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Evidently AI
productml_observability
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Overview
Developed byEvidently AI team
Founded byEmeli Dral, Elena Samuylova
LicenseApache 2.0
Open source✓ Open Source
Primary languagePython
Use caseML monitoring for data drift, model quality degradation, and target drift detection
Technical
Protocols
PythonJSON
Also see
Alternative to
Weights & BiasesGreat Expectations
Competes with
Weights & Biases
Knowledge graph stats
Claims38
Avg confidence92%
Avg freshness100%
Last updatedUpdated 21h ago
Trust distribution
100% unverified
Governance
Not assessed
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Evidently AI

product

Open-source ML monitoring for data drift, model quality, and target drift detection

Compare with...

supports protocol

ValueTrustConfidenceFreshnessSources
Python○UnverifiedHighFresh1
JSON○UnverifiedModerateFresh1

detects

ValueTrustConfidenceFreshnessSources
data drift○UnverifiedHighFresh1

alternative to

ValueTrustConfidenceFreshnessSources
Weights & Biases○UnverifiedHighFresh1
Great Expectations○UnverifiedModerateFresh1

integrates with

ValueTrustConfidenceFreshnessSources
MLflow○UnverifiedHighFresh1
Jupyter Notebook○UnverifiedHighFresh1
Jupyter Notebooks○UnverifiedHighFresh1
Apache Airflow○UnverifiedModerateFresh1
Grafana○UnverifiedModerateFresh1
Weights & Biases○UnverifiedModerateFresh1

programming language

ValueTrustConfidenceFreshnessSources
Python○UnverifiedHighFresh1

primary use case

ValueTrustConfidenceFreshnessSources
ML monitoring for data drift, model quality degradation, and target drift detection○UnverifiedHighFresh1
ML model monitoring and validation○UnverifiedHighFresh1
ML model monitoring and observability○UnverifiedHighFresh1
ML model monitoring and data drift detection○UnverifiedHighFresh1

open source

ValueTrustConfidenceFreshnessSources
true○UnverifiedHighFresh1

license type

ValueTrustConfidenceFreshnessSources
Apache 2.0○UnverifiedHighFresh1
Apache License 2.0○UnverifiedHighFresh1

founded by

ValueTrustConfidenceFreshnessSources
Emeli Dral○UnverifiedHighFresh1
Elena Samuylova○UnverifiedHighFresh1

requires

ValueTrustConfidenceFreshnessSources
pandas○UnverifiedHighFresh1

developed by

ValueTrustConfidenceFreshnessSources
Evidently AI team○UnverifiedHighFresh1
Evidently AI○UnverifiedHighFresh1

use case

ValueTrustConfidenceFreshnessSources
data drift detection○UnverifiedHighFresh1
model performance monitoring○UnverifiedHighFresh1

provides feature

ValueTrustConfidenceFreshnessSources
data drift detection○UnverifiedHighFresh1
model performance monitoring○UnverifiedHighFresh1

supports format

ValueTrustConfidenceFreshnessSources
pandas DataFrames○UnverifiedHighFresh1
pandas DataFrame○UnverifiedModerateFresh1

supports visualization

ValueTrustConfidenceFreshnessSources
HTML reports○UnverifiedHighFresh1

supports deployment

ValueTrustConfidenceFreshnessSources
self-hosted○UnverifiedHighFresh1
cloud○UnverifiedModerateFresh1

supports framework

ValueTrustConfidenceFreshnessSources
pandas○UnverifiedHighFresh1
scikit-learn○UnverifiedModerateFresh1

deployment option

ValueTrustConfidenceFreshnessSources
cloud○UnverifiedModerateFresh1

pricing model

ValueTrustConfidenceFreshnessSources
freemium○UnverifiedModerateFresh1

competes with

ValueTrustConfidenceFreshnessSources
Weights & Biases○UnverifiedModerateFresh1

Alternatives & Similar Tools

Weights & Biases
alternative to
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Great Expectations
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Weights & Biases
competes with
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Commonly Used With

MLflowJupyter NotebookJupyter NotebooksApache AirflowGrafanaWeights & Biases

Related entities

Claim count: 38Last updated: 4/9/2026Edit history