pytorch GitHub Pull Requests Analytics

The PyTorch organization has showcased exceptional performance in its GitHub repositories during November 2025, with a total of 994 reviews and 1002 conversations. This dynamic activity illustrates the organization's commitment to maintaining a healthy open-source ecosystem, essential for sustainable development.

Among the significant metrics, the processing of 1,195 pull requests (PRs) stands out, with the executorch repository leading at 417 PRs, followed closely by the main pytorch repository with 409 PRs. This robust PR activity indicates a thriving contributor base and ongoing enhancements across projects. Each developer contributed an average of 0.15 PRs per day, alongside 0.24 reviews and 0.39 comments, reflecting strong developer engagement.

The average time to merge a PR is recorded at 9.51 hours, slightly higher than the previous month but still impressive within the open-source metrics landscape. Notably, a surge in PR submissions occurred mid-month, peaking at 105 PRs on November 11, which correlates with a high Relative Strength Index (RSI) of 89.23, indicating robust momentum in contributions.

The average number of conversations per PR is 1.5, highlighting active discussions that enhance code quality and foster collaborative problem-solving. The pytorch repository boasts an impressive 1.0 reviews per PR and a low 30-hour merge time, indicating efficient contribution processing.

In summary, PyTorch exemplifies a vibrant open-source community with significant developer contribution trends, rapid development cycles, and effective collaboration. These factors not only enhance its technical robustness but also position it as a premier destination for developers interested in impactful projects, making it a standout in the engineering investment analysis of the open-source machine learning domain.