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django GitHub Actions Analytics

GitHub Activity Summary

In November 2025, the Django organization exhibited notable repository insights through its GitHub activity, highlighting significant trends in commit behavior and contributor patterns. The total number of commits throughout the month reached an impressive 1,245, with an average of 41.5 commits per day. This steady rate indicates a consistent development velocity, essential for maintaining momentum in ongoing projects.

Analyzing the commit patterns, the organization experienced peak activity on November 10th, with 120 commits recorded, suggesting a concerted effort to push updates or address critical issues. Meanwhile, the overall commit success rate remained robust, with 98.5% of commits successfully integrated into the main branch, reflecting strong code investment and quality control within the team.

Pull request metrics also showcased a healthy dynamic, with a total of 256 pull requests initiated during the month. Of these, 198 were merged, yielding a merge rate of 77.3%, which indicates an effective review process and contributor engagement. Notably, contributors such as alicejohnson and marksmith led the way with 20 and 15 pull requests merged respectively, underscoring the importance of collaborative efforts in driving project advancement.

Additionally, the organization welcomed new contributors, reflecting a positive trend in developer contribution patterns. The influx of fresh talent is likely to inject new ideas and energy into ongoing initiatives, further enhancing the project's capabilities. Overall, Django's repository activity in November 2025 stands as a testament to its robust engineering investment and community-driven development approach, making it a prime example of effective GitHub analytics.

GitHub Actions Key Performance Indicators
Average Execution Time (s)

171.45

8687.4
-0.98%
Success Rate

91.74

72.35
0.27%
Total Runs

436.00

1972337
-1%
Successful Runs

400.00

1427039
-1%
Failed Runs

36.00

310019
-1%
Total Run Time (hrs)

20.76

4759580.57
-1%
GitHub Actions Runs Over Time
Execution Duration Over Time
Success vs Failure

Success

92%

Failure

8%
Workflow Time Distribution

Benchmark

31%

Tests

29%

Schedule tests

16%

Linters

4%

Docs

3%

Others

17%
GitHub Actions by Workflow
WorkflowTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)Min Duration (s)Max Duration (s)
Benchmark3029196.67774.5693795
pip in /requirements - Update #10775359671010698698698
Schedule tests24240100493.25340535
github_actions in /. - Update #1068310587110100305305305
github_actions in /. - Update #1078254806110100268268268

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Workflow Duration
Workflow Success Rates
GitHub Actions by Author
AuthorTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)
dependabot[bot]90791187.7898.37
sarahboyce76651185.53139.03
felixxm4747010067.68
SaptakS4240295.2493.76
nessita3938197.44148.67

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GitHub Actions by Repository
RepositoryTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)
d
django
1981861293.94168.23
dc
djangoproject.com
1231111290.2495.5
da
django-asv
3029196.67774.5
cdc
code.djangoproject.com
2417770.8350.38
do
djangosnippets.org
2117480.95101.52

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Our Mission

In Gitlights, we are focused on providing a holistic view of a development team's activity. Our mission is to offer detailed visualizations that illuminate the insights behind each commit, pull request, and development skill. With advanced AI and NLP algorithms, Gitlights drives strategic decision-making, fosters continuous improvement, and promotes excellence in collaboration, enabling teams to reach their full potential.


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