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.
+2,118 stars
from 20,980 · score 7.66
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2.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.
+1,343 stars
from 27,275 · score 7.20
3.vibrantlabsai / ragas
Supercharge Your LLM Application Evaluations 🚀
+1,147 stars
from 15,059 · score 7.05
4.MichaelGrupp / evo
Python package for the evaluation of odometry and SLAM
+71 stars
from 4,282 · score 4.28
5.xinshuoweng / AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
+11 stars
from 1,838 · score 2.48
6.INGInious / INGInious
INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.
+5 stars
from 238 · score 1.79
7.Maluuba / nlg-eval
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
+2 stars
from 1,390 · score 1.10
8.VectorInstitute / cyclopsArchived
A toolkit for evaluating and monitoring AI models in clinical settings
+2 stars
from 95 · score 1.10