pandas-dev GitHub Actions Analytics

The pandas-dev organization on GitHub exhibited notable activity during September 2025, showcasing significant engagement in repository management and development processes. The organization recorded a total of 1,863 GitHub Actions runs, with a success rate of approximately 42.62%. This indicates a consistent effort in maintaining and improving the codebase, despite a slight decline in successful runs compared to previous months.

Commit behavior reflected a strong focus on testing and code quality, with unit tests accounting for 54.19% of workflow execution time. The average execution time for workflows was 532.23 seconds, with the longest workflows being unit tests, which averaged over 3,500 seconds. This data underlines the organization's commitment to thorough testing, although it also highlights areas for optimization in workflow durations.

Contributor patterns revealed that key contributors, such as mroeschke and jorisvandenbossche, were instrumental in driving the success of the organization’s workflows. The success rate for individual contributors varied, with some achieving rates above 60%, while others faced challenges with lower success rates.

In terms of pull request dynamics, the organization maintained a steady flow of contributions, reflecting an active development culture. This aligns with broader developer contribution trends observed within open-source communities, emphasizing the importance of collaborative efforts in software development.

Overall, the pandas-dev organization exemplifies a strong commitment to quality and collaboration in its GitHub analytics, making it a valuable case study for engineering investment analysis and best practices in open-source development.