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Hugging Face Candle

Hacker Approved

Shares rank 9 of 19 machine learning libraries by recommenders

Recommended as a Rust machine learning library for running models locally, with fast inference and easy model downloads. Caveat: critics call it immature and not yet feature complete.

Recommended as a Rust machine learning library for running models locally, with fast inference and easy model downloads. Caveat: critics call it immature and not yet feature complete.

14 people gave an opinion

recommend it
11
criticize it
3
approval share
79%
Each figure is one person. RecommendsCriticizes

Recommended in 9 of 13 months

  1. November 2025: recommended
  2. December 2025: recommended
  3. January 2026: recommended
  4. February 2026: recommended
  5. March 2026: recommended
  6. April 2026: not recommended
  7. May 2026: recommended
  8. June 2026: recommended
  9. July 2026: not recommended
  10. August 2026: not recommended
  11. September 2026: recommended
  12. October 2026: recommended
  13. November 2026: not recommended (month in progress)

Why it carries the badge

  • 11 people recommend itNeeds 10 or more, met.
  • 3.7 recommenders for every criticNeeds 2 to 1 or better, met.
  • Recommended in 9 of 13 monthsNeeds 4 or more, met.

The same three rules apply to every product, and the badge can’t be bought. How the badge works

What people say about it

The reasons people give, with the number of comments that give each one. Open a reason to read what they said.

Why people recommend it

Each mark is one comment

  • Good for running models locally

    “I now have it basically flying with ~450 tok/s (~19 it/s) in Candle during inference”

    Comment from 16 Jun 2026 in “Running local models is good now”

    “Huggingface's Candle is fantastic for downloading/syncing/running models locally”

    Comment from 8 Feb 2026 in “Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory”

    “huggingface has the excellent Candle crate for inference on Rust”

    Comment from 16 Sep 2026 in “Nvidia announces native GPU programming in Rust”
  • Modern alternative to PyTorch

    “We really need to move all AI/ML research off PyTorch to Candle”

    Comment from 30 Sep 2026 in “PSSA: A non-transformer language model written from scratch in Rust”

    “Llama and Candle are a lot more modern for these things”

    Comment from 7 Nov 2025 in “Leaving Meta and PyTorch”

What people warn about

Each mark is one comment

  • Immature and not feature complete

    “Native projects such as Candle or Burn are not feature complete yet, but I assume they'll eventually get there”

    Comment from 12 May 2026 in “If AI Writes Your Code, Why Use Python?”

    “pure Rust rewrites (Candle, Burn, ...) are still immature and incomplete”

    Comment from 8 Jun 2026 in “Are you expected to run five Python type-checkers now?”

Other machine learning libraries people recommend

The four most recommended other machine learning libraries, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.

Hugging Face Candle compared with 4 alternatives
ProductRecommendCriticizeApprovalMonthsOwnedBadge
PyTorch1314774%12—Approved
MLX752476%12—Approved
JAX49689%12—Approved
OpenCV461674%11—Approved
Hugging Face CandleThis page11379%9—Approved
See all 19 machine learning libraries, ranked

What people said

16 of the 17 comments that mention it, newest first. Each links to the original comment.

“It also has a builtin rule of only launching each service one at a time”

RecommendsComment from 5 Oct 2026 in “Show HN: Candle – a helpful tool for running local dev services”

“We really need to move all AI/ML research off PyTorch to Candle”

RecommendsComment from 30 Sep 2026 in “PSSA: A non-transformer language model written from scratch in Rust”

“Candle didn't have support for GPUs on MacOS/Intel”

CriticizesComment from 17 Sep 2026 in “Nvidia announces native GPU programming in Rust”

“I have used it, and it works well.”

RecommendsComment from 17 Sep 2026 in “Nvidia announces native GPU programming in Rust”

“huggingface has the excellent Candle crate for inference on Rust”

RecommendsComment from 16 Sep 2026 in “Nvidia announces native GPU programming in Rust”

“I now have it basically flying with ~450 tok/s (~19 it/s) in Candle during inference”

RecommendsComment from 16 Jun 2026 in “Running local models is good now”

“pure Rust rewrites (Candle, Burn, ...) are still immature and incomplete”

CriticizesComment from 8 Jun 2026 in “Are you expected to run five Python type-checkers now?”

“Native projects such as Candle or Burn are not feature complete yet, but I assume they'll eventually get there”

MixedComment from 12 May 2026 in “If AI Writes Your Code, Why Use Python?”

“you still end up paying for expensive custom nvcc invocations”

CriticizesComment from 11 May 2026 in “CUDA-oxide: Nvidia's official Rust to CUDA compiler”

“easy to move things between CPU and GPU”

RecommendsComment from 8 Mar 2026 in “Show HN: Eyot, A programming language where the GPU is just another thread”

“Candle didn't have 2d conv backprop with strides properly implemented.”

MixedComment from 20 Feb 2026 in “Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI”

“Huggingface's Candle is fantastic for downloading/syncing/running models locally”

RecommendsComment from 8 Feb 2026 in “Show HN: LocalGPT – A local-first AI assistant in Rust with persistent memory”

“I could practically copy-paste the logic from the official HuggingFace transformers Python repository into TypeScript”

RecommendsComment from 29 Jan 2026 in “Show HN: Kandle – A WebGPU-based ML library written from scratch in JavaScript”

“designed to bring the true PyTorch experience to JavaScript/TypeScript”

RecommendsComment from 29 Jan 2026 in “Show HN: Kandle – A WebGPU-based ML library written from scratch in JavaScript”

“If you need WASM, I think Candle is your current best bet”

RecommendsComment from 23 Dec 2025 in “Executorch: On-device AI across mobile, embedded and edge for PyTorch”

“Llama and Candle are a lot more modern for these things”

RecommendsComment from 7 Nov 2025 in “Leaving Meta and PyTorch”

Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.