evalplus
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
Evaluate the efficiency of code generated by AI models to ensure high-quality outputs.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeRigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
evalplus has 1.8k stars on GitHub. It has been forked 206 times. evalplus is written mainly in Python. It has been in active development since 2023. evalplus is available under the Apache-2.0 license. Its main topics are benchmark, chatgpt, efficiency, gpt-4.
What is evalplus?
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
Is evalplus open source?
evalplus is an open-source project. It is released under the Apache-2.0 license.
Is evalplus free?
Yes. evalplus is free and open source — you can use, modify and self-host it.
What license does evalplus use?
evalplus is available under the Apache-2.0 license.
What language is evalplus written in?
evalplus is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/evalplus-evalplus.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.