Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/rust

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  • GitHub repo Apache Arrow

    Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

    Yes https://arrow.apache.org/

  • GitHub repo neuronika

    Tensors and dynamic neural networks in pure Rust.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • GitHub repo linfa

    A Rust machine learning framework.

  • GitHub repo arrow-datafusion

    Apache Arrow DataFusion and Ballista query engines

  • GitHub repo bacon

    Scientific Computing in Rust (by aftix)

  • GitHub repo statrs

    Statistical computation library for Rust

  • GitHub repo tangram

    Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

  • SonarQube

    Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.

  • GitHub repo Awesome-Rust-MachineLearning

    This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀

    There's also https://github.com/vaaaaanquish/Awesome-Rust-MachineLearning

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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