steelix VS tract

Compare steelix vs tract and see what are their differences.

steelix

Your one stop CLI for ONNX model analysis. (by FL33TW00D)

tract

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract] (by snipsco)
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steelix tract
2 -
43 1,613
- -
10.0 10.0
over 1 year ago about 1 year ago
Rust Rust
MIT License 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.

steelix

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

tract

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 steelix and tract you can also consider the following projects:

tractjs - Run ONNX and TensorFlow inference in the browser.

burn - 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]

onnxruntime-rs - Rust wrapper for Microsoft's ONNX Runtime (version 1.8)

Seed - A Rust framework for creating web apps

blindai - Confidential AI deployment with secure enclaves :lock:

zap

altius - Small ONNX inference runtime written in Rust

Rocket - A web framework for Rust.

ortex - ONNX Runtime bindings for Elixir

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.

wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web

jsonschema - JSON Schema validation library