DataOps | MLOps for humans

omega|ml is the innovative Python-native DataOps and MLOps platform that provides a ready-to-use data science workbench, development and runtime environment. Works from laptop to cloud.

• Introduction
  • Start here
  • Use Cases
  • Key features
• User Guide
  • Getting started
  • Working with datasets
  • Working with models
  • Working with notebooks
  • Working with the cloud
  • Advanced features
• Administration
  • Getting Started with omega|ml
  • Configuration
  • Using omega|ml on private Spark Clusters
  • Interface with omega|ml to get/put models and objects
  • Design
• Development Guide
  • Architecture
  • Custom development
  • Metadata
  • Storage backends
  • Mixins
• Reference
  • Public API
  • Developer API
• Tutorial Notebooks
• Screenshots
  • Dashboard
  • Notebook Online Editor & Report publishing
  • Integrated Online Help
  • REST API documentation