head to head · open source
bla vs pentest-ai
bla has 5,706 GitHub stars, 700 forks, 0 open issues and last shipped yesterday. pentest-ai has 1,827 stars, 334 forks, 2 open issues and last shipped 12 days ago. bla leads on adoption by 212% (5,706 vs 1,827 stars). bla is written in TypeScript under MIT; pentest-ai is written in Python under MIT. bla has attracted 12% as many forks as stars, pentest-ai 18%. bla was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-security, mcp), so they are genuine substitutes rather than adjacent tools.
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
| bla | pentest-ai | |
|---|---|---|
| GitHub stars | ★ 5.7K | ★ 1.8K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-14 | 2026-11-03 |
| Forks | ⑂ 700 | ⑂ 334 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick bla if
- You weight community size — 5.7K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- 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 bla
English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Türkçe · Русский · Tiếng Việt · ไทย · Deutsch · Español · Français · Українська · Polski · Português (Brasil) · العربية · فارسی · Bahasa Indonesia · Italiano · Ελληνικά · മലയാളം · Roman Urdu · Română BLA: Blind LLM Agents Make reverse engineering bankrupt again. Point BLA at the build you ship. When an AI reverse engineering agent (REA) opens it, the analyzer hits resource budgets, follows decoys, and burns tokens — while your users still get the same runtime behavior. Website · Guides · Showcases · Disclaimer Quick start · Empirical results · Format coverage · Benchmark · FAQ…
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 bla or pentest-ai more popular?
bla has 5,706 GitHub stars and pentest-ai has 1,827. bla has the larger community by that measure.
Are bla and pentest-ai free?
Both are open source. bla is licensed under MIT and pentest-ai under MIT. Neither carries a licence fee.
What is the difference between bla and pentest-ai?
bla is written in TypeScript 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, bla or pentest-ai?
Choose bla if you want the larger community (5,706 stars) or its MIT licence terms. Choose pentest-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.