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This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • umap

    Uniform Manifold Approximation and Projection

  • side note: instead of t-SNE consider UMAP - provides better results (and it's much faster) https://github.com/lmcinnes/umap

  • stellar-core-go

    This project is an implementation of the Stellar-Core Protocol (SCP) in Go.

  • Go's got an awesome feature set built in to the language for building small networked services. I implemented a client to a cryptocurrency network to extract information about its status and clients. I can't really express why it's so good, it just feels right.

    Same for Ruby, the syntax is perfectly suited for transforming, digging through and acting upon data. I didn't even add a Gemfile, only used standard library functions, transforming the data the Go program mined into usable information serialized in JSON which was subsequently used as a static database for a webpage.

    You can find the source here: https://github.com/tinco/stellar-core-go, the Go is in cmd and the Ruby is in tools.

    The site it powers is now defunct, apparently they changed some stuff in the past 3 years and the crawler no longer functions.

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

    SurveyJS logo
  • squoosh

    Make images smaller using best-in-class codecs, right in the browser.

  • The Squoosh (web) app is awesome for this too! All processing is done locally with wasm.

    https://squoosh.app

  • RasterFairy

    The purpose of Raster Fairy is to transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood relations that were present in the original cloud. A typical use case is if you have a similarity clustering of images and want to show the images in a regular table structure.

  • You can use t-SNE (or even better: UMAP or one of its variation) to create a 2D points cloud, and then use something like RasterFairy [1] to map 2D positions to the cells a grid. It usually works well.

    [1] https://github.com/Quasimondo/RasterFairy

  • utterances

    :crystal_ball: A lightweight comments widget built on GitHub issues

  • So, essentially a site generated with Jekyll, hosted on GitHub Pages with Utterances [0] for comments and updated with GitHub Actions.

    I don’t know if https://github.dev version of Visual Studio Code supports extensions/plugins, but if so, then there is also a rich text editor for markdown ready.

    All that’s left would be an instant refresh for editing.

    [0]: https://utteranc.es

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
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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