🖧 Technology & Internet

Global Open-Source Project 'Security Vulnerability' Keyword Density

Measuring how often global open-source projects mention security vulnerabilities in their documentation.

Observations
134
Tracking since
Last updated

Security Vulnerability Keyword Density in Open-Source Project Docs

The percentage of words in a project's documentation that are related to 'security vulnerability'.

73 observations across 8 series · measured in %

142.9%
vercel/next.js
▬ 0.0% vs previous
13 Oct 2026 17:45
99.1%
openai/codex
▬ 0.0% vs previous
13 Oct 2026 17:45
73.7%
twbs/bootstrap
▬ 0.0% vs previous
13 Oct 2026 17:45
71.4%
anthropics/claude-code
▬ 0.0% vs previous
13 Oct 2026 17:45
60.4%
microsoft/markitdown
▬ 0.0% vs previous
13 Oct 2026 17:45
38.8%
langflow-ai/langflow
▬ 0.0% vs previous
13 Oct 2026 17:45
34.9%
f/prompts.chat
▬ 0.0% vs previous
13 Oct 2026 17:45
0.0%
Other (36)
▼ 100.0% vs previous
13 Oct 2026 18:00
Security Vulnerability Keyword Density in Open-Source Project Docs (%) — summary, last 30 days.
  • vercel/next.js
  • openai/codex
  • twbs/bootstrap
  • anthropics/claude-code
  • microsoft/markitdown
  • langflow-ai/langflow
  • f/prompts.chat
  • Other (36)
0.0%50.0%100.0%150.0%17:4217:5118:00vercel/next.js: 142.9% — 13 Oct 2026 17:42vercel/next.js: 142.9% — 13 Oct 2026 17:45openai/codex: 99.1% — 13 Oct 2026 17:43openai/codex: 99.1% — 13 Oct 2026 17:45twbs/bootstrap: 73.7% — 13 Oct 2026 17:42twbs/bootstrap: 73.7% — 13 Oct 2026 17:45anthropics/claude-code: 71.4% — 13 Oct 2026 17:42anthropics/claude-code: 71.4% — 13 Oct 2026 17:45microsoft/markitdown: 60.4% — 13 Oct 2026 17:42microsoft/markitdown: 60.4% — 13 Oct 2026 17:45langflow-ai/langflow: 38.8% — 13 Oct 2026 17:42langflow-ai/langflow: 38.8% — 13 Oct 2026 17:42langflow-ai/langflow: 38.8% — 13 Oct 2026 17:45langflow-ai/langflow: 38.8% — 13 Oct 2026 17:45f/prompts.chat: 34.9% — 13 Oct 2026 17:42f/prompts.chat: 34.9% — 13 Oct 2026 17:42f/prompts.chat: 34.9% — 13 Oct 2026 17:45f/prompts.chat: 34.9% — 13 Oct 2026 17:45
Security Vulnerability Keyword Density in Open-Source Project Docs (%) — line, last 30 days.
  • vercel/next.js142.9%
  • openai/codex99.1%
  • twbs/bootstrap73.7%
  • anthropics/claude-code71.4%
  • microsoft/markitdown60.4%
  • langflow-ai/langflow38.8%
  • f/prompts.chat34.9%
  • Other (36)0.0%
Security Vulnerability Keyword Density in Open-Source Project Docs (%) — bar, last 30 days.
  • vercel/next.js142.9%
  • openai/codex99.1%
  • twbs/bootstrap73.7%
  • anthropics/claude-code71.4%
  • microsoft/markitdown60.4%
  • langflow-ai/langflow38.8%
  • f/prompts.chat34.9%
  • Other (36)0.0%
Security Vulnerability Keyword Density in Open-Source Project Docs (%) — dot plot, last 30 days.
Security Vulnerability Keyword Density in Open-Source Project Docs (%) — share, last 30 days.
0.0%–11.9%: 25 observations11.9%–23.8%: 11 observations23.8%–35.7%: 11 observations35.7%–47.6%: 7 observations47.6%–59.5%: 5 observations59.5%–71.4%: 6 observations71.4%–83.3%: 4 observations83.3%–95.2%: 0 observations95.2%–107.1%: 2 observations107.1%–119.1%: 0 observations119.1%–131.0%: 0 observations131.0%–142.9%: 2 observations0.0%142.9%25
Security Vulnerability Keyword Density in Open-Source Project Docs (%) — distribution, last 30 days.
061218
13 Oct

