Carton – Run any ML model from any programming language
The goal of Carton is to let you use a single interface to run any machine learning model from any programming language. It’s currently difficult to integrate models that use different technologies (e.g. TensorRT, Ludwig, TorchScript, JAX, GGML, etc) into your application, especially if you’re not using Python. Even if you learn the details of integrating each of these frameworks, running multiple frameworks in one process can cause hard-to-debug crashes. Ideally, the ML framework a model was developed in should just be an implementation detail. Carton lets you decouple your application from…
Carton – Run any ML model from any programming language launched on September 27, 2023 with 196 votes, #223 of 4,228 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Carton is a tool that provides a unified interface for running machine learning models from any programming language, regardless of the framework used to build them. It isolates models in separate processes to avoid compatibility issues and framework conflicts, allowing developers to integrate TensorRT, PyTorch, JAX, GGML and other ML technologies without deep framework-specific knowledge. Built primarily in Rust with language bindings, Carton decouples applications from specific ML frameworks so developers can focus on their core problems.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
The goal of Carton is to let you use a single interface to run any machine learning model from any programming language. It’s currently difficult to integrate models that use different technologies (e.g. TensorRT, Ludwig, TorchScript, JAX, GGML, etc) into your application, especially if you’re not using Python. Even…
Does a similar job
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Source: Show HN post ↗ · launch text quoted in part
