repositories with gitnoc and git-pandas
Visualize git repositories at scale using GitNOC & git-pandas. Create profiles to analyze cumulative blame & file change rates across multiple projects.
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.