Evaluation & Testing

Giskard

Testing & evaluation library for LLM applications, especially RAGs.

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Giskard is a testing and evaluation library designed specifically for Large Language Model (LLM) applications, particularly Retrieval-Augmented Generation systems. It helps developers ensure the reliability and accuracy of their AI models through rigorous testing frameworks.

Giskard stands out as a specialized testing library for LLM applications, offering comprehensive evaluation capabilities tailored specifically to RAG systems.

When it fits — and when it doesn’t

A good fit for

  • Teams building RAG apps who need thorough testing frameworks

  • Data scientists looking to validate their LLM models rigorously

  • Developers working on large-scale AI applications requiring robust evaluation tools

Look elsewhere if

  • Projects that require real-time performance metrics (Giskard is more suited for batch processing)

  • Teams with limited technical expertise in Python and machine learning frameworks

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation for advanced use cases

    Examples and tutorials are sparse beyond basic setup and usage

  2. 02

    Performance issues with large datasets

    Tests run significantly slower when evaluating large-scale LLM applications

  3. 03

    Small community and limited third-party integrations

    Few contributors on GitHub, limited plugins or extensions available from the community

What it does well

  • Comprehensive testing for LLM applications

  • Integration with RAG systems

  • Automated test generation and execution

  • Detailed reporting on model performance

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Giskard

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →