GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Giskard-oss is an open-source Python library for testing and evaluating agentic systems, including LLMs, black-box agents, and multi-step pipelines. It offers modules for checks, scans, and provider-agnostic LLM routing.
Good fit when
- When you need a comprehensive testing and evaluation library for agentic systems, including LLMs, black-box agents, and multi-step pipelines.
- If you require a tool that supports both vulnerability scanning and quality evaluation for RAG systems.
Avoid when
- If you are working with Python versions below 3.12, as Giskard-oss requires Python 3.12+.
- When you prefer not to use tools that collect telemetry data, even if it is aggregated and does not include prompts or outputs.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install giskard-ossHow it fits your stack(12)
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Evidence and technical details
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Overview
Giskard is an open-source Python library for testing and evaluating agentic systems, including LLMs, black-box agents, and multi-step pipelines. It offers modules for checks, scans, and provider-agnostic LLM routing.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
Requires Python 3.12+.Source link
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README
Install Requires Python 3.12+. Extra Adds (none) and dependencies / / … provider SDKs (see optional deps) Telemetry: optional aggregated analytics via . No prompts or outputs are sent. Opt out with or (or the same keys in a file in the working directory). Set them before import t...
For agents
This page has a .md twin and JSON over the API.