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Dev tools · alternatives · 2026

24 alternatives to An Open-Source Data Science Curriculum

The Open Source Data Science Masters. Contribute to datasciencemasters/go development by creating an account on GitHub.

An Open-Source Data Science Curriculum is a freely available educational resource for learning data science, hosted on GitHub. It serves students and professionals seeking structured guidance in data science… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. An Open-Source Data Science Curriculum launched in 2014; newer entries below may have overtaken it.

  1. 1
    Dataquest▲139

    Online data science and programming training

    2019 · dataquest.io · its alternatives →

  2. 2

    Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…

    Feb 2026 · github.com · its alternatives →

  3. 31G
  4. 4

    A curation of free data science resources

    2023 · datapen.io · its alternatives →

  5. 5

    An intro to Python & programming for wanna-be data scientists - webartifex/intro-to-python

    2020 · github.com · its alternatives →

  6. 6SP

    Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…

    2020 · its alternatives →

  7. 7

    Making open source data science easy

    2015 · its alternatives →

  8. 8OD
  9. 9

    When startups should use data science and how

    2016 · cf-media.sndcdn.com · its alternatives →

  10. 10DA

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020 · its alternatives →

  11. 11

    The Internet’s First All-in-One Data Science Program

    2018 · 365datascience.com · its alternatives →

  12. 12
    Jovian▲252

    Learn Data Science and ML with free hands-on online courses

    2020 · jovian.com · its alternatives →

  13. 13
    Magniv▲100

    One line data science infra, Open-Source Python library

    2022 · its alternatives →

  14. 14

    No code Data Science in your browser

    2022 · wedodatascience.com · its alternatives →

  15. 15

    Codecademy for Data Science

    2015 · dataquest.io · its alternatives →

  16. 16
    GoLearn▲81

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

    2014 · github.com · its alternatives →

  17. 17

    Learn data science with a mentor.

    2014 · mysliderule.com · its alternatives →

  18. 18

    A guide for anyone who works with data

    2017 · leanpub.com · its alternatives →

  19. 19

    With the OpenDataDiscovery Platform, you can collect metadata from any data source, regardless of format or location. This powerful platform provides data discovery, observability, and trust for your entire data pipeline.

    2022 · opendatadiscovery.org · its alternatives →

  20. 20

    Video discussing this curriculum:. Contribute to ForrestKnight/open-source-cs development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  21. 21

    Hey HN! We’re Jorge and Will from Lotas (https://www.lotas.ai/), and we’ve built Erdos, a secure AI-powered data science IDE that’s fully open source (https://www.lotas.ai/erdos). A few months ago, we shared Rao, an AI coding assistant for RStudio (https://news.ycombinator.com/item?id=44638510). We built Rao to bring the Cursor-like experience to RStudio users. Now we want to take the next step and deliver a tool for the entire data science community that handles Python, R, SQL, and Julia workflows. Erdos is a fork of VS Code designed for data…

    Oct 2025 · lotas.ai · its alternatives →

  22. 22

    Data Science and Python, starting at zero

    2015 · joelgrus.com · its alternatives →

  23. 23

    Curated courses list for complete beginner

    2018 · docs.google.com · its alternatives →

  24. 24

    How to think about data

    2015 · amazon.com · its alternatives →

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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 →