huggingface/candle

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

20955 stars · 1725 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Candle is a minimalist machine learning framework for Rust focused on performance and ease of use, with CPU and CUDA GPU support. It ships tensor operations and ready-made examples for models like LLaMA, Whisper, YOLO, and Segment Anything, including browser-based WASM demos.

Use cases

• run LLM inference in Rust
• tensor math with GPU acceleration in Rust
• run whisper speech recognition locally
• deploy ML models to wasm in the browser
• run yolo object detection without python
• image segmentation with segment anything in rust

When to choose

• you want a lightweight, dependency-light ML stack in pure Rust
• you need serverless or WASM deployment of ML models
• you want to avoid Python runtime overhead for inference

When to avoid

• you need the full PyTorch ecosystem, training tooling, or exotic ops
• you rely on Python libraries or pretrained pipelines out of the box
• you need broad hardware support beyond CUDA/CPU

Facets

framework · maturity active

machine-learning deep-learning llm-inference speech-recognition computer-vision gpu-computing wasm machine-learning deep-learning large-language-models computer-vision speech-processing developer-tools rust wasm cross-platform cli tensor-library rust-ml huggingface cuda serverless-inference gpu

Member repositories

For agents

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