Little Ball of Fur
Graph sampling extension library for NetworkX with Scikit-Learn like API.
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—Overview
What is Little Ball of Fur?
Little Ball of Fur is a graph sampling extension library built on top of NetworkX, offering a user-friendly interface similar to Scikit-Learn. It simplifies the process of working with large graphs by providing efficient sampling techniques.
Key differentiator
“Little Ball of Fur stands out by providing a Scikit-Learn like API for graph sampling, making it easier to integrate into existing machine learning workflows compared to other libraries.”
Capability profile
Strength Radar
Honest assessment
Strengths & Weaknesses
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Who is it for?
✓ Best for
Researchers working with large graph datasets who need efficient sampling techniques
Data scientists looking to apply machine learning on sampled graph data
Developers building applications that require handling of large network graphs
✕ Not a fit for
Projects requiring real-time graph processing and analysis
Applications where the GPL-3.0 license is not compatible with project requirements
Cost structure
Pricing
Free Tier
None
Starts at
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Get Started with Little Ball of Fur
Step-by-step setup guide with code examples and common gotchas.