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Decision brief
Candle is a minimalist ML framework for Rust with an Apache-2.0 license.
Good fit when
- If you require a lightweight and efficient machine learning solution built in the Rust programming language for faster performance and memory safety.
- When targeting projects that can benefit from web assembly (WASM) support, using Candle may allow seamless integration into WASM environments like browser-based applications.
Avoid when
- If your project strictly requires deep interoperability with Python-centric ecosystems or libraries such as TensorFlow or PyTorch.
- Candle might not be the best choice if extensive pre-trained model repositories availability and ecosystem is crucial, as it may lack the breadth of models compared to more established frameworks.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (3d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Hugging Face. Display-only - separate from trust and ranking.
- Company
- Hugging Face·GitHub org profile·1mo
- Employees
- 160·Wikidata (P1128 employees)·1mo
- Funding
- $235,000,000 (2023-08)·GraphCanon curated seed (public press)·1mo
- Commercial model
- OSS + managed cloud·GraphCanon curated seed·1mo
Install
cargo add candleSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Candle is a minimalist machine learning framework developed in the Rust programming language designed to provide efficient and scalable AI solutions.
Capability facts
- Languages
- rust
Source: github.language · Aug 3, 2026
Categories
Graph entities
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README
install target platform 'wasm32-unknown-unknown'
rustup target add wasm32-unknown-unknown
cd candle-wasm-examples/llama2-c wget https://huggingface.co/spaces/lmz/candle-llama2/resolve/main/model.bin wget https://huggingface.co/spaces/lmz/candle-llama2/resolve/main/tokenizer.json trunk serve --release --port 8081
And then head over to
[http://localhost:8081/](http://localhost:8081/).
---
# Install git and curl
RUN set -eux; \
apt-get update; \
apt-get install -y curl git ca-certificates;
---
# Install Rust
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
For agents
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