continuous-eval
by relari-ai · GitHub
Data-Driven Evaluation for LLM-Powered Applications
⭐ Stars
516
🍴 Forks
38
📜 License
Apache-2.0
Commercial use OK📅 Created
2023
🔄 Last commit
1 yr ago
🏷️ Category
evaluation-framework
💻 Language
You maintain this project?
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
📈 Star history
2026-07-202026-07-21
📄 About
Data-Driven Evaluation for LLM-Powered Applications
❓ Frequently asked questions
What is continuous-eval?
Data-Driven Evaluation for LLM-Powered Applications
Is continuous-eval open source?
continuous-eval is an open-source project. It is released under the Apache-2.0 license.
Is continuous-eval free?
Yes. continuous-eval is free and open source — you can use, modify and self-host it.
🏅 Maintainer of this project?
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://opensourceai.tech/project/relari-ai-continuous-eval.html)
🧬 Shares DNA with🧬 View the DNA map →
deepeval
The LLM Evaluation Framework
★ 17k · evaluation-framework
sharesevaluation-frameworkllm-evaluation
tonic_validate
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) appli…
★ 327 · evaluation-framework
sharesevaluation-frameworkevaluation-metrics
athina-evals
Python SDK for running evaluations on LLM generated responses
★ 301 · evaluation
sharesevaluation-frameworkevaluation-metrics
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.