simple-evals

Overview

A lightweight Python framework from OpenAI for evaluating language model outputs. It provides standardized evaluation utilities to benchmark model performance on various tasks.

Best for

Best for
Developers who need a straightforward, OpenAI-aligned evaluation toolkit for LLM outputs

Use cases

• Running standardized evaluation benchmarks on LLM outputs
• Comparing performance of different models or prompts
• Integrating evaluation into development pipelines for quality checks

Notes

A lightweight Python framework from OpenAI for evaluating language model outputs. It provides standardized evaluation utilities to benchmark model performance on various tasks.

4,508 stars on GitHub. Last updated 2026-04-22. Licensed MIT.

Use cases

• Running standardized evaluation benchmarks on LLM outputs
• Comparing performance of different models or prompts
• Integrating evaluation into development pipelines for quality checks

Pros

• Lightweight and easy to integrate into existing Python projects
• Backed by OpenAI, ensuring alignment with their evaluation practices
• Simple API reduces boilerplate for common evaluation tasks

Cons

• Limited to evaluation methodologies defined by OpenAI, may not cover all use cases
• Community-driven support and documentation may be less comprehensive than commercial tools
• Primarily focused on OpenAI models, less optimized for other providers

Indexed from awesome-llm and enriched against its public facts.