TheAlgorithms GitHub Actions Dashboard | GitLights
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TheAlgorithms GitHub Actions Analytics

GitHub Activity Summary

TheAlgorithms organization on GitHub exhibited notable activity throughout September 2025, showcasing a robust commitment to open-source development. During this period, the organization recorded a total of 750 action runs, achieving an impressive success rate of 95.2%, with 714 successful and only 25 failed runs. This reflects a consistent performance in their commit behavior and overall code quality, making significant strides in developer contribution trends.

In terms of pull request dynamics, the organization demonstrated a proactive approach to maintaining their repositories, with a variety of workflows that include CodeQL, CI, and Doxygen CI, all achieving high success rates. The average execution time across workflows was approximately 72.43 seconds, indicating efficient processing and code integration. Notably, workflows like Code Scanning - Action and Awesome CI Workflow maintained a perfect success rate of 100%, showcasing their effective engineering investment analysis.

Contributor patterns reveal that the top contributors, such as dependabot[bot] and siriak, have significantly influenced the organization’s success metrics. Dependabot[bot] alone accounted for 262 runs with a remarkable 98.47% success rate. This level of engagement underscores the collaborative spirit within TheAlgorithms, which is essential for sustaining long-term growth and innovation in the open-source community.

Overall, TheAlgorithms organization continues to thrive, demonstrating strong GitHub analytics and insights through their commitment to quality, collaboration, and continuous improvement in their codebase.

GitHub Actions Key Performance Indicators
Average Execution Time (s)

107.62

4013.59
-0.97%
Success Rate

94.85

71.55
0.33%
Total Runs

854.00

810008
-1%
Successful Runs

810.00

579598
-1%
Failed Runs

43.00

147326
-1%
Total Run Time (hrs)

25.53

903066.49
-1%
GitHub Actions Runs Over Time
Execution Duration Over Time
Success vs Failure

Success

95%

Failure

5%
Workflow Time Distribution

sphinx

15%

Project Euler

15%

build

14%

Build

10%

CodeQL

9%

Others

38%
GitHub Actions by Workflow
WorkflowTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)Min Duration (s)Max Duration (s)
Project Euler1073701334.2132258
cargo in /. - Update #10807101271010903903903
Infer1010579579579
github_actions in /.github/workflows - Update #10700651541010544544544
github_actions in /.github/workflows - Update #10731154381010485485485

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Workflow Duration
Workflow Success Rates
GitHub Actions by Author
AuthorTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)
dependabot[bot]2041901393.1475
siriak128126298.4414.98
MaximSmolskiy1251141191.250.78
DenizAltunkapan10198397.0385.85
realstealthninja78780100195.94

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GitHub Actions by Repository
RepositoryTotal RunsSuccessful RunsFailed RunsSuccess Rate (%)Average Duration (s)
J
Java
3052911395.4177.5
P
Python
2522302291.27169.33
CPP
C-Plus-Plus
81810100189.12
R
Rust
8178396.352.8
G
Go
4238490.4828.62

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