kitops 1.2.1

A package for managing KitOps ModelKits and Kitfiles

PyKitOps

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

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