Evaluation & Testing

athina-evals

Python SDK for evaluating LLM-generated responses

Status
Not yet determined
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Athina-Evals is a Python SDK that enables developers to run evaluations on Large Language Model generated responses, providing insights into model performance and reliability.

Athina-Evals stands out as a flexible, open-source Python library specifically designed for evaluating LLM-generated responses, offering comprehensive metrics and easy integration with existing ML workflows.

When it fits — and when it doesn’t

A good fit for

  • Teams that need to evaluate and benchmark LLMs in a Python environment

  • Data science teams looking for an open-source solution for model evaluation

Look elsewhere if

  • Projects requiring real-time evaluation of models due to its batch processing nature

  • Users who prefer cloud-based solutions over self-hosted libraries

Known weaknesses

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

  1. 01

    Documentation lacks depth for advanced use cases

    Examples are basic; no detailed guide for complex configurations or troubleshooting

What it does well

  • Comprehensive evaluation metrics for LLM responses

  • Flexible configuration options to customize evaluations

  • Integration with popular ML frameworks and libraries

Pricing

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

Pricing last confirmed Sep 26, 2026.

Performance benchmarks

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Set up athina-evals

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

Open the setup guide →
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