Evaluation & Testing

Prompttools

Open-source Python tools for testing and evaluating models, vector DBs, and prompts.

Status
Generally available
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Prompttools is an open-source library that provides developers with the necessary tools to test and evaluate various AI models, vector databases, and prompts. It simplifies the process of ensuring these components meet performance standards before deployment.

Prompttools stands out as an open-source, Python-centric tool specifically designed for the rigorous testing and optimization of AI models and vector databases, offering flexibility and depth in performance analysis.

When it fits — and when it doesn’t

A good fit for

  • Developers who need to rigorously test and evaluate their AI models before deployment

  • Data scientists looking to optimize prompt generation for machine learning tasks

  • Teams working with vector databases that require performance testing

Look elsewhere if

  • Projects requiring real-time model evaluation (batch processing only)

  • Users seeking a cloud-based service rather than a local library solution

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 in the official docs are basic, lack detailed explanations for complex configurations

  2. 02

    Performance bottlenecks with large datasets

    Testing on large vector databases can lead to significant slowdowns and increased memory usage

What it does well

  • Comprehensive testing and evaluation of AI models

  • Support for vector databases and prompt optimization

  • Flexible configuration options for various use cases

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

How Fast Is It?

Set up Prompttools

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

Open the setup guide →
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