Evaluate the performance of AI applications using tailored metrics for various tasks.
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 anytimeData-Driven Evaluation for LLM-Powered Applications
continuous-eval has 516 stars on GitHub. It has been forked 38 times. continuous-eval is written mainly in Python. It has been in active development since 2023. continuous-eval is available under the Apache-2.0 license. Its main topics are evaluation-framework, evaluation-metrics, information-retrieval, llm-evaluation.
Data-Driven Evaluation for LLM-Powered Applications
continuous-eval is an open-source project. It is released under the Apache-2.0 license.
Yes. continuous-eval is free and open source — you can use, modify and self-host it.
continuous-eval is available under the Apache-2.0 license.
continuous-eval is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/relari-ai-continuous-eval.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.