fuku-ml
Simple ML library for beginners with easy-to-use algorithms.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is fuku-ml?
fuku-ml is a straightforward machine learning library that includes various algorithms like Perceptron, Regression, SVM, and Decision Trees. It's designed to be accessible for beginners who are looking to learn and apply basic machine learning techniques easily.
Key differentiator
“fuku-ml stands out as a lightweight, beginner-friendly library with easy-to-understand implementations of common machine learning algorithms.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The library only includes basic algorithms such as Perceptron, Regression, SVM, and Decision Trees, lacking advanced techniques like neural networks or ensemble methods.
Documentation lacks detailed examples and explanations for each algorithm's parameters and usage scenarios.
The project has a limited number of contributors, resulting in infrequent updates and fewer bug fixes or feature additions.
fuku-ml does not include functionality to distribute computations across multiple machines, which limits scalability for large datasets.
Fit analysis
Who is it for?
✓ Best for
Educators looking for a simple library to teach basic machine learning concepts
Students and beginners who want an easy-to-understand implementation of common algorithms
Small projects where quick setup and simplicity are more important than advanced features
✕ Not a fit for
Projects requiring complex or state-of-the-art ML models that need extensive tuning and customization
Large-scale production environments where performance optimization is critical
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with fuku-ml
Step-by-step setup guide with code examples and common gotchas.