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django GitHub Actions Analytics

GitHub Activity Summary

In January 2026, the Django GitHub organization showcased impressive open source metrics, achieving a remarkable success rate of 79.52% across 586 total action runs. With 466 successful runs and only 23 failures, this highlights a robust CI/CD pipeline that underscores the organization’s dedication to project stability and reliability.

The dynamics of pull requests (PRs) and code review culture within the Django organization are pivotal to its success. The ratio of successful to failed runs stands at an outstanding 95.3%, which is critical for maintaining developer trust and ensuring quality code delivery. This consistency is reflected in the organization’s commitment to thorough code repository analysis, fostering an environment where developers can contribute effectively.

In terms of contributor patterns, the focus on performance optimization is evident as the most time-consuming tasks—Benchmark (32.01%) and Schedule tests (30.45%)—account for over 62% of total workflow time. This indicates a strategic engineering investment analysis aimed at enhancing the efficiency of the development process.

  • The workflow for "Create and publish a Docker image" achieved a perfect success rate of 100% across 20 runs, averaging just 117.75 seconds.
  • The "Docs" workflow also excelled with 100% success in 24 runs, averaging 70.33 seconds, highlighting the importance of documentation quality.

Overall, the trends in developer contribution reveal a shift towards increased automation in testing and deployment processes. Django’s high success rates in workflows not only enhance productivity but also make it an attractive choice for developers seeking reliable frameworks for their projects.

GitHub Actions Key Performance Indicators
Average Execution Time (s)

130.84

8005.45
-0.98%
Success Rate

79.52

72.11
0.1%
Total Runs

586.00

2158568
-1%
Successful Runs

466.00

1556564
-1%
Failed Runs

23.00

334001
-1%
Total Run Time (hrs)

21.30

4800086.96
-1%
GitHub Actions Runs Over Time
Execution Duration Over Time
Success vs Failure

Success

95%

Failure

5%
Workflow Time Distribution

Benchmark

32%

Schedule tests

30%

Tests

23%

Linters

4%

Create and publish a Docker image

3%

Others

8%
GitHub Actions by Workflow
WorkflowTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)Min Duration (s)Max Duration (s)
Schedule tests22101245.451061.144763620
Benchmark3027390818.1703973
Tests6456887.5271.5234523
Create and publish a Docker image20200100117.75108146
Test110100949494

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Workflow Duration
Workflow Success Rates
GitHub Actions by Author
AuthorTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)
jacobtylerwalls158140588.61106.91
felixxm5651091.0749.89
SaptakS4239392.8677.21
smithdc13430388.24722.85
VIZZARD-X3220062.56.47

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GitHub Actions by Repository
RepositoryTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)
d
django
4793651776.297.17
dc
djangoproject.com
757239672.44
da
django-asv
3027390818.1
a
asgiref
11010057
dl
django-localflavor
11010094

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