edgeml VS microflow-rs

Compare edgeml vs microflow-rs and see what are their differences.

edgeml

Machine learning (ML) inference on Fastly's Compute@Edge (by doramatadora)

microflow-rs

A Rust TinyML compiler for neural network inference on embedded systems (by matteocarnelos)
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edgeml microflow-rs
1 1
12 58
- -
0.0 7.8
about 1 year ago about 2 months ago
Rust Rust
- Apache License 2.0
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.

edgeml

Posts with mentions or reviews of edgeml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-27.

microflow-rs

Posts with mentions or reviews of microflow-rs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-16.
  • TinyML: Ultra-low power Machine Learning
    5 projects | news.ycombinator.com | 16 Jan 2024
    I built a Rust TinyML compiler for my master thesis project: https://github.com/matteocarnelos/microflow-rs

    It uses Rust procedural macros to evaluate the model at compile time and create a predict() function that performs inference on the given model. By doing so, I was able to strip down the binary way more than TensorFlow Lite for Microcontrollers and other engines. I even managed to run a speech command recognizer (TinyConv) on an 8-bit ATmega328 (Arduino Uno).

What are some alternatives?

When comparing edgeml and microflow-rs you can also consider the following projects:

tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference