Karate Club
Unsupervised machine learning library for NetworkX with Scikit-Learn like API.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
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
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Official documentation lacks comprehensive tutorials and real-world use cases
Does not support other graph libraries or formats out-of-the-box, limiting flexibility for diverse network data sources
Scalability issues reported when processing graphs with millions of nodes and edges
Low number of contributors and infrequent updates to the repository
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
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Karate Club
Step-by-step setup guide with code examples and common gotchas.