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simple-evals

OpenAI
open source / Overall score: 2.0

OpenAI's lightweight reference library for evaluating language models, open sourced for transparency about the accuracy numbers it publishes alongside new models. It bundles implementations of MMLU, MATH, GPQA, DROP, MGSM, HumanEval, SimpleQA, BrowseComp and HealthBench, emphasizing the zero-shot, chain-of-thought setting, each with its upstream license listed. The library is deprecated and will no longer be updated for new models or benchmark results.

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public(reference eval implementations)
core features withheld
no

The code is MIT-licensed and public, and MIT is an OSI license. The repository is deprecated and not actively maintained, but the README describes a plain reference library with no paid tier, managed service or license key beside it.

  • https://api.github.com/repos/openai/simple-evals/license recorded 2026-08-13

    GitHub's license endpoint reports spdx_id MIT for openai/simple-evals and returns the MIT text as the LICENSE body.

  • https://github.com/openai/simple-evals recorded 2026-06-04

    MIT license; lightweight eval library; deprecation notice (July 2025); ~4.5k stars

  • https://raw.githubusercontent.com/openai/simple-evals/main/LICENSE recorded 2026-09-29

    The repository LICENSE file is the MIT License: "MIT License" followed by "Permission is hereby granted, free of charge, to any person obtaining a copy" of the software, with the copyright held by OpenAI.

  • https://raw.githubusercontent.com/openai/simple-evals/main/README.md recorded 2026-09-29

    The README opens with a deprecation notice, "will no longer be updated for new models or benchmark results", and calls the library open source: "We are open sourcing it so we can be transparent about the accuracy numbers we're publishing alongside our latest models". Run instructions use the repo directly ("python -m simple-evals.simple_evals --model <model_name> --examples <num_examples>") and setup needs only pip packages such as "pip install openai". Searched the README for a paid tier, managed service, hosted edition and license key and found none.

Adoption

2 low confidence
2.0

simple-evals is run from source with no pip distribution, so there is no download signal, leaving GitHub stars as the only measure available, and a star is not a use. The project is also deprecated and not actively maintained.

Capability

2 medium confidence
2.0

simple-evals is a lightweight reference library: the README lists nine bundled benchmarks and sampler interfaces for only the OpenAI and Claude APIs. It says the repository is not actively maintained and is not accepting new evals.

  • https://github.com/openai/simple-evals recorded 2026-06-04

    bundled benchmark list (MMLU/MATH/GPQA/HumanEval/HealthBench/etc.); zero-shot CoT approach

  • https://raw.githubusercontent.com/openai/simple-evals/main/README.md recorded 2026-09-29

    The README lists the bundled evals and their upstream licenses (MMLU, MATH, GPQA, DROP, MGSM, HumanEval, SimpleQA, BrowseComp, HealthBench), says the library emphasizes "the *zero-shot, chain-of-thought* setting", that "We will not be actively maintaining this repository and monitoring PRs and Issues", and that "we're not accepting new evals". Samplers cover only the OpenAI and Claude APIs: "We have implemented sampling interfaces for the following language model APIs".

Verified 2026-09-27