head to head · open source

AI-Infra-Guard vs giskard-oss

AI-Infra-Guard has 7,377 GitHub stars, 735 forks, 35 open issues and last shipped 2 days ago. giskard-oss has 5,946 stars, 561 forks, 64 open issues and last shipped 3 days ago. AI-Infra-Guard leads on adoption by 24% (7,377 vs 5,946 stars). AI-Infra-Guard is written in Python under Apache-2.0; giskard-oss is written in Python under Apache-2.0. AI-Infra-Guard has attracted 10% as many forks as stars, giskard-oss 9%. AI-Infra-Guard was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (ai-security, llm, 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.

AI-Infra-Guard ★ 7.4K giskard-oss ★ 5.9K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

AI-Infra-Guard giskard-oss
GitHub stars ★ 7.4K ★ 5.9K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-11-03 2026-11-02
Forks ⑂ 735 ⑂ 561
Self-hosting Yes Yes
Data ownership Your server Your server

pick AI-Infra-Guard if

  • You weight community size — 7.4K 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 AI-Infra-Guard profile →

pick giskard-oss if

  • You want the giskard-oss 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 giskard-oss fits your workflow better

full giskard-oss profile →

About AI-Infra-Guard

📖 Documentation 🌐 🇨🇳 中文 · 🇯🇵 日本語 · 🇪🇸 Español · 🇩🇪 Deutsch · 🇫🇷 Français · 🇰🇷 한국어 · 🇧🇷 Português · 🇷🇺 Русский 🚀 AI Red Teaming Platform by Tencent Zhuque Lab A.I.G (AI Infra Guard) integrates capabilities such as ClawScan(OpenClaw Security Scan), Agent Scan,AI infra vulnerability scan, MCP Server & Agent Skills scan, and Jailbreak Evaluation, aiming to provide users with the most comprehensive, intelligent, and user friendly solution for AI security risk self examination. We are committed to making A.I.G(AI Infra Guard) the industry leading AI red teaming platform. More stars help this project…

read the full AI-Infra-Guard overview →

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 →

More in AI & Machine Learning

Related comparisons

More AI Security & Privacy projects

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

Frequently asked questions

Is AI-Infra-Guard or giskard-oss more popular?

AI-Infra-Guard has 7,377 GitHub stars and giskard-oss has 5,946. AI-Infra-Guard has the larger community by that measure.

Are AI-Infra-Guard and giskard-oss free?

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

What is the difference between AI-Infra-Guard and giskard-oss?

AI-Infra-Guard is written in Python and giskard-oss 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, AI-Infra-Guard or giskard-oss?

Choose AI-Infra-Guard if you want the larger community (7,377 stars) or its Apache-2.0 licence terms. Choose giskard-oss if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.