What is Chassis?
Chassis turns ML models written in Python into containerized prediction APIs in just minutes. We built it to be an easier way to put our models into containers and ship them to production.
Chassis picks up right where your training code leaves off and builds containers for a variety of target architectures. This means that after completing a single Chassis job, you can run your models in the cloud, on-prem, or on a fleet of edge devices (Raspberry Pi, NVIDIA Jetson Nano, Intel NUC, etc.).
Benefits
Turns models into containers, automatically
Creates easy-to-use prediction APIs
Builds containers locally on Docker or as a K8s service
Compiles for both x86 and ARM processors
Supports GPU batch processing
No missing dependencies, perfect for edge AI
Installation
Install Chassis on your machine or in a virtual environment via PyPi:
Stable - v1.5.*
pip install "chassisml[quickstart]"
Try it out
Quickstart Guide
(<5 minutes)
Full Workflow
(~10 minutes)
Docs
Framework-specific examples:
| 🤗 Diffusers |  Torch |
🤗 Transformers | Coming soon... |
Support
Join the #chassisml channel on Modzy's Discord Server where our maintainers meet to plan changes and improvements.
We also have a #chassis-model-builder Slack channel on the MLOps.community Slack!
Contributors
 Bradley Munday 💻 🤔 🚧 💬 |
 Seth Clark 🖋 📖 📆 |
 Clayton Davis 💻 📖 🤔 📆 |
 Nathan Mellis 🤔 🚇 💻 |
 saumil-d 💻 📖 ✅ 🤔 |
 lukemarsden 📖 📆 🤔 📢 📹 |
 Carlos Millán Soler 💻 |
 Douglas Holman 💻 |
 Phil Winder 🤔 |
 Sonja Hall 🎨 |
Release files for chassisml 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chassisml-1.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / chassisml-1.5.0-py3-none-any.whl
| Download URL | chassisml-1.5.0-py3-none-any.whl |
|---|---|
| Size | 53.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a1ae6c1b6a29dfc2ba96a09fcf55f6ef33e4a775e932b9a547ebd9fe2c6a4b2c
|
|
BLAKE2b-256 checksum How to use checksums |
d689eb18f37f4bb1cf7ec8989281cfaf9af78774cebe868bf90db531d8f212c5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.13
|
