Kymata Labs/The Living IndexesBuilt by tekvisions ↗
Observability Index
← All tools
The Observability Index / Drift & ML Monitoring / #4
evidentlyai

evidentlyai/evidently

by evidentlyai · Drift & ML Monitoring · updated today

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

79
momentum
7,907
stars
917
forks
#4
rank
data-driftdata-qualitydata-sciencedata-validationgenerative-aihacktoberfesthtml-reportjupyter-notebookllmllmopsmachine-learningmlops
View on GitHub →

More in Drift & ML Monitoring

Waikato
moa
Waikato
40
Drift & ML Monitoring
MOA is an open source framework for Big Data stream mining. It includes a collection of ma
adaptive-machine-learning
CapyMOA
adaptive-machine-learning
56
Drift & ML Monitoring
CapyMOA does efficient machine learning for data streams in Python. CapyMOA is a toolbox o
VectorInstitute
cyclops
VectorInstitute
67
Drift & ML Monitoring
A toolkit for evaluating and monitoring AI models in clinical settings
Arize-ai
client_python
Arize-ai
73
Drift & ML Monitoring
A Python client to interact with Arize API