omega-ml
  • Introduction
  • User Guide
  • Administration
  • Development Guide
  • Reference
  • Tutorial Notebooks
  • Screenshots
omega-ml
You're reading the documentation for a development version. For the latest released version, please have a look at release/0.17.0.
  • DataOps | MLOps for humans
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DataOps | MLOps for humansΒΆ

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
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