# MLflow API

**Canonical:** https://apis.io/apis/microsoft-azure-databricks/mlflow-api/  
**Provider:** Azure Databricks — https://apis.io/providers/microsoft-azure-databricks/  
**Base URL:** https://<databricks-instance>.azuredatabricks.net/api/2.0/mlflow

MLflow API is one of 38 APIs that [Azure Databricks](https://apis.io/providers/microsoft-azure-databricks/) publishes on the [APIs.io](https://apis.io/) network. Tagged areas include Experiments, Machine-Learning, Mlops, and Model Tracking. The published artifact set on APIs.io includes API documentation and an API reference.

Track experiments, log metrics, and manage ML models using the MLflow tracking and registry APIs.

## Machine-readable artifacts (2)

- **Documentation** — https://learn.microsoft.com/azure/databricks/mlflow/
- **APIReference** — https://docs.databricks.com/api/azure/workspace/experiments

## Other Azure Databricks APIs (12)

- [DBFS API](https://apis.io/apis/microsoft-azure-databricks/dbfs-api/)
- [Libraries API](https://apis.io/apis/microsoft-azure-databricks/libraries-api/)
- [Secrets API](https://apis.io/apis/microsoft-azure-databricks/secrets-api/)
- [Token Management API](https://apis.io/apis/microsoft-azure-databricks/token-management-api/)
- [SQL Analytics API](https://apis.io/apis/microsoft-azure-databricks/sql-analytics-api/)
- [Instance Pools API](https://apis.io/apis/microsoft-azure-databricks/instance-pools-api/)
- [Cluster Policies API](https://apis.io/apis/microsoft-azure-databricks/cluster-policies-api/)
- [Repos API](https://apis.io/apis/microsoft-azure-databricks/repos-api/)
- [Git Credentials API](https://apis.io/apis/microsoft-azure-databricks/git-credentials-api/)
- [Pipelines API](https://apis.io/apis/microsoft-azure-databricks/pipelines-api/)
- [Permissions API](https://apis.io/apis/microsoft-azure-databricks/permissions-api/)
- [Unity Catalog - Catalogs API](https://apis.io/apis/microsoft-azure-databricks/unity-catalog-catalogs-api/)

## Tags

Experiments, Machine-Learning, Mlops, Model Tracking

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/apis/microsoft-azure-databricks/mlflow-api/). The API's provider profile, Kin Score and agent-readiness rating are at https://apis.io/providers/microsoft-azure-databricks/.