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README

Carton

Carton is a library that lets you run any machine learning (ML) model from any programming language*.

It wraps existing models and provides a uniform interface for your application to use regardless of the framework the underlying model was implemented in.

See https://carton.run for an overview of how it works and how to get started.

Getting started

See the quickstart guide at https://carton.run/quickstart

Model Registry

We have a model registry containing several popular open-source models.

Explore the registry at https://carton.pub and check out the quickstart guide.

Docs

See the documentation at https://carton.run/docs

Getting involved

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Core symbols most depended-on inside this repo

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Shape

Method 402
Function 233
Class 193
Enum 49
Interface 29

Languages

Rust85%
C++7%
Python4%
TypeScript4%
C1%

Modules by API surface

source/anywhere/src/types.rs41 symbols
source/carton-bindings-cpp/src/carton.cc31 symbols
source/carton-bindings-py/src/conversions.rs30 symbols
source/carton/src/info.rs29 symbols
source/carton/src/format/v1/carton_toml.rs28 symbols
source/carton-runner-interface/src/server.rs23 symbols
source/carton/src/httpfs.rs19 symbols
source/carton-runner-interface/src/do_not_modify/types.rs19 symbols
source/carton/src/types.rs18 symbols
source/carton/src/overlayfs.rs17 symbols
source/carton-runner-interface/src/do_not_modify/alloc_shm.rs17 symbols
source/carton-bindings-c/src/tensor.rs17 symbols

For agents

$ claude mcp add carton \
  -- python -m otcore.mcp_server <graph>

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