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What is Evidently AI?
Evidently is an open-source tool (with a cloud platform) for evaluating and monitoring machine learning and LLM applications, covering data drift, quality, and LLM output checks. It's aimed at ML and AI engineers who need to keep models reliable in production.
Key features
- Data drift and quality monitoring
- LLM output evaluation and test suites
- Interactive reports and dashboards
- Open-source library plus hosted cloud
- Integrations with ML pipelines
How to get started
- Install the open-source Evidently library
- Add checks to your data or LLM pipeline
- Generate reports or test suites
- Use Evidently Cloud for continuous monitoring
Use cases
- Monitoring models in production
- Evaluating LLM app quality
- Detecting data drift
- ML observability
Evidently AI vs. alternatives
| Tool | How it compares |
|---|---|
| Evidently AI | Open-source evaluation and monitoring for ML and LLM systems. |
| Hugging Face | Model hub with some evaluation tooling. |
| Weights & Biases | Experiment tracking and model monitoring. |
FAQ
Is Evidently AI free to use?
Evidently AI's plans: Open-source, plus paid Cloud. Pricing and free-tier limits change over time, so check the official site above for the latest details.
What is Evidently AI used for?
Open-source evaluation and monitoring for ML and LLM systems.
Who is Evidently AI best for?
Evidently AI is a good fit for monitoring models in production, or evaluating LLM app quality.
What are the alternatives to Evidently AI?
Commonly compared alternatives include Hugging Face and Weights & Biases, see the comparison above for how they differ.
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HLast reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools