head to head · open source
iFixAi vs pentest-ai
iFixAi has 43,018 GitHub stars, 1,780 forks, 2 open issues and last shipped yesterday. pentest-ai has 1,793 stars, 328 forks, 2 open issues and last shipped yesterday. iFixAi leads on adoption by 2,299% (43,018 vs 1,793 stars). iFixAi is written in Python under Apache-2.0; pentest-ai is written in Python under MIT. iFixAi has attracted 4% as many forks as stars, pentest-ai 18%. iFixAi 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
| iFixAi | pentest-ai | |
|---|---|---|
| GitHub stars | ★ 43K | ★ 1.8K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.8K | ⑂ 328 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick iFixAi if
- You weight community size — 43K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick pentest-ai if
- You want the pentest-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and pentest-ai fits your workflow better
About iFixAi
iFixAi English · 简体中文 · 日本語 · 한국어 Independent Auditing of AI Agents Catch your agent's mistakes and blind spots before the shit hits the fan. Quick start • Three ways to run • Test your agent • Scoring • Docs • Contributing One ifixai run , end to end: guided setup picks the system, judge, and suite; the run verifies the connection and saves your config; 32 inspections execute across five pillars; and the result lands as an A–F grade with a scored core pillar scorecard. What it is The existing Eval, Red teaming, and Observability Tools are evaluating the agent mainly based on tech capability (token efficiency…
read the full iFixAi overview →
About pentest-ai
Website · Quick start · Verification · Documentation · Issues Pentest AI connects an AI client or model to a penetration testing workflow. It investigates applications, records findings, and uses machine oracles to check whether an exploit can be reproduced . Verified findings carry evidence you can replay. Use it through MCP , from the CLI , or in CI . The model helps drive the investigation; an oracle determines whether a finding earns a verified verdict. Test only systems you own or have explicit authorization to assess. Read the acceptable use policy and terms before running an engagement. Quick start…
read the full pentest-ai overview →
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Frequently asked questions
Is iFixAi or pentest-ai more popular?
iFixAi has 43,018 GitHub stars and pentest-ai has 1,793. iFixAi has the larger community by that measure.
Are iFixAi and pentest-ai free?
Both are open source. iFixAi is licensed under Apache-2.0 and pentest-ai under MIT. Neither carries a licence fee.
What is the difference between iFixAi and pentest-ai?
iFixAi is written in Python and pentest-ai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, iFixAi or pentest-ai?
Choose iFixAi if you want the larger community (43,018 stars) or its Apache-2.0 licence terms. Choose pentest-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.