Evidently
Evaluate, test and monitor ML and LLM models
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.
Similar developer tools & git apps
Excalidraw
Developer Tools & GitVirtual hand-drawn style whiteboard
Replaces Miro
lazygit
Developer Tools & GitSimple terminal UI for Git commands
Replaces GitKraken, Sourcetree
Hoppscotch
Developer Tools & GitOpen-source API development ecosystem
Replaces Postman, Insomnia
json-server
Developer Tools & GitFull fake REST API from a JSON file in seconds
Replaces Mockoon, Postman Mock
Strapi
Developer Tools & GitLeading open-source headless CMS
Replaces Contentful
NocoDB
Developer Tools & GitOpen-source Airtable alternative
Replaces Airtable