head to head · open source

giskard-oss vs NeuroSploit

giskard-oss has 5,940 GitHub stars, 560 forks, 64 open issues and last shipped yesterday. NeuroSploit has 1,499 stars, 357 forks, 2 open issues and last shipped 15 days ago. giskard-oss leads on adoption by 296% (5,940 vs 1,499 stars). giskard-oss is written in Python under Apache-2.0; NeuroSploit is written in Rust under MIT. giskard-oss has attracted 9% as many forks as stars, NeuroSploit 24%. giskard-oss was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-security), 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.

giskard-oss ★ 5.9K NeuroSploit ★ 1.5K category AI & Machine Learning

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Side by side

giskard-oss NeuroSploit
GitHub stars ★ 5.9K ★ 1.5K
License Apache-2.0 MIT
Written in Python Rust
Last push 2026-11-02 2026-10-19
Forks ⑂ 560 ⑂ 357
Self-hosting Yes Yes
Data ownership Your server Your server

pick giskard-oss if

  • You weight community size — 5.9K 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

full giskard-oss profile →

pick NeuroSploit if

  • You want the NeuroSploit feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Rust
  • You evaluated both and NeuroSploit fits your workflow better

full NeuroSploit profile →

About giskard-oss

Evals, Red Teaming and Test Generation for Agentic Systems Modular, Lightweight, Dynamic and Async first Docs • Website • Community [!IMPORTANT] Giskard v3 is a fresh rewrite designed for dynamic, multi turn testing of AI agents. This release drops heavy dependencies for better efficiency while introducing a more powerful AI vulnerability scanner and enhanced RAG evaluation — both now shipping natively in giskard scan , with no dependency on v2. Only the legacy scan for tabular/ML models remains v2 only. Giskard v2 remains available but is no longer actively maintained. Follow progress → Read the v3…

read the full giskard-oss overview →

About NeuroSploit

🧠 NeuroSploit v4.4.0 Autonomous, multi model penetration testing harness — Rust, CLI first. by Joas A Santos & Red Team Leaders What is NeuroSploit? NeuroSploit is an autonomous penetration testing tool. You point it at a target; it does the security assessment on its own and hands you a report — recon, exploitation, chaining findings into real impact, and validation, with no human driving each step. The key idea: the harness is the pentester, not the model. Instead of asking one LLM to "hack this", a Rust engine runs the methodology — it picks the right specialist agents for what it finds, runs them in…

read the full NeuroSploit overview →

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Frequently asked questions

Is giskard-oss or NeuroSploit more popular?

giskard-oss has 5,940 GitHub stars and NeuroSploit has 1,499. giskard-oss has the larger community by that measure.

Are giskard-oss and NeuroSploit free?

Both are open source. giskard-oss is licensed under Apache-2.0 and NeuroSploit under MIT. Neither carries a licence fee.

What is the difference between giskard-oss and NeuroSploit?

giskard-oss is written in Python and NeuroSploit in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, giskard-oss or NeuroSploit?

Choose giskard-oss if you want the larger community (5,940 stars) or its Apache-2.0 licence terms. Choose NeuroSploit if its feature set, stack or MIT licence fits better. Both are self-hostable.