Evidently AI

What it does

Evidently is an open-source framework for evaluating, testing, and monitoring AI systems. It takes the inputs, outputs, and datasets from LLM applications, RAG pipelines, AI agents, and predictive ML models, then produces metric results, pass/fail tests, and visual reports.

The Python library suits ad hoc checks and experiments, with 100+ built-in metrics, LLM-as-a-judge grading, and synthetic data generation. The self-hosted platform adds tracing, storage for evaluation runs, test dataset management, and dashboards for production observability, so teams can share test suites and monitor live data.

It fits ML engineers, data scientists, and AI teams building LLM-powered products or monitoring predictive models. The framework is released under Apache 2.0. Evaluation quality depends on the metrics and judges you choose, so custom evals benefit from human review.

What it can do

• Run automated evaluations of LLM and ML outputs with 100+ built-in and custom metrics
• Grade outputs with LLM-as-a-judge
• Generate synthetic test cases, including edge cases and adversarial inputs
• Manage versioned test suites and datasets
• Produce visual reports comparing models and prompts
• Monitor live data with continuous evaluations and drift detection

Works with

• MLflow

Before you choose

• The open-source library is free to use, but LLM-as-a-judge and synthetic data generation rely on external models whose costs are not described in the sources
• Evaluation quality depends on metric choice and judge configuration, so custom metrics need validation

Listed under

• Coding
• DevOps and observability
• AI evaluation
• Data drift
• LLM observability
• ML monitoring
• MLOps
• Open source

Get started

Source code is on GitHub under Apache 2.0; installation guide is in the docs.

1. Install the Evidently Python library following the installation guide in the docs
2. Run a first evaluation using the quickstart in the documentation
3. Optionally deploy the self-hosted platform for tracing, dataset management, and dashboards

Open-source library under Apache 2.0. Costs for any hosted offering and for external models used as judges should be verified with the vendor.

We couldn’t find published prices for Evidently AI.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• What is Evidently? - Documentation ↗docs.evidentlyai.com
• LLM Evaluation and Observability | Evidently AI ↗www.evidentlyai.com
• Evidently AI - Open-source AI Evaluation and Observability ↗www.evidentlyai.com

Company website

evidentlyai.com: product, pricing and policy pages

Hacker News

Launch posts and discussion

YC directory mirror

Batch and company name

Social accounts

Accounts the company links, and its posts on X

Human review

Checked by a person

manual_review

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.