Evidently AI logo

Evidently AI

Open source evaluation and monitoring for ML and LLM systems with a SaaS platform offering pro and expert tiers.
data
Category
Beginner
Difficulty
Active
Status
Web App
Type

What is Evidently AI?

Discover how Evidently AI can enhance your workflow

Evidently provides testing and observability for machine learning and LLM applications. Teams instrument models or agents to track quality, drift and regressions using 100 plus built in metrics and visual reports. The open source library powers local testing and dashboards, while the hosted platform layers alerting, retention, multi project seats and advanced evaluations such as adversarial and synthetic data tests. This combination suits startups and enterprises that want transparency and reproducibility without black box scoring. Typical workflows include pre deployment checks, canary rollouts with guardrails, continuous dataset drift monitoring and LLM eval harnesses that score prompts for faithfulness and safety. With clear pricing for Pro and Expert tiers, organizations can begin with hobby projects then scale to larger teams with governance and longer retention.

Key Capabilities

What makes Evidently AI powerful

Metrics and reports

Use 100 plus metrics to evaluate data quality, drift and performance, then share interactive reports.

Implementation Level Professional

Hosted platform

Add alerting, retention and seats so teams act on issues quickly and track improvements over time.

Implementation Level Professional

LLM and agents

Run eval harnesses with synthetic and adversarial cases to probe safety, bias and faithfulness.

Implementation Level Professional

Pipelines and CI

Connect notebooks, CI and orchestration to automate checks across versions and deployments.

Implementation Level Intermediate

Key Features

What makes Evidently AI stand out

  • Open source library with 100 plus metrics and reports
  • Hosted platform with alerting and retention
  • LLM evaluation harnesses and agent testing
  • Synthetic and adversarial data generation options
  • Multi project seats with role based access
  • Drift and data quality monitoring in production
  • Integrations for notebooks CI and pipelines
  • Transparent dashboards to audit model health

Use Cases

How Evidently AI can help you

  • Run pre deployment checks and regression tests
  • Monitor data drift and performance decay in prod
  • Score LLM prompts for faithfulness and safety
  • Set alerts for quality thresholds and anomalies
  • Compare model versions during canary rollouts
  • Generate synthetic cases to harden evaluations
  • Share dashboards with stakeholders for decisions
  • Keep historical evidence for audits and compliance

Perfect For

ml engineers data scientists platform teams ai safety and quality owners who need transparent evaluation dashboards and alerts for ML and LLM apps

Plans & Pricing

Free / $80 per month / Custom pricing

Visit official site for current pricing

Quick Information

Category data
Pricing Model Free plan
Last Updated 3/19/2026

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Frequently Asked Questions

How does pricing start?
Public pricing lists a Free tier and Pro at $50 per month with an Expert plan from $399 per month.
Is the core open source?
Yes, the library is open source and powers the hosted product, you can start locally then upgrade.
Does it support teams?
Paid tiers add seats, projects and longer retention to coordinate across orgs.
Can I monitor tabular and text models?
Yes, Evidently supports classic ML as well as LLM applications and agents.
Do you offer enterprise deployment?
Expert and enterprise engagements add advanced tests and support for private environments.

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