head to head · open source

iFixAi vs giskard-oss

iFixAi has 42,613 GitHub stars, 1,775 forks, 2 open issues and last shipped 4 days ago. giskard-oss has 5,940 stars, 559 forks, 64 open issues and last shipped yesterday. iFixAi leads on adoption by 617% (42,613 vs 5,940 stars). iFixAi is written in Python under Apache-2.0; giskard-oss is written in Python under Apache-2.0. iFixAi has attracted 4% as many forks as stars, giskard-oss 9%. giskard-oss was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agent-evaluation, llm-evaluation), 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.

iFixAi ★ 43K giskard-oss ★ 5.9K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

iFixAi giskard-oss
GitHub stars ★ 43K ★ 5.9K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-10-30 2026-11-02
Forks ⑂ 1.8K ⑂ 559
Self-hosting Yes Yes
Data ownership Your server Your server

pick iFixAi if

  • You weight community size — 43K 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 iFixAi 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 iFixAi

iFixAi English · 简体中文 · 日本語 · 한국어 Independent Auditing of AI Agents Catch your agent's mistakes and blind spots before the shit hits the fan. Quick start • Three ways to run • Test your agent • Scoring • Docs • Contributing One ifixai run , end to end: guided setup picks the system, judge, and suite; the run verifies the connection and saves your config; 32 inspections execute across five pillars; and the result lands as an A–F grade with a scored core pillar scorecard. What it is The existing Eval, Red teaming, and Observability Tools are evaluating the agent mainly based on tech capability (token efficiency…

read the full iFixAi 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 iFixAi or giskard-oss more popular?

iFixAi has 42,613 GitHub stars and giskard-oss has 5,940. iFixAi has the larger community by that measure.

Are iFixAi and giskard-oss free?

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

What is the difference between iFixAi and giskard-oss?

iFixAi 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, iFixAi or giskard-oss?

Choose iFixAi if you want the larger community (42,613 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.