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Dev tools · alternatives · 2026

24 alternatives to Little Ball of Fur – A Python library for graph subsampling

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020) - benedekrozemberczki/littleballoffur

Little Ball of Fur is a Python library that enables graph subsampling, allowing developers to reduce the size of large graphs while preserving their essential properties. It provides various algorithms for sampling… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Little Ball of Fur – A Python library for graph subsampling launched in 2020; newer entries below may have overtaken it.

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    Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) - benedekrozemberczki/karateclub

    2020 · github.com · its alternatives →

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    Hi everyone, I recently published a small open-source project. It’s a minimal network packet analyzer written in Go — designed more like a learning toy than a replacement for Wireshark. It currently supports parsing basic protocols like TLS, DNS, and HTTP, and includes a tiny fuzzing engine to test payload responses. You can inspect raw packet content directly from the terminal. The output is colored for readability, and the code structure is kept simple and clear. The entire program is very small — just about 400 lines of Go code. I know it’s not anywhere near Wireshark’s level, and I still…

    2025 · github.com · its alternatives →

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    We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…

    2025 · blog.kuzudb.com · its alternatives →

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    Embedded graph memory for AI agents, mobile apps, and the browser. - project-minigraf/minigraf

    18d ago · github.com · its alternatives →

  5. 5

    A distributed, fast open-source graph database featuring horizontal scalability and high availability - GitHub - vesoft-inc/nebula: A distributed, fast open-source graph database featuring horizontal scalability and high availability

    2020 · github.com · its alternatives →

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    Python library for embedding large graphs in 2D space, using force-directed layouts. - H4kor/graph-force

    2022 · github.com · its alternatives →

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    A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.

    Sep 2026 · tinybrains.dev · its alternatives →

  8. 8

    I believe the best way to learn a language is by doing an in-depth project. This is my first Zig project intended for learning the ropes on publishing a Zig package. It turns out to be quite solid and performant. It might be a bit over-engineered. This little library is packed with the following features: - Building dependency graph from dependency data. - Performing topological sort on the dependency graph. - Generating dependence-free subsets for parallel processing. - Cycle detection and cycle reporting.

    2025 · github.com · its alternatives →

  9. 9

    Python stream processing for humans. Contribute to omegaml/minibatch development by creating an account on GitHub.

    2020 · github.com · its alternatives →

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    HypergraphZ – directed hypergraph library in Zig with Python bindings - yamafaktory/hypergraphz

    2024 · github.com · its alternatives →

  12. 12

    A graph-based functional API for building complex scikit-learn pipelines. - alegonz/baikal

    2020 · github.com · its alternatives →

  13. 13

    Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process…

    2023 · github.com · its alternatives →

  14. 14

    I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…

    2023 · github.com · its alternatives →

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    Hi all! I'm one of the developers that were working on this project for some time. In recent months, users started to ask us more frequently about the ability to run algorithms on a part of graph stored in database - subgraph. Now to do this, we extended the implementation of C API we had and brought to you the graph project feature that enables running algorithms on a specific subset of a graph stored in the database. You can now do graph analysis with PageRank, degree centrality, betweenness centrality, or any other algorithm on subgraphs without any additional adjustments. Before you had…

    2022 · its alternatives →

  18. 18

    Composable, first-order file-to-file transformations in Python - evinism/TinyBaker

    2020 · github.com · its alternatives →

  19. 19

    HypergraphZ – directed hypergraph library in Zig with Python bindings - yamafaktory/hypergraphz

    2024 · github.com · its alternatives →

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    A minimalist deep learning library written from scratch in Python - sradc/SmallPebble

    2021 · github.com · its alternatives →

  21. 21TC

    Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!

    Jun 2026 · atomprophet.io · its alternatives →

  22. 22

    CogDB is an open source, persistent embedded graph database for Python with zero setup. Store relationships as triples, run vector similarity search with SIMD acceleration, and query using Torque – a fluent Python API. No server, no setup.

    2022 · cogdb.io · its alternatives →

  23. 23

    A collection of important graph embedding, classification and representation learning papers with implementations. - benedekrozemberczki/awesome-graph-classification

    2020 · github.com · its alternatives →

  24. 24

    A simple re-implementation of Google's sparsehash as a learning excercise. - qpfiffer/Simple-Sparsehash

    2015 · github.com · its alternatives →

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