Karate Club

Unsupervised machine learning library for NetworkX with Scikit-Learn like API.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Karate Club?

Karate Club is an unsupervised machine learning extension library for NetworkX, providing a Scikit-Learn like API. It enables developers and data scientists to perform advanced network analysis tasks efficiently.

Key differentiator

Karate Club stands out as an open-source library providing specialized unsupervised learning algorithms for network analysis, integrated seamlessly with NetworkX and Scikit-Learn.

Capability profile

Strength Radar

Scikit-Learn lik…Unsupervised lea…Integration with…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Scikit-Learn like API for ease of use

Unsupervised learning algorithms tailored for network data

Integration with NetworkX for graph analysis

Fit analysis

Who is it for?

✓ Best for

Researchers working on network science who need advanced unsupervised learning techniques

Data scientists performing graph analysis with a focus on community detection and embedding

✕ Not a fit for

Projects requiring real-time processing of streaming graph data

Applications that require proprietary or closed-source software due to licensing constraints

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with Karate Club

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →