product
Data quality: Editorially ReviewedSoftware & technology
Workflow orchestration
Observability
Self-hosted / on-premises
MLOps & model tooling
Predictive / classical ML
Freemium
SaaS (vendor-hosted)
Evidently AI
Observability
Overview
Evidently AI is an open-source framework for monitoring machine learning models and data quality in production. It provides data drift detection, target drift detection, model performance monitoring, and data quality reports. Evidently AI supports tabular data, text, and LLM evaluation, and generates interactive HTML reports for ML teams to monitor model health and reliability.
- Pricing model
- Freemium
- Deployment
- Self-hosted / on-premises, SaaS (vendor-hosted)
- Regions served
- Global
- Categories
- Software & technology, Workflow orchestration, Observability, Self-hosted / on-premises, MLOps & model tooling, Predictive / classical ML, Freemium, SaaS (vendor-hosted)
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Workflow orchestration
Deployment options
Self-hosted / on-premises
SaaS (vendor-hosted)
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- evidentlyai.com
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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