Key Takeaways
- In 2023, 96.4% of applications surveyed had open source components
- Over 90% of Fortune 1000 companies use open source software
- 99% of codebases in a study contained open source
- GitHub had 100M+ active developers in 2023
- 28M new repositories created on GitHub in 2023
- 40% of GitHub contributions from first-time contributors
- Open source market valued at $66B in 2023
- Open source contributes $8.8T to global GDP over 5 years
- Developers volunteer 2.8B hours yearly worth $240B
- GitHub repositories grew 17% to 420M in 2023
- OSS funding via GitHub Sponsors up 250% to $150M in 2023
- AI/ML OSS projects up 300% since 2020
- 96% of OSS components have known vulnerabilities
- Average OSS app has 528 vulnerabilities
- 75% of OSS codebases have high/critical vulns
Most surveyed applications and infrastructure rely on open source, but security risks demand stronger fixes.
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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.
Samuel Norberg. (2026, February 13). Opensource Statistics. Gitnux. https://gitnux.org/opensource-statistics
Samuel Norberg. "Opensource Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/opensource-statistics.
Samuel Norberg. 2026. "Opensource Statistics." Gitnux. https://gitnux.org/opensource-statistics.
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