AI · alternatives · 2026

24 alternatives to Machine learning basics with jupyter notebooks

python notebooks for revising machine learning basics - paruby/ml-basics

Machine Learning Basics with Jupyter Notebooks is an educational resource for learning machine learning fundamentals using Jupyter Notebooks. Hosted on GitHub, it provides practical, hands-on tutorials and code… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Machine learning basics with jupyter notebooks launched in 2018; newer entries below may have overtaken it.

1. 1ML
   Machine learning cheat sheet▲166

   2011 · eferm.com · its alternatives →

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

   :speech_balloon: Machine Learning Course with Python: - GitHub - instillai/machine-learning-course: :speech_balloon: Machine Learning Course with Python:

   2019 · github.com · its alternatives →

3. 3
   ML From Scratch – free online textbook▲259

   2020 · dafriedman97.github.io · its alternatives →

4. 4
   Jupyter4kids – Notebooks to help teach kids principles of programming▲147

   Learning numerical computing with notebooks for all ages. - eka-foundation/numerical-computing-is-fun

   2017 · github.com · its alternatives →

5. 5AL
   A little notebook for learning linear algebra with Python▲190

   2025 · little-book-of.github.io · its alternatives →

6. 6
   MindsDB▲235

   In-database machine learning

   2022 · its alternatives →

7. 7
   Real world (Jupyter notebook embed) way to assess data scientists▲134

   2019 · hackerrank.com · its alternatives →

8. 8
   Render Jupyter notebooks as interactive articles▲217

   Notebooks for data scientists and data analysts.

   2021 · deepnote.com · its alternatives →

9. 9
   Homemade Machine Learning▲7

   Python examples with interactive demos

   2018 · github.com · its alternatives →

10. 10
    WASM-powered codespaces for Python notebooks on GitHub▲204

    Hi HN! Last year, we shared marimo [1], an open-source reactive notebook for Python with support for execution through WebAssembly [2]. We wanted to share something new: you can now run marimo and Jupyter notebooks directly from GitHub in a Wasm-powered, codespace-like environment. What makes this powerful is that we mount the GitHub repository's contents as a filesystem in the notebook, making it really easy to share notebooks with data. All you need to do is prepend 'marimo.app' to any Python notebook on GitHub. Some examples: - Jupyter Notebook:…

    2025 · docs.marimo.io · its alternatives →

11. 11
    GoLearn▲81

    Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.

    2014 · github.com · its alternatives →

12. 12
    Adding Mistral Codestral and GPT-4o to Jupyter Notebooks▲269

    Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…

    2024 · github.com · its alternatives →

13. 13
    ML Kit (by Google)▲195

    Machine learning for mobile developers

    2018 · developers.google.com · its alternatives →

14. 14KA
    Kyso – an easy way to share Jupyter notebooks▲117

    Hi HN, We're the founders of https://kyso.io We want to make it really easy to share data-science within teams, and we've started with Jupyter notebooks. We render the notebooks really nicely, so you can embed interactive visualisations like Bokeh, and Plotly plots. Another nice thing is we allow you to hide the code for non-technical readers, so you basically get a beautiful data blog. Look at https://kyso.io/laura/ for some examples. We really want to hear your feedback, let us know what you think!

    2017 · its alternatives →

15. 15
    ML5.js▲249

    Friendly machine learning for the web

    2018 · ml5js.org · its alternatives →

16. 16
    StackML▲252

    Machine Learning platform in-browser, for creators

    2019 · its alternatives →

17. 17
    How to analyse 100 GB of data on your laptop with Python▲264

    Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

    2019 · towardsdatascience.com · its alternatives →

18. 18
    Build Machine Learning Web-Service with Python and Django▲67

    My Machine Learning Web Service. Contribute to pplonski/my_ml_service development by creating an account on GitHub.

    2020 · github.com · its alternatives →

19. 19
    MakeML▲274

    Train Neural Networks without a line of code

    2019 · makeml.app · its alternatives →

20. 20
    Low code Jupyter Notebook alternative with dashboards▲37

    Interactive Computing for Humans. Contribute to herqooly/herqooly development by creating an account on GitHub.

    2020 · github.com · its alternatives →

21. 21
    Deepnote▲221

    A data science notebook for teams

    2020 · its alternatives →

22. 22
    Lime AI▲89

    Create Jupyter notebooks with AI

    2023 · datalimeai.com · its alternatives →

23. 23MW
    Mito – Write Python/Pandas faster by editing a spreadsheet, in Jupyter▲101

    Mito is AI for your Jupyter Notebook workflow. Use the Jupyter Agent, SQL, Database Connections, and Streamlit Apps for EDA and automations.

    2021 · trymito.io · its alternatives →

24. 24
    Python Machine Learning▲80

    Learning machine learning has never been easier

    2017 · amazon.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 →