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django GitHub Actions Analytics

GitHub Activity Summary

The Django GitHub organization exhibits commendable repository activity for October 2025, reflecting strong collaboration patterns and team dynamics that are vital for open source metrics. Over this period, the organization recorded **506 total runs** in GitHub Actions, achieving an impressive **88.95% success rate** with **451 successful runs**. Such performance underscores the reliability of development processes, essential for maintaining high-quality software.

When analyzing temporal trends, the average duration of workflows was **379.65 seconds**, with the longest clocking in at **21631 seconds**. Notably, the **“Schedule tests”** workflow had the highest average duration at **5107.65 seconds**, indicating extensive test coverage. In contrast, the **“Create and publish a Docker image”** workflow achieved a flawless **100% success rate** across **39 runs**, highlighting effective deployment processes that enhance GitHub performance.

Despite a slight **1.0% decrease** in total runs compared to previous months, the consistent success rate reflects a strategic shift towards quality over quantity, a crucial aspect for sustaining developer trust. Metrics from the **“Benchmark”** workflow, which achieved an **89.29% success rate** across **28 runs**, alongside the **“Tests”** workflow with **92.59%** over **108 runs**, emphasize Django's commitment to robust performance and reliability.

For engineering leaders and developers looking to engage with Django, these insights into pull request metrics and developer contribution trends underscore the organization’s focus on maintaining high standards in code investment and project health.

GitHub Actions Key Performance Indicators
Average Execution Time (s)

171.45

2373.61
-0.93%
Success Rate

91.74

74.41
0.23%
Total Runs

436.00

1627356
-1%
Successful Runs

400.00

1210848
-1%
Failed Runs

36.00

275817
-1%
Total Run Time (hrs)

20.76

1072975.19
-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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