AI · alternatives · 2026

24 alternatives to Spektral – Deep learning on graphs with Keras

Graph Neural Networks with Keras and Tensorflow 2. - danielegrattarola/spektral

Spektral is a Python library for building deep learning models on graph-structured data using Keras. It provides tools and utilities for working with graphs in machine learning applications. The library is designed for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Spektral – Deep learning on graphs with Keras launched in 2019; newer entries below may have overtaken it.

1. 1AL
   A library to build graph neural networks in Keras▲8

   Spektral: Graph Neural Networks in TensorFlow 2 and Keras

   2019 · danielegrattarola.github.io · its alternatives →

2. 2
   TensorFlow 1.0▲823

   Open-source machine learning library by Google

   2017 · tensorflow.org · its alternatives →

3. 3
   Applying the Unix philosophy to neural networks▲251

   Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.

   2019 · github.com · its alternatives →

4. 4
   Set of trained deep learning models for computer vision▲127

   Keras code and weights files for popular deep learning models. - fchollet/deep-learning-models

   2016 · github.com · its alternatives →

5. 5
   A graph-based functional API for building complex sklearn pipelines▲77

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

   2020 · github.com · its alternatives →

6. 6
   TensorFlow 1.0▲80

   Open-source machine learning library by Google

   2018 · tensorflow.org · its alternatives →

7. 7
   Gradient°▲191

   Deep learning platform built for developers

   2018 · paperspace.com · its alternatives →

8. 8
   Comprehensive Tutorials in Deep Learning Using TensorFlow▲327

   :satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow

   2018 · github.com · its alternatives →

9. 9
   MakeML▲274

   Train Neural Networks without a line of code

   2019 · makeml.app · its alternatives →

10. 10
    Deep Learning in TensorFlow – The Roadmap for Study and Learning▲146

    :satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources

    2019 · github.com · its alternatives →

11. 11
    I built a deep learning engine from scratch in Python▲30

    I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…

    2025 · github.com · its alternatives →

12. 12
    Deep Learning Python Library for Stock Market Prediction and Modelling▲44

    :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling - GitHub - achillesrasquinha/bulbea: :boar: Deep Learning based Python Library for Stock Market Prediction and Modelling

    2017 · github.com · its alternatives →

13. 13GC
    Graph Convolutional Networks – Intro to neural networks on graphs▲106

    Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...

    2016 · tkipf.github.io · its alternatives →

14. 14
    I wrote a minimal deep learning library from scratch in Python▲25

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

    2021 · github.com · its alternatives →

15. 15AW
    Autopilot written in Keras for Self Driving Cars▲144

    student, nomad in machine learning

    2019 · littlemountainman.github.io · its alternatives →

16. 16
    Sonnet▲134

    A new library for constructing neural networks from DeepMind

    2017 · deepmind.google · its alternatives →

17. 17
    Visual Search using features extracted from Tensor Flow inception model▲75

    2016 · github.com · its alternatives →

18. 18
    Bender – a Deep Learning framework for iOS▲81

    Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood. - xmartlabs/Bender

    2017 · github.com · its alternatives →

19. 19
    Neural networks tutorial series with code▲107

    The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.

    2020 · github.com · its alternatives →

20. 20
    Layered – Neural Networks in Python 3▲56

    Clean implementation of feed forward neural networks - danijar/layered

    2015 · github.com · its alternatives →

21. 21
    Deep Learning With Keras▲6

    Deep Learning With Keras And Convolutional Neural Networks

    2018 · amazon.com · its alternatives →

22. 22
    KGCNs – Machine Learning over Knowledge Graphs with TensorFlow▲10

    2019 · github.com · its alternatives →

23. 23
    Javascript face recognition game using TensorFlow▲62

    :cat: Take kemono pictures and lines up 3, then tanoshii - icoxfog417/kemono_puyo

    2017 · github.com · its alternatives →

24. 24
    Neural Network Evolution Playground with Backprop NEAT▲73

    2016 · blog.otoro.net · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →