EV

Evidently

Evaluate, test and monitor ML and LLM models

Developer Tools & Git ★ 8k stars Medium setup Apache-2.0

Evidently is an open-source framework for evaluating, testing and monitoring machine-learning and LLM models in production. It includes a self-hostable monitoring UI for tracking model quality over time.

Key features

  • Data and model drift checks
  • Self-hosted monitoring UI
  • LLM evaluation
  • Test suites

Strengths

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Mature project with 8k GitHub stars
  • Written in Jupyter Notebook

Is Evidently secure?

No known vulnerabilities affect Evidently's latest release (v0.7.23). OSV.dev lists 1 past advisory for the project; none of them applies to this release. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.

  • Most recent fixed advisory CVE-2026-75111, published 2026-08-17 (58 days ago)

Source: OSV.dev, checked 2026-10-14. How this is measured.

Evidently replaces

Health badge

Maintain Evidently? Add its health score to your README. The badge links back to this page.

SelfHostIndex: 93 · excellent

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   :alt: SelfHostIndex health score for Evidently
   :target: https://selfhostindex.com/app/evidently/

The score is recomputed on every nightly rebuild from public repository data — see how it is calculated.

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