avatar

django GitHub Actions Analytics

GitHub Activity Summary

The Django organization on GitHub has exhibited impressive open source metrics throughout April 2026, showcasing a vibrant development journey. With a total of 2,205,240 runs across its repositories, the organization demonstrates significant engagement and a commitment to continuous improvement in code repository analysis.

During this month, the successful runs reached 1,589,365, resulting in a commendable 72.07% success rate. This statistic not only underscores the effectiveness of Django's workflows but also highlights the dedication of its contributors in maintaining high-quality code. The total run time of 4,811,501.67 hours indicates extensive testing and deployment processes, essential for ensuring reliability in software development.

Analyzing contributor patterns, the data reveals a consistent workflow execution, although the absence of recent run data may suggest a pause for strategic reassessment. This presents an opportunity for new developments, potentially invigorating future engagement within the community.

Moreover, the average execution time of 7,854.66 seconds could be optimized to enhance developer experience, making it an area for future focus. The lower failure rate of 344,143 runs reflects effective error management, further solidifying Django's position among leading frameworks.

In summary, the Django organization not only showcases strong GitHub performance but also offers valuable insights into developer contribution trends and engineering investment analysis. Its robust testing practices and active community engagement make it an essential framework for developers in the Python ecosystem.

GitHub Actions Key Performance Indicators
Average Execution Time (s)

0.00

7811.15
-1%
Success Rate

0.00

72.02
-1%
Total Runs

0.00

2218844
-1%
Successful Runs

0.00

1598115
-1%
Failed Runs

0.00

348244
-1%
Total Run Time (hrs)

0.00

4814367.86
-1%
GitHub Actions Runs Over Time
Execution Duration Over Time
Success vs Failure

Success

NaN%

Failure

NaN%
Workflow Time Distribution
GitHub Actions by Workflow
WorkflowTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)Min Duration (s)Max Duration (s)

1 to 0 of 0

Rows per page:

Workflow Duration
Workflow Success Rates
GitHub Actions by Author
AuthorTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)

1 to 0 of 0

Rows per page:

GitHub Actions by Repository
RepositoryTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)

1 to 0 of 0

Rows per page:

Our Mission

AI has fundamentally changed software development. Gitlights exists to help engineering leaders navigate this shift. We measure what traditional analytics can't: the real value each developer brings as an individual contributor. Because in a world where anyone can generate code, understanding who drives real impact is the new competitive advantage.


Powered by Gitlights |
2026 © Gitlights

v2.8.0