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AI toolsModels & APIsCarton

Added Oct 28, 2026

Carton

Free
CartonModels & APIs views clicks to the websiteNo ratings
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Open-source library to run ML models from many programming languages

Framework-agnostic inference APIModel packing without conversionAutomatic runner selectionRust core with language bindingsCommunity model registryFree
OverviewReleasesPricingAlternativesPros & ConsPromptsReviewsQ&A
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carton.run
CartonOpen-source library to run ML models from many programming languagesVisit carton.run

What is Carton?

Carton is an open-source runtime that lets applications load and run machine learning models through one API, regardless of the framework the model was built in. It targets developers who want inference code that does not depend on PyTorch or TensorFlow directly.

A model is packed by wrapping the original file with metadata about its framework and version into a .carton zip, without converting it. When loaded, Carton reads that metadata, picks the right runner, fetches it if needed, and passes your inference calls through to the framework.

The core is written in Rust with bindings for Python, Rust and C, while JavaScript, TypeScript, Java, Go, Swift and several other languages are marked as work in progress. A community model registry is available alongside the docs and quickstart.

Features

  • Framework-agnostic inference API
  • Model packing without conversion
  • Automatic runner selection
  • Rust core with language bindings
  • Community model registry

Tags

Open SourceInferenceRustDeveloper Tools

Releases

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  1. ListedOct 28, 2026

    Carton was added to the directory.

Organization

Carton

Listed by kitio.ai · unverified owner

Pricing

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Pros and cons

Pros

  • Free and open source
  • No error-prone model conversion
  • Same API across frameworks

Cons

  • Many language bindings still in progress
  • Small community compared to ONNX tooling
  • Developer-only, no hosted service

Prompts & results

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Reviews

Q&A

What is Carton?

Carton is an open-source runtime that lets applications load and run machine learning models through one API, regardless of the framework the model was built in. It targets developers who want inference code that does not depend on PyTorch or TensorFlow directly.

Does Carton change my original model file?

No. It stores the original model unchanged inside a zip with a small metadata file describing the framework and version it needs.

Which languages can I use Carton from?

Python, Rust and C are available, and bindings for languages such as JavaScript, TypeScript, Java, Go, Swift and C# are listed as work in progress.

How much does Carton cost?

Carton is 100% free.

Is there a free version of Carton?

Yes. Carton is completely free to use.

What are the main features of Carton?

Framework-agnostic inference API, Model packing without conversion, Automatic runner selection, Rust core with language bindings, Community model registry.

Who makes Carton?

Carton is made by Carton.

What are the best alternatives to Carton?

Popular alternatives include Hugging Face, Replicate, Fireworks AI.

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