head to head · open source

giskard-oss vs agentic-radar

giskard-oss has 5,830 GitHub stars, 537 forks, 64 open issues and last shipped 2 days ago. agentic-radar has 1,054 stars, 147 forks, 15 open issues and last shipped 10 months ago. giskard-oss leads on adoption by 453% (5,830 vs 1,054 stars). giskard-oss is written in Python under Apache-2.0; agentic-radar is written in Python under Apache-2.0. giskard-oss has attracted 9% as many forks as stars, agentic-radar 14%. 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-security, llm, 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 ★ 5.8K agentic-radar ★ 1.1K category AI & Machine Learning

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Side by side

giskard-oss agentic-radar
GitHub stars ★ 5.8K ★ 1.1K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-18 2025-11-27
Forks ⑂ 537 ⑂ 147
Self-hosting Yes Yes
Data ownership Your server Your server

pick giskard-oss if

  • You weight community size — 5.8K 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-radar if

  • You want the agentic-radar 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-radar fits your workflow better

full agentic-radar profile →

About giskard-oss

Giskard OSS is an open source Python library for evaluating, red teaming and testing LLM agents and RAG pipelines, built for developers, ML engineers and AI security teams that need reproducible checks on non deterministic systems.

read the full giskard-oss overview →

About agentic-radar

Agentic Radar is an open source command line security scanner that analyzes LLM agentic workflows and produces a shareable HTML report covering their structure, tools, MCP servers, and known vulnerabilities, built for developers, researchers, and security professionals.

read the full agentic-radar overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More AI Security & Privacy projects

Compare either of these against the rest of the AI Security & Privacy field.

giskard-oss vs strix giskard-oss vs shannon giskard-oss vs SkillSpector giskard-oss vs iFixAi giskard-oss vs codex-security giskard-oss vs garak giskard-oss vs AI-Infra-Guard giskard-oss vs Agentic-Bug-Hunter giskard-oss vs nono giskard-oss vs CyberStrike giskard-oss vs AiSOC giskard-oss vs pentest-ai-agents

Frequently asked questions

Is giskard-oss or agentic-radar more popular?

giskard-oss has 5,830 GitHub stars and agentic-radar has 1,054. giskard-oss has the larger community by that measure.

Are giskard-oss and agentic-radar free?

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

What is the difference between giskard-oss and agentic-radar?

giskard-oss is written in Python and agentic-radar 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-radar?

Choose giskard-oss if you want the larger community (5,830 stars) or its Apache-2.0 licence terms. Choose agentic-radar if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.