Key Takeaways
- 90% of Fortune 500 use GitHub Enterprise
- GitHub Enterprise Cloud users: 50k organizations
- Average enterprise seats: 500 per org
- Python is the most popular language with 20% of repositories
- JavaScript repositories grew 15% YoY in 2023
- Top 10 languages represent 80% of activity
- GitHub hosts over 420 million repositories as of 2024
- 128 million new repositories created in 2023
- Total pull requests merged: 500 million in 2023
- GitHub has blocked 50 million malicious packages since 2021
- Copilot users: 1.3 million paying as of 2024
- Dependabot updates applied: 90 million auto in 2023
- GitHub has over 100 million developers using the platform as of 2023
- In 2023, GitHub saw a 24% year-over-year increase in new developer accounts
- 28 million developers contributed to public repositories in 2023
GitHub powers 100 million developers with enterprise security, Copilot, and Actions fueling billions of monthly workflows.
Enterprise and Business Adoption
Enterprise and Business Adoption Interpretation
Language and Technology Trends
Language and Technology Trends Interpretation
Repository and Contribution Metrics
Repository and Contribution Metrics Interpretation
Security, AI, and Emerging Features
Security, AI, and Emerging Features Interpretation
User Growth and Demographics
User Growth and Demographics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Nathan Caldwell. (2026, February 13). Github Statistics. Gitnux. https://gitnux.org/github-statistics
Nathan Caldwell. "Github Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/github-statistics.
Nathan Caldwell. 2026. "Github Statistics." Gitnux. https://gitnux.org/github-statistics.
Sources & References
- Reference 1OCTOVERSEoctoverse.github.com
octoverse.github.com
- Reference 2GITHUBgithub.blog
github.blog
- Reference 3GITHUBgithub.com
github.com
- Reference 4EDUCATIONeducation.github.com
education.github.com
- Reference 5PLAYplay.google.com
play.google.com
- Reference 6GITHUBSTATUSgithubstatus.com
githubstatus.com
- Reference 7PAGESpages.github.com
pages.github.com
- Reference 8GISTgist.github.com
gist.github.com
- Reference 9DOCSdocs.github.com
docs.github.com
- Reference 10CODEQLcodeql.github.com
codeql.github.com
- Reference 11GITHUBgithub.dev
github.dev







