RusticSOM and kohonen

These are competitors—both provide standalone Rust implementations of Self-Organizing Maps algorithms without dependency on each other, so users would select one based on maturity (RusticSOM's higher adoption) or specific features rather than using them together.

RusticSOM
40
Emerging
kohonen
30
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 14/25
Maintenance 0/25
Adoption 2/25
Maturity 16/25
Community 12/25
Stars: 36
Forks: 6
Downloads: 23
Commits (30d): 0
Language: Rust
License: MIT
Stars: 2
Forks: 1
Downloads: —
Commits (30d): 0
Language: Rust
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About RusticSOM

avinashshenoy97/RusticSOM

Rust library for Self Organising Maps (SOM).

This is a Rust library for building Self-Organizing Maps (SOMs), a type of neural network. It takes in raw numerical data, like measurements of flowers or customer behavior, and organizes it onto a grid where similar data points are grouped together. This helps data scientists and machine learning engineers visualize complex datasets and identify underlying patterns.

data-clustering unsupervised-learning data-visualization machine-learning-engineering pattern-recognition

About kohonen

mlange-42/kohonen

A Self-organizing Maps (SOM) / Kohonen networks library and command line tool in Rust.

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