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Running AI at scale

Evidently

Tests and monitors AI and machine-learning systems to check they keep working well.

New this week

What it does

Evidently is a Python library that checks the quality of AI systems, from traditional prediction models to chatbots and document question-answering tools.

It has over a hundred ready-made checks, such as spotting when incoming data starts to look different (data drift) or using an AI model to grade answers. Results appear as interactive reports, and you can add pass or fail tests.

A monitoring dashboard shows results over time. You can host it yourself, or use the paid Evidently Cloud, which has a free tier.

Who it's for

Data scientists and machine-learning engineers who need to evaluate and monitor models in testing and in real use.

Can I use it without coding?

Developers only. It's used from Python; the dashboard can be self-hosted or used in the cloud. New to this? Start here.

Can I run it?

Cost
Free, with optional paid extrasThe open-source version is free; the makers also sell a hosted or pro version.
Computer
An ordinary computer is fine
Privacy
Your choice: run it on your device or use an online service
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe