1.comet-ml / opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
+776 stars
from 22,322 · score 6.66
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2.xinxuxin / keystone-bench
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
+600 stars
from 473 · score 6.40
3.mlflow / mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
+409 stars
from 28,209 · score 6.02
4.vibrantlabsai / ragas
Supercharge Your LLM Application Evaluations 🚀
+322 stars
from 15,884 · score 5.78
5.MichaelGrupp / evo
Python package for the evaluation of odometry and SLAM
+29 stars
from 4,324 · score 3.40
6.xinshuoweng / AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
+5 stars
from 1,844 · score 1.79
7.VectorInstitute / cyclopsArchived
A toolkit for evaluating and monitoring AI models in clinical settings
+1 stars
from 96 · score 0.69