Giskard-AI / giskard-oss
🐢 Open-Source Evaluation & Testing library for LLM Agents
Why this job: topics: mlops, llmops, llm-evaluation, llm-eval
What it does
Opt out with export DO_NOT_TRACK=1 or export GISKARD_TELEMETRY_DISABLED=1 (or the same keys in a .env file in the working directory). Set them before import to skip creating ~/.giskard/id; setting them later still stops further sends. Details: giskard-core README.
Get started
pip install giskard
# checks (+ agents, llm, core)
pip install "giskard[scan]"
# + vulnerability / quality scan
pip install "giskard[openai]" # provider SDK for LLM judges / generators- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 5,947
- +7 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- giskard-agents/v1.0.6
- Released 16 days ago
- Built with
- Python
- 96% of the code
Is it looked after?
- Contributors
- 14
- Last 90 days
- Issues
- 96% closed
- 23 still open
- Pull requests
- 1,346 merged
- 62 waiting
- Releases
- 146
- 30+ in the last year
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More: languages, topics, project record and preview image
Languages
- Python 96%
- Jinja 4%
- Makefile 1%
Topics
- mlops
- ml-validation
- ml-testing
- ai-testing
- llmops
- responsible-ai
- fairness-ai
- trustworthy-ai
- llm-eval
- llm-evaluation
- rag-evaluation
- ai-security
Project record
- JobEvals and observability
- StatusListed
- Commits10,791
- Forks565
- Watching40
- Stars in 28 days+54
- CreatedMar 6, 2022
- First seen by usNov 7, 2026
- CheckedNov 10, 2026
