burn VS tract

Compare burn vs tract and see what are their differences.


Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn] (by burn-rs)


Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract] (by snipsco)
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burn tract
34 -
4,845 1,613
- -
8.9 10.0
6 months ago about 1 year ago
Rust Rust
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of burn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-08.


Posts with mentions or reviews of tract. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning tract yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing burn and tract you can also consider the following projects:

candle - Minimalist ML framework for Rust

Seed - A Rust framework for creating web apps

dfdx - Deep learning in Rust, with shape checked tensors and neural networks


tch-rs - Rust bindings for the C++ api of PyTorch.

Rocket - A web framework for Rust.

Graphite - 2D raster & vector editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.

smolrsrwkv - A relatively basic implementation of RWKV in Rust written by someone with very little math and ML knowledge. Supports 32, 8 and 4 bit evaluation. It can also directly load PyTorch RWKV models.

L2 - l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

jsonschema - JSON Schema validation library

wgpu - A cross-platform, safe, pure-Rust graphics API.

actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.