hasktorch/hasktorch

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1211 stars · 125 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Hasktorch is a Haskell library for tensor math and neural networks, built on bindings to the C++ libtorch libraries that power PyTorch. It provides GPU support, automatic differentiation, and type-safe functional programming abstractions for building differentiable programs.

Use cases

• build neural networks in Haskell
• train deep learning models with type-safe tensors
• do automatic differentiation in a functional language
• run tensor computations on GPU with CUDA or MPS
• research differentiable programming in Haskell

When to choose

• you are a Haskell developer wanting to do machine learning
• you want type-level guarantees on tensor shapes and models
• you prefer functional programming idioms for neural network composition
• you want PyTorch-backed performance without leaving Haskell

When to avoid

• you need a mature ecosystem with many pretrained models and tutorials
• your team works primarily in Python
• you need production ML tooling with broad community support
• you cannot tolerate evolving APIs during active development

Facets

library · maturity active

machine-learning deep-learning math machine-learning deep-learning cross-platform haskell tensors neural-networks libtorch pytorch-bindings automatic-differentiation cuda functional-programming linux macos gpu

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markdown · JSON · MCP: product_card(name="hasktorch/hasktorch")