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Little Ball of Fur

Graph sampling extension library for NetworkX with Scikit-Learn like API.

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit 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

Look elsewhere if

  • Projects requiring real-time graph processing and analysis

  • Applications where the GPL-3.0 license is not compatible with project requirements

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited support for non-Python environments

    The library is built specifically on top of NetworkX and Python, limiting its use in other language ecosystems.

  2. 02

    Small community and limited external contributions

    GitHub repository shows low activity with few contributors and infrequent updates to the codebase.

  3. 03

    Potential performance bottlenecks for extremely large graphs

    Sampling techniques, while efficient, may still face scalability issues when dealing with very large graph datasets due to memory constraints.

What it does well

  • Scikit-Learn like API for ease of use

  • Efficient graph sampling techniques

  • Built on top of NetworkX for compatibility with existing workflows

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

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