# MLflow Model Registry REST API

**Canonical:** https://apis.io/apis/scalable-inference-serving/mlflow-model-registry-rest-api/  
**Provider:** Scalable Inference Serving — https://apis.io/providers/scalable-inference-serving/

MLflow Model Registry REST API is one of 9 APIs that [Scalable Inference Serving](https://apis.io/providers/scalable-inference-serving/) publishes on the [APIs.io](https://apis.io/) network. Tagged areas include Experiment Tracking, Machine-Learning, Model Registry, MLOps, and Open-Source. The published artifact set on APIs.io includes API documentation, a getting-started guide, and an API reference.

MLflow is an open source platform for managing the ML lifecycle, including experiment tracking, reproducibility, and deployment. The MLflow REST API manages experiments, runs, metrics, parameters, artifacts, and the Model Registry for versioning and staging model deployments. CNCF-adjacent; used with KServe for model lifecycle management.

## Machine-readable artifacts (4)

- **Documentation** — https://mlflow.org/docs/latest/rest-api.html
- **GitHub** — https://github.com/mlflow/mlflow
- **GettingStarted** — https://mlflow.org/docs/latest/getting-started/intro-quickstart/
- **APIReference** — https://mlflow.org/docs/latest/rest-api.html

## Other Scalable Inference Serving APIs (8)

- [BentoML REST API](https://apis.io/apis/scalable-inference-serving/bentoml-rest-api/)
- [vLLM OpenAI-Compatible API](https://apis.io/apis/scalable-inference-serving/vllm-openai-compatible-api/)
- [NVIDIA Triton Inference Server HTTP API](https://apis.io/apis/scalable-inference-serving/nvidia-triton-inference-server-http-api/)
- [Ray Serve REST API](https://apis.io/apis/scalable-inference-serving/ray-serve-rest-api/)
- [Scalable Inference Serving Health API](https://apis.io/apis/scalable-inference-serving/scalable-inference-serving-health-api/)
- [Scalable Inference Serving Inference API](https://apis.io/apis/scalable-inference-serving/scalable-inference-serving-inference-api/)
- [Scalable Inference Serving Metadata API](https://apis.io/apis/scalable-inference-serving/scalable-inference-serving-metadata-api/)
- [Scalable Inference Serving Models API](https://apis.io/apis/scalable-inference-serving/scalable-inference-serving-models-api/)

## Tags

Experiment Tracking, Machine-Learning, Model Registry, MLOps, Open-Source, Versioning

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