kitops 1.4.0

A package for managing KitOps ModelKits and Kitfiles

PyKitOps

PyKitOps is an open source Python SDK for managing KitOps ModelKits.

Please file issues in the main KitOps repository.

What is KitOps?

KitOps is a packaging, versioning, and sharing system for AI/ML projects that uses open standards so it works with the AI/ML, development, and DevOps tools you are already using, and can be stored in your enterprise container registry.

PyKitOps makes it easy to create a KitOps ModelKit for your AI/ML project directly in code. This makes PyKitOps preferred when assembling a ModelKit from:

• A Jupyter Notebook or other code editor
• An experimentation tracking tool like MLflow
• Or anywhere else you need

ModelKits typically include everything someone needs to reproduce an AI/ML project locally or deploy it into production. You can even selectively unpack a ModelKit so different team members can save time and storage space by only grabbing what they need for a task. Because ModelKits are immutable, signable, and live in your existing container registry they're easy for organizations to track, control, and audit.

Installation:

pip install kitops

Documentation:

PyKitOps documentation is part of the KitOps Docs