{"data":{"slug":"huggingface-candle","name":"candle","tagline":"Minimalist ML framework for Rust","github_url":"https://github.com/huggingface/candle","owner":"huggingface","repo":"candle","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Rust","stars":21106,"forks":1769,"topics":[],"archived":false,"github_pushed_at":"2026-09-25T09:39:22+00:00","maintenance_label":"Very active","stars_delta_30d":281,"url":"https://www.graphcanon.com/tools/huggingface-candle","markdown_url":"https://www.graphcanon.com/tools/huggingface-candle.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-candle","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-candle","description":"Minimalist ML framework for Rust","homepage_url":null,"license":"Apache-2.0","open_issues":903,"watchers":166,"ai_summary":"Candle is a minimalist machine learning framework developed in the Rust programming language designed to provide efficient and scalable AI solutions.","readme_excerpt":"# install target platform 'wasm32-unknown-unknown'\nrustup target add wasm32-unknown-unknown\n\ncd candle-wasm-examples/llama2-c\nwget https://huggingface.co/spaces/lmz/candle-llama2/resolve/main/model.bin\nwget https://huggingface.co/spaces/lmz/candle-llama2/resolve/main/tokenizer.json\ntrunk serve --release --port 8081\n```\nAnd then head over to\n[http://localhost:8081/](http://localhost:8081/).\n\n---\n\n# Install git and curl\nRUN set -eux; \\\n  apt-get update; \\\n  apt-get install -y curl git ca-certificates;\n\n---\n\n# Install Rust\nRUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y","github_created_at":"2023-06-19T16:06:31+00:00","created_at":"2026-07-11T23:22:58.152784+00:00","updated_at":"2026-09-26T06:00:30.128434+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"ml-framework","name":"ml framework"},{"slug":"rust","name":"rust"}],"trust":{"provenance":{"is_fork":false,"github_id":655797848,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-26T06:00:29.391Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":0,"last_release_at":null,"stars_delta_30d":281,"open_issues_delta_30d":27},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:23:05.694Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-26T06:00:29.827Z"},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-09-26T06:00:29.827Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-26T06:00:29.827Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["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."],"when_not_to_use":["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."],"source":"enrich:decision_facts","observed_at":"2026-07-16T19:16:33.770Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Adopt for","value":"Candle is a minimalist ML framework for Rust with an Apache-2.0 license."},{"label":"License detail","value":"Uses Apache-2.0 license."}]}}