About
Evidently AI is an open-source AI evaluation and observability framework released under Apache 2.0 license. The vendor describes it as a tool to evaluate, test, and monitor LLMs, RAG applications, AI agents, and ML models. The product includes automated evaluation features to measure AI output quality, safety, and reliability through visual reports. It offers synthetic data generation to create realistic, edge-case, or adversarial inputs. The platform provides continuous monitoring through a live dashboard to track evaluation results, quality checks, drift, regressions, and emerging risks. The page states the framework includes a library of over 100 built-in metrics and supports custom evaluations using prompts, models, or rules. Metrics cover adherence to guidelines, hallucinations, factuality, PII detection, retrieval quality, context relevance, sentiment, toxicity, tone, and trigger words. The vendor indicates the product is used for evaluating chatbots, RAG applications, AI agents, copilots, and predictive ML systems including data drift and data quality monitoring. The page reports 7500+ GitHub stars, 40m+ downloads, and 3000+ community members.
Read from evidentlyai.com on 2026-08-26. We describe what the vendor states; we do not audit it.
Enterprise Readiness
from cataloged dataNo compliance certifications listed
Flexible deployment: Cloud, Self-Hosted
8 documented integrations
6 documented use cases
Founded 2020 · Seed
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Independently sourced
Pulled directly from regulator filings and platform APIs. No vendor or editorial input.
Enterprise Use Cases
Integrations
How Evidently AI Monitoring compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| Evidently AI Monitoring | 59 · Established | Freemium | Cloud, Self-Hosted | — | 8 |
| Groq | Not scored | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Weights & Biases W&B | Not scored | Freemium | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Comet ML Platform | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is Evidently AI Monitoring used for?
Evidently AI Monitoring is open-source framework for evaluating, testing, and monitoring LLMs, RAG applications, AI agents, and ML models. It is commonly used for real-time model performance monitoring, data drift and concept drift detection, automated alerting and reporting for ml models, and compliance and audit readiness for ml pipelines.
Is Evidently AI Monitoring free, and how is it priced?
Evidently AI Monitoring offers a free tier, with paid plans that add capacity and features.
How can Evidently AI Monitoring be deployed?
Evidently AI Monitoring supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.
What does Evidently AI Monitoring integrate with?
Evidently AI Monitoring documents 8 integrations, including AWS, Azure, GCP, Databricks, Snowflake, and Kubernetes.
When was Evidently AI Monitoring founded?
Evidently AI Monitoring was founded in 2020 and has raised $6.5M in funding.
Is Evidently AI Monitoring enterprise-ready?
Based on cataloged data, Evidently AI Monitoring has an Enterprise Readiness score of 59/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
Quick Facts
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