fff-rs/juice

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1132 stars · 75 forks observed · 2026-08-28

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

Juice is a Rust machine learning framework ('The Hacker's Machine Learning Engine') built on the Coaster hardware abstraction layer, supporting CUDA, OpenCL, and native BLAS backends. The workspace includes the core framework, math abstractions, data preprocessing (greenglas), and a CLI for running examples like MNIST.

Use cases

• train neural networks in rust
• run machine learning on gpu with cuda or opencl
• hardware-agnostic deep learning framework
• learn ml framework internals in rust
• run mnist training example from cli

When to choose

• you want a Rust-native ML framework with pluggable GPU backends
• you need CUDA and OpenCL support from the same codebase
• you want to hack on or extend an ML engine

When to avoid

• you need production-grade training with broad model support - PyTorch or TensorFlow are far more mature
• you cannot set up CUDA/cuDNN, which is required for examples
• you need active community support - development is slow

Facets

framework · maturity maintenance

machine-learning deep-learning gpu-computing cli machine-learning deep-learning developer-tools rust cli cuda opencl blas hardware-agnostic capnproto neural-networks linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="fff-rs/juice")