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Dev tools · alternatives · 2026

24 alternatives to I Wrote a Book on Data Analysis with Rust Notebooks

A practical book on Data Analysis with Rust Notebooks that teaches you the concepts and how they’re implemented in practice.

This is an educational resource for developers learning data analysis using Rust. The product combines a book with interactive Rust notebooks, providing hands-on examples and exercises for practical data analysis work.… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. I Wrote a Book on Data Analysis with Rust Notebooks launched in 2020; newer entries below may have overtaken it.

  1. 1IW

    https://www.manning.com/books/data-oriented-programming-in-j... This book is a distillation of everything I’ve learned about what effective development looks like in Java (so far!). It's about how to organize programs around data "as plain data" and the surprisingly benefits that emerge when we do. Programs that are built around the data they manage tend to be simpler, smaller, and significantly easier understand. Java has changed radically over the last several years. It has picked up all kinds of new language features which support data oriented programming (records,…

    2024 · its alternatives →

  2. 2

    Common data structures and algorithms in Rust. Contribute to EbTech/rust-algorithms development by creating an account on GitHub.

    2017 · github.com · its alternatives →

  3. 3

    Contribute to connorwstein/exchange development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  4. 4

    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 →

  5. 5
    Capalyze▲809

    ChatGPT for datavores: scrape → ask → visualize

    2025 · capalyze.ai · its alternatives →

  6. 6

    How to think about data

    2015 · amazon.com · its alternatives →

  7. 7

    Hi HN! A few months ago, EntICOnc shared a blog post I wrote about using Rust from the perspective of a Python developer [0] which was well received, with some positive as well as mixed feedback. One thing I didn’t foresee would happen, is this little post getting a lot of attention, especially from the data engineering crowd which I consider myself a part of. Looking at the feedback, it was clear that there are some resources missing for a specific use case for which I think Rust is a perfect candidate: Data Engineering. Currently, Data Engineering is dominated by languages like Java, Scala…

    2023 · datawithrust.com · its alternatives →

  8. 8

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

    2025 · github.com · its alternatives →

  9. 9

    2020 · paytonturnage.gitbook.io · its alternatives →

  10. 10SP

    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 →

  11. 11

    Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir - elixir-explorer/explorer

    2021 · github.com · its alternatives →

  12. 12

    Machine Learning library for Rust. Contribute to AtheMathmo/rusty-machine development by creating an account on GitHub.

    2016 · github.com · its alternatives →

  13. 13MB

    Beautiful Data Science

    2020 · shahinrostami.com · its alternatives →

  14. 14AL
  15. 15

    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 →

  16. 16

    A guide to aid you in your journey of becoming a Rustacean (Rust developer). - learn-rust-101/README.md at main · plabayo/learn-rust-101

    2023 · github.com · its alternatives →

  17. 17

    Applied offensive security with the Rust programming language

    2021 · academy.kerkour.com · its alternatives →

  18. 18

    Integrate is a fast, small, lightweight Rust library for performing numerical integration of real-valued functions. It is designed to integrate functions, providing a simple and efficient way to approximate definite integrals using various numerical methods. Integrate supports a variety of numerical integration techniques: - Newton-Cotes methods: - Rectangle Rule. - Trapezoidal Rule. - Simpson's Rule. - Newton's 3/8 Rule. - Gauss quadrature methods: - Gauss-Legendre. - Gauss-Laguerre. - Gauss-Hermite. - Gauss-Chebyshev First Kind. - Gauss-Chebyshev Second Kind. - Adaptive Methods: -…

    2024 · github.com · its alternatives →

  19. 19

    Most Rust books stop after ownership, this one builds a Redis clone.Zero to Rust goes from first principles to a concurrent, persistent TCP key-value store written entirely in Rust. 23 chapters. Every concept explained through code you can run, not theory you have to trust.Read the free 20-page samp

    Jul 2026 · shankhan3.gumroad.com · its alternatives →

  20. 20

    My friend and I have been collaborating on this lighthearted introduction to doing geospatial computation in rust. Don't know Rust? Don't know geospatial? I'd be interested to know what you think.

    2022 · book.georust.org · its alternatives →

  21. 21

    "Game" is a stretch, but I put together this repo containing a pure Rust app which uses SDL2 and compiles to WASM (and can be run in a browser). Older resources were a bit out of date and a bit too verbose for my purposes, so here's a minimal working example.

    2024 · github.com · its alternatives →

  22. 22

    Python library for embedding large graphs in 2D space, using force-directed layouts. - H4kor/graph-force

    2022 · github.com · its alternatives →

  23. 23

    Learn to build reliable and efficient software in Rust

    2022 · rustadventure.dev · its alternatives →

  24. 24

    A guide for anyone who works with data

    2017 · leanpub.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 →