Scalable Inference Serving

MLflow Model Registry REST API

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.

GitHub

Documentation

📖
Documentation
https://mlflow.org/docs/latest/rest-api.html
📖
GettingStarted
https://mlflow.org/docs/latest/getting-started/intro-quickstart/
📖
APIReference
https://mlflow.org/docs/latest/rest-api.html

Other Resources

🔗
GitHub
https://github.com/mlflow/mlflow

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API entry from apis.yml

apis.yml Raw ↑ 
name: MLflow Model Registry REST API
description: 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.
image: https://mlflow.org/favicon.ico
humanUrl: https://mlflow.org/
baseUrl: https://mlflow.example.com/api/2.0
tags:
- Experiment Tracking
- Machine-Learning
- Model Registry
- MLOps
- Open-Source
- Versioning
tags_raw:
- Experiment Tracking
- Machine Learning
- Model Registry
- MLOps
- Open Source
- Versioning
properties:
- type: Documentation
  url: https://mlflow.org/docs/latest/rest-api.html
- type: GitHub
  url: https://github.com/mlflow/mlflow
- type: GettingStarted
  url: https://mlflow.org/docs/latest/getting-started/intro-quickstart/
- type: APIReference
  url: https://mlflow.org/docs/latest/rest-api.html
contact:
- type: Community
  url: https://github.com/mlflow/mlflow/discussions
- type: GitHubIssues
  url: https://github.com/mlflow/mlflow/issues