Overview
MLRun is a production-focused open-source MLOps platform designed to accelerate building, deploying, and operating machine learning applications. It offers pipelines, monitoring, model serving, and experiment tracking to manage ML workloads across their lifecycle.
Key Features
- Lifecycle management for training, validation, deployment, and online serving.
- Experiment tracking for parameters, metrics, and artifacts.
- Deployment and serving tools for model automation.
Use Cases
- End-to-end MLOps pipelines for reproducible training and deployment.
- Model monitoring and automated retraining workflows.
- Integrating ML workloads into CI/CD and production systems.
Technical Details
- Stack: Python-centric with Kubernetes integrations and multiple storage backends.
- Extensibility: modular design for custom steps and runtimes.
- License: Apache-2.0.