Description
Evidently AI is an open-source framework and monitoring service for evaluating, testing, and monitoring machine learning models in production. The platform provides comprehensive tools for tracking model performance, data drift, concept drift, and feature importance across the model lifecycle. Using statistical algorithms and visualization techniques, Evidently AI helps data scientists and ML engineers identify issues before they impact business outcomes. With its focus on model reliability and observability, the platform enables organizations to build trust in their AI systems through continuous validation, transparent reporting, and automated quality assurance.
Key Features
- ML model performance monitoring
- Data and concept drift detection
- Explainable AI insights
- Automated model validation
- Interactive monitoring dashboards
Use Cases
- ML model quality assurance
- Production AI monitoring
- Model degradation prevention
- AI system reliability
- Machine learning regression testing
Pricing Model
Open-source core with cloud service options
Integrations
MLOps platforms, Data science environments, CI/CD pipelines, Monitoring systems, Visualization tools
Target Audience
ML engineers, Data scientists, MLOps specialists, AI quality assurance teams, Model risk managers
Launch Date
2020
Available On
Open-source toolkit, Cloud monitoring service, ML pipeline integration
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