
Evidently AI
8.3#2 in machine learning model monitoring softwareFrom $80 a monthFree planWebAPILinuxmacOS
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| Fact | Evidently AI | FiboRisk Model Monitoring |
|---|---|---|
| Integrations | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. | Approved integrations are scoped as part of the platform environment, while the pricing page says integrations and related costs are confirmed in the SOW. |
| Purpose | Evidently evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. | Monitors model performance, drift, bias, latency, overrides, and realized outcomes against the accepted model and policy version. |
It suits teams evaluating or monitoring AI applications and predictive ML models, including those that want open-source tooling or a hosted platform. Its synthetic-data and red-team capabilities may also suit teams assessing adversarial inputs and risks.
It is aimed at teams that need to monitor model behavior and retain evidence for validation or audit. It may suit organizations that require deployment and controls to be defined for a specific environment.