Tool overview
Evidently AI is listed under AI Governance Safety & Evaluation AI tools.
What is Evidently AI?
Evidently provides an open-source Python library and platform for evaluating, testing, tracing, and monitoring machine-learning and generative-AI systems with built-in metrics, dashboards, datasets, and APIs.
Best for
AI teams evaluating and monitoring production models and LLM applications
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
100+ evaluation and monitoring metrics
LLM tracing and dataset management
Local self-hosted dashboards
API, CLI, and no-code enterprise workflows
Use cases
Test LLM and RAG applications
Monitor data and model drift
Build regression evaluation suites
Track traces and production quality
Pros
- Free open-source core under Apache-2.0
- Developer cloud tier is available
- Supports predictive and generative AI
Cons
- Advanced collaboration requires paid plans
- Hosted product availability has changed across documentation
- Production self-hosting needs operational ownership
Limitations
The current pricing page lists Developer and Pro hosted plans, while one setup page says the prior SaaS product is no longer available
deployment should be confirmed during procurement. Enterprise trial availability requires contacting the company.
Pricing details
Billing options
Pricing note
Open-source and Developer plans are free. Pro is $80/month and includes 100,000 rows per month, 100 GB snapshots, 10 projects, and five seats. Enterprise is custom; an enterprise self-hosted trial is available by request.
Supported languages
- English
Integrations
Python library
REST API
CLI
LLM providers
Data pipelines
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