Open source alternatives to OpenAI Evals

Best for: Teams building LLM applications who need systematic prompt validation and security testing before deployment

Best for: Python developers building LLM agents who need automated safety and quality testing.

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

Best for: Developers building and testing LLM-based agents in TypeScript who need a lightweight evaluation framework

Best for: Researchers and developers who need rigorous, multi-dimensional evaluation of foundation models

Best for: Researchers and developers evaluating LLM reasoning capabilities with chain-of-thought prompting

Best for: Researchers and developers who need a simple, standardized way to evaluate instruction-tuned language models

Best for: Researchers and developers evaluating OLMo or compatible LLMs with reproducible benchmarks

Best for: Developers and researchers evaluating LLMs for tool-use and function-calling applications

Best for: Developers evaluating and comparing open-source LLMs and multimodal models

Best for: Researchers and developers needing a standardized way to measure LLM factuality

Best for: Researchers and engineers evaluating or selecting LLMs for legal applications

Best for: Researchers and developers building or using LLM evaluation benchmarks

Best for: Researchers and developers evaluating reasoning capabilities of AI models across multiple disciplines.

Best for: Researchers and developers evaluating AI systems on scientific reasoning tasks

Best for: Researchers and developers who need a standardized platform to compare LLM performance across common tasks.