tensorflow GitHub Commits Analytics

The TensorFlow organization has exhibited a remarkable trajectory of development activity throughout November 2025, showcasing significant engagement and robust code quality indicators. With a total of 1,027 commits to the main repository, the organization maintained an impressive average of 38 commits per day, reflecting a consistent pace of development.

Key metrics reveal a healthy balance in code activity tracking:

• Commit Message Size: The average commit message spans 290.8 characters, indicating a commitment to clarity and thorough documentation.
• Lines of Code: A total of 149,504 lines added versus 105,241 lines deleted results in a net increase of 44,263 lines, signifying a focus on feature development rather than maintenance.
• Added to Deleted Lines Ratio: The ratio stands at 1.42, emphasizing ongoing enhancements and project growth.

In terms of developer contribution trends, engagement has risen with an average of 0.29 commits per developer per day, up from 0.22. The lead contributor, ezhulenev, recorded 52 commits, averaging 1.9 commits per day, underscoring a high level of involvement.

Commit quality remains a focal point, with 6.4 files changed per commit and an average of 142.2 additions per commit, indicating meaningful contributions. The focus on detailed documentation is further evidenced by the substantial average size of commit messages.

Overall, TensorFlow's November 2025 metrics illustrate a thriving project characterized by quality contributions and strong developer engagement, making it a prime candidate for those interested in active open-source development.