Local-first, open-source MLOps platform for ML beginners and small teams.
Project description
ZebraOps
ZebraOps is a local-first MLOps reference implementation focused on clean contracts, reproducibility, and an ergonomic beginner-friendly workflow.
Documentation
- Main docs index:
docs/index.md - Tutorial:
docs/quickstart.md - API documentation:
docs/api.md - Best practices:
docs/best-practices.md - Operations:
docs/operations.md - Release guide:
docs/release.md
Quick Start
- Create a Python 3.11+ virtual environment.
- Install dependencies:
pip install -e .[dev] - Initialize a project scaffold:
mlops init-project - Start platform stack:
mlops up - Validate setup:
mlops doctor - Initialize example model:
mlops init tabular_churn
Main interfaces
- CLI:
mlops - Serving API:
zebraops.serving.api:app - Thin UI:
zebraops.ui.app:app
Project status
This repository implements the roadmap described in spec.md with an incremental,
contract-first architecture.
License
This project is licensed under Apache License 2.0. See LICENSE.
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