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Dev tools · alternatives · 2026

24 alternatives to DSAVInc

Interactive data structures & algorithms learning platform

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    🥞Data Structures and Algorithms explained and implemented in JavaScript + eBook - amejiarosario/dsa.js-data-structures-algorithms-javascript

    2019 · github.com · its alternatives →

  2. 2
    Alcamy▲550

    Free, open self-learning platform. Learn & teach anything.

    2017 · alcamy.org · its alternatives →

  3. 3

    Built this because I kept needing a quick sprite sheet tool while working on side projects and everything either required a download or had a paywall. It runs fully in the browser, no upload to a server, no login. Supports: - Packer mode: upload separate frame PNGs, reorder them, export as atlas + JSON - Slicer mode: upload an existing sheet, define rows/columns, split into frames - JSON metadata compatible with Phaser, custom WebGL renderers etc. Works with Unity and Godot workflows too. Would love feedback on what's missing.

    Nov 2025 · jaconir.online · its alternatives →

  4. 4

    Master data structures & algorithms

    2025 · learn-dsa.dev · its alternatives →

  5. 5

    Learn the foundations to be a full stack software engineer. 100% free.

    2020 · c0d3.com · its alternatives →

  6. 6

    I've been a longtime member @ HN, but I haven't been a developer. In fact, my only HN submission has been one asking how to learn to code (http://news.ycombinator.com/item?id=820741). My cofounder and I decided to solve the problem by making a simple, interactive way to get started with Codecademy. We'd love your feedback. If you're interested in helping us to get more courses up (on any topic!), please send us an email at [email protected].

    2011 · codecademy.com · its alternatives →

  7. 7

    Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…

    2025 · github.com · its alternatives →

  8. 8DA

    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 →

  9. 9

    Codecademy for Data Science

    2015 · dataquest.io · its alternatives →

  10. 10

    Data structures & algorithms flashcards

    2025 · its alternatives →

  11. 11

    🥞Data Structures and Algorithms explained and implemented in JavaScript + eBook - amejiarosario/dsa.js-data-structures-algorithms-javascript

    2019 · github.com · its alternatives →

  12. 12NL

    Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…

    2022 · its alternatives →

  13. 13

    Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…

    2022 · nlpdemystified.org · its alternatives →

  14. 14

    Problem Solving. Contribute to sangupta/ps development by creating an account on GitHub.

    2016 · github.com · its alternatives →

  15. 15

    Learn DSA Like a Game

    Jan 2026 · dsaquest.com · its alternatives →

  16. 16

    100% free and interactive Python course for beginners - alexmojaki/futurecoder

    2020 · github.com · its alternatives →

  17. 17

    Interactive Visualizations for Learning DSA

    Jun 2026 · dsasimulator.com · its alternatives →

  18. 18DA
  19. 19

    Two weeks ago I was on my babymoon in Corfu, Greece. While in transit, I was overseeing a GSoC intern submit an important feature to my array database library, Xarray-SQL. He added `to_dataset()`, which completed the roundtrip between thinking of array data in a tabular model simultaneously as gridded rasters (the premise of the project is that every Nd array can be mapped to 2d, where orthogonal dims of the Nd array are just primary keys of a tabular representation). We discussed in chat, now that this feature existed, what demos could we make that would prove this data model works? With…

    Jul 2026 · github.com · its alternatives →

  20. 20

    Visual explanations of Algorithms and Data structures

    2020 · chrislaux.com · its alternatives →

  21. 21

    I started writing this book 10 years ago in JavaScript, got through a few chapters (asymptotic notation, basic techniques, start of sorting), and then abandoned it. Recently I picked it back up, converted everything to TypeScript, and used AI (Zenflow [1] + Claude Opus 4.6) to complete the remaining chapters. I provided the structure, direction, and initial chapters; the AI generated the bulk of the remaining content under a spec-driven workflow. The book covers roughly a first 1-2 year CS curriculum: sorting, dynamic programming, graph algorithms, trees, heaps, hash tables, and more. All…

    Mar 2026 · amoilanen.github.io · its alternatives →

  22. 22

    Data Structures & Algorithms Made Simple

    Aug 2026 · dsafeed.com · its alternatives →

  23. 23

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

    2020 · github.com · its alternatives →

  24. 24

    A container for dataclasses with multi-indexing and bulk operations. - joshlk/dataclassframe

    2020 · github.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 →