MLRun

Overview

MLRun is an open source MLOps platform for building and managing continuous ML applications across their lifecycle. It integrates into development and CI/CD environments and automates the delivery of production data, ML pipelines, and online applications.

Best for

Best for
Teams building continuous ML applications who want an open source MLOps platform to automate lifecycle management

Use cases

• Automating ML pipeline deployment from development to production
• Integrating model training and serving into existing CI/CD workflows
• Managing the full lifecycle of ML applications including data and model versioning

Notes

MLRun is an open source MLOps platform for building and managing continuous ML applications across their lifecycle. It integrates into development and CI/CD environments and automates the delivery of production data, ML pipelines, and online applications.

1,670 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

• Automating ML pipeline deployment from development to production
• Integrating model training and serving into existing CI/CD workflows
• Managing the full lifecycle of ML applications including data and model versioning

Pros

• Open source with a community-driven development model
• Designed to integrate directly into existing CI/CD pipelines
• Automates the delivery of production data, ML pipelines, and online applications

Cons

• Requires self-hosting and infrastructure setup
• Community support may be less responsive than commercial alternatives
• Learning curve for teams new to MLOps platforms

Indexed from awesome-llmops and enriched against its public facts.