MLOps for humans

omega-ml is the innovative Python-native MLOps platform that provides a scalable development and runtime environment for your Data Products. Works from laptop to cloud.

• Introduction
  • MLOps for humans
  • Key features
• User Guide
  • Getting started
  • Working with datasets
  • Working with models
  • Working with notebooks
  • Working with scripts
  • Working with streams
  • Deploying models and pipelines
  • Command-line interface
  • Advanced features
  • Integration
• Administration
  • Getting Started with omega-ml
  • Configuration
  • Runtime Architecture
• Development Guide
  • Architecture
  • Custom development
  • Metadata
  • Storage backends
  • Mixins
• Reference
  • core models
  • om.datasets
  • om.models
  • om.jobs
  • om.scripts
  • om.runtime
  • omegaml.mdataframe
  • omegaml.runtime.experiment
• Tutorial Notebooks
• Screenshots
  • Dashboard
  • Notebook Online Editor & Report publishing
  • Integrated Online Help
  • REST API documentation
• More information
• Changes
  • Release notes release/0.16.3
  • Release notes release/0.16.2
  • Release notes release/0.16.1
  • Release notes release/0.16.0
  • Release notes release/0.15.5
  • Release notes release/0.15.3
  • Release notes release/0.9
  • Release notes release/0.8.5
  • Release notes release/0.8
  • Release notes release/0.7
  • Release notes release/0.6
  • Release notes release/0.5
  • Release notes release/0.4