pytorch GitHub Actions Analytics
GitHub Activity Summary
In November 2025, the PyTorch GitHub organization showcased a strikingly high overall success rate of 79.03%, with 14,359 successful runs out of 18,168 total runs. This remarkable performance not only underscores the reliability of their CI/CD processes but also highlights the project's commitment to high-quality development practices.
A closer look at the commit behavior reveals a notable surge in productivity, particularly on November 22, where successful action runs peaked at 1,025. This spike likely correlates with recent feature releases, reflecting a collaborative and dynamic development culture within the team.
The individual contributor patterns further affirm this collaborative spirit. Key contributors like clee2000 led the charge with 4,007 runs and a commendable success rate of 79.84%. Other contributors, such as suo and janeyx99, excelled even further with success rates of 86.07% and 87.44%, respectively. These metrics underscore a strong core team dedicated to maintaining high standards in their contributions.
However, the analysis also reveals challenges and opportunities for improvement. The presence of 3,698 failed runs indicates potential bottlenecks, particularly within the "trunk" workflow, which only achieved a success rate of 24.14%. Addressing these issues could enhance overall project efficiency.
In conclusion, PyTorch's November 2025 GitHub analytics highlight an active and engaged community, with impressive repository insights and a strong commitment to quality. These commit analysis metrics can serve as a valuable resource for developers looking to engage with or leverage PyTorch in their engineering endeavors.
Average Execution Time (s)
1,457.58
8662.69
-0.83%
Success Rate
61.72
72.35
-0.15%
Total Runs
69,948.60
1980364
-0.96%
Successful Runs
43,185.60
1432791
-0.97%
Failed Runs
19,304.60
311480
-0.94%
Total Run Time (hrs)
28,328.54
4765355.3
-0.99%
Success
Failure
pull
Run Regression Tests
trunk
Lint
Run 1xH100 Tests
Others
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