# Evidently AI

Python evaluation framework for monitoring data quality, predictive models and LLM applications.

- Company: Evidently AI
- Category: Platforms & Infrastructure
- Business model: Open (open weights/source)
- Availability: unknown
- Launched: Not recorded
- Tags: eval, developer-tools
- Website: https://www.evidentlyai.com/
- Documentation: https://docs.evidentlyai.com/
- Pricing page: Not recorded
- License: Not recorded
- Canonical URL: https://globalaiproductindex.com/products/evidently-ai/
- Record updated: 2026-11-03

Typical uses include Investigation of agent failures; Regression evaluation of AI applications. Documented capabilities: Evaluate data and AI systems using a Python metric library; Detect data drift and predictive quality issues; Self-hosted testing dashboards and evaluation storage.

## Key features

- Evaluate data and AI systems using a Python metric library
- Detect data drift and predictive quality issues
- Self-hosted testing dashboards and evaluation storage

## Use cases

- Investigation of agent failures
- Regression evaluation of AI applications

## Pricing

The open-source software can be run on your own infrastructure. Compute, storage and any external model API usage are separate costs; a managed service is not included.

## FAQ

**Where does Evidently AI fit in a workflow?**

Python evaluation framework for monitoring data quality, predictive models and LLM applications. Evaluate data and AI systems using a Python metric library.

**What costs and limits should I compare before choosing Evidently AI?**

The open-source software can be run on your own infrastructure. Compute, storage and any external model API usage are separate costs; a managed service is not included.

## Sources

- [Evidently AI — official product](https://www.evidentlyai.com/)
- [Evidently AI — official documentation and terms](https://docs.evidentlyai.com/)

---
Data from the [Global AI Product Index](https://globalaiproductindex.com/), licensed CC BY 4.0.