chassisml/chassis

Chassis turns machine learning models into portable container images that can run just about anywhere.

38
/ 100
Emerging

Chassis helps machine learning engineers and MLOps practitioners package their trained Python ML models into portable container images. It takes your model code and dependencies, then outputs a containerized prediction API that can run across various environments. This is designed for anyone needing to deploy ML models consistently, whether in the cloud, on-premises, or on edge devices.

No commits in the last 6 months.

Use this if you need to reliably deploy your Python-based machine learning models as production-ready services in diverse computing environments.

Not ideal if you are looking for a platform to train your models or if you need to deploy models not written in Python.

MLOps model-deployment containerization edge-ai API-creation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

86

Forks

10

Language

Python

License

Apache-2.0

Last pushed

Apr 24, 2024

Commits (30d)

0

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