Life & fun · alternatives · 2026

24 alternatives to Decision Trees and Random Forests

A Visual Introduction For Beginners

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Decision Trees and Random Forests launched in 2017; newer entries below may have overtaken it.

1. 1
   Machine Learning▲77

   A visual guide for beginners

   2017 · its alternatives →

2. 2PM
   Python Machine Learning – A Crash Course▲350

   2019 · github.com · its alternatives →

3. 3DT
   Decision Tree Classifiers Explained▲6

   2020 · programmerbackpack.com · its alternatives →

4. 4
   Bayes Theorem▲65

   A beginners visual approach to Bayesian data analysis

   2017 · its alternatives →

5. 5
   Machine Learning for Absolute Beginners▲12

   A Plain English Introduction to Machine Learning

   2017 · its alternatives →

6. 6AV
   A Visual and Interactive Guide to the Basics of Neural Networks▲63

   2016 · jalammar.github.io · its alternatives →

7. 7GB
   Graph-based notebook for data scientists and researchers▲171

   2018 · amie.ai · its alternatives →

8. 8IT
   Intro to Machine Learning in Interactive D3.js Visualizations▲128

   2015 · r2d3.us · its alternatives →

9. 9
   Machine Learning▲6

   A Hands-On, Project-Based Introduction to Machine Learning

   2017 · its alternatives →

10. 10
    Machine Learning▲1

    A Visual Beginners Guide to Machine Learning with Python

    2017 · its alternatives →

11. 11BA
    Brancher – A user-friendly PyTorch module for probabilistic inference▲96

    2019 · brancher.org · its alternatives →

12. 12MT
    MonkeyLearn – Text Mining Made Easy▲40

    2015 · monkeylearn.com · its alternatives →

13. 13SP
    Sortraits, Portraits of Sorting Algorithms▲132

    2019 · wtracy.gitlab.io · its alternatives →

14. 14
    R2D3▲5

    A Visual Introduction to Machine Learning

    2017 · its alternatives →

15. 15KA
    Kooba, an interactive graph for finding new books▲145

    2017 · koob.jake.run · its alternatives →

16. 16PL
    Python library for learning binarytrees▲112

    2018 · github.com · its alternatives →

17. 17
    Deep Learning▲67

    The textbook for modern machine learning

    2016 · its alternatives →

18. 18BR
    Basic Randomized Decision Forest (C++) that reaches 96.5% on MNIST▲9

    2019 · bertolami.com · its alternatives →

19. 19
    WhatTheFIsML▲110

    An illustrated guide to understanding Machine Learning

    2016 · its alternatives →

20. 20GC
    Graph Convolutional Networks – Intro to neural networks on graphs▲106

    2016 · tkipf.github.io · its alternatives →

21. 21PD
    Public Datasets for Machine Learning▲26

    2017 · medium.com · its alternatives →

22. 22
    Open University Data▲83

    Data driven approach to university selection

    2017 · its alternatives →

23. 23ML
    Machine learning basics with jupyter notebooks▲15

    2018 · github.com · its alternatives →

24. 24QM
    QuadTree model for generating random road networks▲46

    2018 · github.com · 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 →