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Evidently AI

Evidently AI provides tools for evaluating, testing, and monitoring AI and machine learning systems, with metrics, data drift detection, dashboards, reports, and LLM evaluation.

At a Glance

Pricing Freemium

Evidently AI is an open-source evaluation, testing, and observability platform for machine learning models and generative AI systems. It helps teams evaluate AI quality, monitor model performance, detect data drift, and test applications such as LLMs and RAG systems.

Built for Python workflows, Evidently AI provides evaluation metrics, automated tests, reports, and dashboards. It can be used locally or integrated into development and production monitoring workflows.

How Evidently AI Works

  • Integrate Library: Add Evidently AI to your Python project and connect your datasets or AI application data.
  • Define Evals / Tests: Select built-in metrics or create custom evaluation rules and tests.
  • Run Pipelines: Execute evaluations through Python, CI/CD pipelines, or scheduled workflows.
  • Visualize Results: Review results through reports, dashboards, and monitoring views.
  • Track Changes: Monitor data quality, model performance, and drift over time.

How We Rated Evidently AI

We considered its evaluation metrics, ML and LLM testing, data drift monitoring, RAG support, reporting, dashboards, customization, and observability features.

Pros

  • Free and open-source core framework
  • Supports ML, LLM, and RAG evaluation
  • Large collection of built-in metrics
  • Supports local and self-hosted use

Cons

  • Advanced use requires Python knowledge
  • Self-hosting can require additional infrastructure
  • LLM evaluations may add API costs

Evidently AI is best suited for:

  • Data scientists and ML engineers
  • LLM and AI developers
  • MLOps teams
  • RAG and AI agent developers
  • Teams monitoring production AI systems

You should choose Evidently AI if you want to:

  • Evaluate ML models and AI applications
  • Monitor data quality and data drift
  • Test LLM and RAG applications
  • Use built-in AI and ML evaluation metrics
  • Create custom evaluation tests
  • Generate reports and monitoring dashboards
  • Integrate testing into Python and CI/CD workflows

Evidently AI's Key Features

100+ Built-in Metrics

LLM & Tabular Support

Testing API

Visual Reports & Dashboards

Tracing & Synthetic Data

Pricing

Free

Free

Disclaimer: for the latest and most accurate pricing, please visit the official Evidently AI website.

Frequently Asked Questions

What is Evidently AI mainly used for?
Evidently AI is used to evaluate, test, and monitor ML and AI systems, including LLM and RAG applications.
How does Evidently AI evaluate machine learning models?
It uses metrics, statistical tests, and custom evaluations to measure model performance and data quality.
What types of AI and ML monitoring does Evidently AI support?
It supports data quality, data drift, model performance, LLM outputs, and RAG monitoring.
How does Evidently AI detect data drift and changes?
It compares data distributions and uses statistical tests to identify changes between datasets.
Can Evidently AI be used to evaluate LLM applications?
Yes, it supports LLM evaluation for hallucinations, relevance, context quality, and RAG performance.
What reports and dashboards can be created with Evidently AI?
It creates reports and dashboards for tracking evaluation results, data quality, model performance, and AI behavior.

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