head to head · open source
codex-security vs FuzzyAI
codex-security has 11,287 GitHub stars, 903 forks, 220 open issues and last shipped yesterday. FuzzyAI has 1,597 stars, 219 forks, 7 open issues and last shipped 9 months ago. codex-security leads on adoption by 607% (11,287 vs 1,597 stars). codex-security is written in TypeScript under Apache-2.0; FuzzyAI is written in Jupyter Notebook under Apache-2.0. codex-security has attracted 8% as many forks as stars, FuzzyAI 14%. codex-security was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| codex-security | FuzzyAI | |
|---|---|---|
| GitHub stars | ★ 11K | ★ 1.6K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | TypeScript | Jupyter Notebook |
| Last push | 2026-11-02 | 2026-02-06 |
| Forks | ⑂ 903 | ⑂ 219 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick codex-security if
- You weight community size — 11K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick FuzzyAI if
- You want the FuzzyAI feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and FuzzyAI fits your workflow better
About codex-security
Codex Security @openai/codex security is a CLI and TypeScript SDK for defining security policy and finding, validating, and fixing security vulnerabilities in your code. 👉👉 See the Codex Security documentation for full documentation. Some cybersecurity requests and protected findings require approval through Trusted Access for Cyber. To join the program, visit chatgpt.com/cyber. Quick start Requires Node.js 22.13.0 or later and Python 3.10 or later. For CI, set OPENAI API KEY instead of signing in. Generate SECURITY.md Draft repository wide or component scoped SECURITY.md guidance for future scans: The command…
read the full codex-security overview →
About FuzzyAI
FuzzyAI Fuzzer The FuzzyAI Fuzzer is a powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify jailbreaks and mitigate potential security vulnerabilities in their LLM APIs. Getting Started Quick start 1 Using an existing python project 1. Install fuzzyai 2. Run the fuzzer Quick start 2 or as a standalone project 1. Clone the repository: 2. Install dependencies using Poetry: 3. Run the fuzzer: 4. Optional: Install ollama, and download a model for local usage: Alternativly, you can use the Web UI Web UI (Experimental) 1. Run the Web UI (make sure you completed…
read the full FuzzyAI overview →
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Frequently asked questions
Is codex-security or FuzzyAI more popular?
codex-security has 11,287 GitHub stars and FuzzyAI has 1,597. codex-security has the larger community by that measure.
Are codex-security and FuzzyAI free?
Both are open source. codex-security is licensed under Apache-2.0 and FuzzyAI under Apache-2.0. Neither carries a licence fee.
What is the difference between codex-security and FuzzyAI?
codex-security is written in TypeScript and FuzzyAI in Jupyter Notebook. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, codex-security or FuzzyAI?
Choose codex-security if you want the larger community (11,287 stars) or its Apache-2.0 licence terms. Choose FuzzyAI if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.