rune
Rune provides containers to encapsulate and deploy edgeML pipelines and applications (by hotg-ai)
microflow-rs
A Rust TinyML compiler for neural network inference on embedded systems (by matteocarnelos)
| rune | microflow-rs | |
|---|---|---|
| 1 | 1 | |
| 132 | 58 | |
| 0.0% | - | |
| 0.0 | 7.8 | |
| almost 2 years ago | about 2 months ago | |
| Rust | Rust | |
| Apache License 2.0 | 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.
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.
rune
Posts with mentions or reviews of rune.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Introducing hotg.dev - open ideas meets open source
I believe the URL https://github.com/hotg-ai/rune is not correct on the page. There is a %20 before the https on the site: http://%20https//github.com/hotg-ai/rune
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
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 rune and microflow-rs you can also consider the following projects:
rust - Empowering everyone to build reliable and efficient software.
rust-aluvm - Rust implementation of AluVM (RISC functional machine)
esi - A streaming Edge Side Includes parser and executor designed for Fastly Compute.