Darker = higher security vulnerability keyword density in open-source project docs. Empty cells are hours with no collection.

Security Vulnerability Keyword Density in Open-Source Project Docs (%) — heatmap, last 30 days.
Security Vulnerability Keyword Density in Open-Source Project Docs observations
WhenSeriesSecurity Vulnerability Keyword Density in Open-Source Project Docs
Other (36)0.0%
Other (36)0.1%
Other (36)0.4%
Other (36)0.1%
Other (36)0.4%
Other (36)25.4%
Other (36)45.0%
Other (36)70.1%
Other (36)24.3%
openai/codex99.1%
Other (36)21.4%
Other (36)2.6%
Other (36)39.8%
Other (36)5.9%
vercel/next.js142.9%
Other (36)12.9%
anthropics/claude-code71.4%
Other (36)1.2%
langflow-ai/langflow38.8%
langflow-ai/langflow38.8%
Other (36)33.0%
Other (36)5.0%
twbs/bootstrap73.7%
f/prompts.chat34.9%
f/prompts.chat34.9%
Other (36)7.6%
Other (36)1.6%
Other (36)57.7%
microsoft/markitdown60.4%
Other (36)8.8%
Other (36)2.2%
Other (36)17.8%
Other (36)30.9%
Other (36)10.7%
Other (36)53.9%
Other (36)67.4%
Other (36)6.9%
Other (36)15.7%
Other (36)18.9%
Other (36)70.4%
Other (36)54.9%
Other (36)15.1%
Other (36)24.3%
openai/codex99.1%
Other (36)21.4%
Other (36)2.6%
Other (36)39.8%
Other (36)5.9%
vercel/next.js142.9%
Other (36)12.9%
anthropics/claude-code71.4%
Other (36)1.2%
langflow-ai/langflow38.8%
langflow-ai/langflow38.8%
Other (36)33.0%
Other (36)5.0%
Other (36)7.6%
f/prompts.chat34.9%
f/prompts.chat34.9%
twbs/bootstrap73.7%
Other (36)1.6%
Other (36)57.7%
Other (36)8.8%
microsoft/markitdown60.4%
Other (36)2.2%
Other (36)17.8%
Other (36)30.9%
Other (36)10.7%
Other (36)53.9%
Other (36)67.4%
Other (36)6.9%
Other (36)15.7%
Other (36)18.9%
Security Vulnerability Keyword Density in Open-Source Project Docs (%) — table, last 30 days.

About this data

This statistic tracks the average density of security vulnerability-related keywords within the public documentation of global open-source projects. We analyse a broad range of project repositories, focusing on their READMEs, wikis, and official documentation pages.

The presence and frequency of these keywords offer a unique insight into a project's proactive approach to security. It helps gauge the level of self-awareness and transparency regarding potential weaknesses, moving beyond formal vulnerability databases to understand the 'chatter' within the project itself.

By quantifying this discourse, we can identify projects that are more explicitly engaging with security concerns in their public-facing materials, potentially indicating a stronger security-conscious culture.

Sources

Every figure on this page was read from these pages.

Why this isn't published anywhere else

While there are many resources tracking open-source vulnerabilities and security trends, none specifically measure the keyword density of security discussions within project documentation as a proactive indicator of security culture.

Uniqueness score 0.90 — assessed against live web search results when this subject was created.