Home Projects prometheus-eval
prometheus-eval
Python

prometheus-eval

Evaluate your LLM's response with Prometheus and GPT4 💯

by prometheus-eval · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
evaluationgpt4litellmApache-2.0Python
View on GitHub
In plain words

Evaluate how well your language model generates responses using advanced evaluation tools.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
prometheus-eval — GitHub preview card
📈 Star history
1 1031 102
2026-07-202026-08-31
📈 Track prometheus-eval

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Evaluate your LLM's response with Prometheus and GPT4 💯

prometheus-eval has 1.1k stars on GitHub. It has been forked 71 times. prometheus-eval is written mainly in Python. It has been in active development since 2024. prometheus-eval is available under the Apache-2.0 license. Its main topics are evaluation, gpt4, litellm, llm.

Frequently asked questions

What is prometheus-eval?

Evaluate your LLM's response with Prometheus and GPT4 💯

Is prometheus-eval open source?

prometheus-eval is an open-source project. It is released under the Apache-2.0 license.

Is prometheus-eval free?

Yes. prometheus-eval is free and open source — you can use, modify and self-host it.

What license does prometheus-eval use?

prometheus-eval is available under the Apache-2.0 license.

What language is prometheus-eval written in?

prometheus-eval is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — prometheus-eval

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=prometheus-eval-prometheus-eval)](https://olud.ai/project/prometheus-eval-prometheus-eval.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.