head to head · open source

giskard-oss vs agentic_security

giskard-oss has 5,943 GitHub stars, 560 forks, 64 open issues and last shipped 3 days ago. agentic_security has 2,040 stars, 301 forks, 72 open issues and last shipped 4 days ago. giskard-oss leads on adoption by 191% (5,943 vs 2,040 stars). giskard-oss is written in Python under Apache-2.0; agentic_security is written in Python under Apache-2.0. giskard-oss has attracted 9% as many forks as stars, agentic_security 15%. giskard-oss was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai-red-team, llm-evaluation, llm-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 agentic_security ★ 2.0K category AI & Machine Learning

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Side by side

giskard-oss agentic_security
GitHub stars ★ 5.9K ★ 2.0K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-11-02 2026-11-01
Forks ⑂ 560 ⑂ 301
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 agentic_security if

  • You want the agentic_security feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and agentic_security fits your workflow better

full agentic_security 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 Giskard v2 remains available but is no longer actively maintained.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 agentic_security

Agentic Security An open source vulnerability scanner for Agent Workflows and Large Language Models (LLMs) Protecting AI systems from jailbreaks, fuzzing, and multimodal attacks. Explore the docs » · Report a Bug » Features Agentic Security equips you with powerful tools to safeguard LLMs against emerging threats. Here's what you can do: Multimodal Attacks 🖼️🎙️ Probe vulnerabilities across text, images, and audio inputs to ensure your LLM is robust against diverse threats. Multi Step Jailbreaks 🌀 Simulate sophisticated, iterative attack sequences to uncover weaknesses in LLM safety mechanisms. Comprehensive…

read the full agentic_security overview →

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Frequently asked questions

Is giskard-oss or agentic_security more popular?

giskard-oss has 5,943 GitHub stars and agentic_security has 2,040. giskard-oss has the larger community by that measure.

Are giskard-oss and agentic_security free?

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

What is the difference between giskard-oss and agentic_security?

giskard-oss is written in Python and agentic_security 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, giskard-oss or agentic_security?

Choose giskard-oss if you want the larger community (5,943 stars) or its Apache-2.0 licence terms. Choose agentic_security if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.