Evidently AI
ExternalEvidently AI is the leading open-source platform for ML and LLM observability, empowering teams to monitor, test, and debug AI systems in production. Featuring 100+ metrics—including data drift detection, hallucination checks, PII safeguards, and RAG relevance—it delivers actionable insights via interactive reports, test suites, and dashboards. Trusted by companies like Wise, Plaid, and Databricks, it's indispensable for data scientists and ML engineers ensuring reliable AI agents, predictive models, and retrieval pipelines.
Description
Evidently AI is the leading open-source platform for ML and LLM observability, empowering teams to monitor, test, and debug AI systems in production. Featuring 100+ metrics—including data drift detection, hallucination checks, PII safeguards, and RAG relevance—it delivers actionable insights via interactive reports, test suites, and dashboards. Trusted by companies like Wise, Plaid, and Databricks, it's indispensable for data scientists and ML engineers ensuring reliable AI agents, predictive models, and retrieval pipelines.
Key capabilities
- Open-source framework for ML/LLM observability with 100+ metrics
- Data drift and quality monitoring
- LLM evals for hallucination, PII, factuality, and RAG
- Interactive reports, test suites, and dashboards
- Supports tabular data, text/LLMs, CI/CD integration
Core use cases
- 1.Production ML model monitoring
- 2.RAG evaluation and retrieval accuracy
- 3.AI agent workflows, tool use, reasoning
- 4.Adversarial testing and red-teaming
- 5.Predictive systems, classifiers, summarizers
Is Evidently AI Right for You?
Best for
- ML engineers and data scientists for production observability
- Teams building RAG, AI agents, predictive systems with CI/CD
Not ideal for
- Beginners or non-technical users due to Python expertise required
- Users needing fully managed no-code enterprise platform
Standout features
- Automated per-response evaluations
- Synthetic data generation for edge cases
- Continuous testing with live dashboards
- Custom evals using prompts, models, rules
- Hallucination and factuality detection
- PII detection
- Retrieval/context relevance
- Sentiment, toxicity, tone analysis
Pricing
Developer
Pro
Expert
Enterprise
Startups
User Feedback Highlights
Most Praised
- Comprehensive monitoring with visual insights and pipeline integration
- Simplifies debugging and early drift detection
- Praised by users at Wise, Plaid, DeepL
- High customizability for teams of any size
Common Complaints
- Overly technical for beginners with complicated setup
- Limited detailed user reviews on some platforms
- OSS lacks alerting and advanced features (Cloud-only)