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Alternatives

Products that do what Skeleton Systems does

100% done-for-you custom libraries for your API

  1. 1GA

    PS: Assuming a REST architecture.

    2014 · github.com

  2. 2

    Recreate your favorite developer tools from scratch

    2023

  3. 3

    Build scalable APIs in Node.js platform

    2016

  4. 4

    A solid template for building on Kubernetes, Node and React

    2020

  5. 5
    Bedrock257

    Full-stack Next.js & GraphQL boilerplate for SaaS products

    2021

  6. 6

    Free, customizable SVG skeleton loader UI elements

    2023

  7. 7
    Slate222

    Beautiful static documentation for your API

    2016

  8. 8

    An interactive design system built in ProtoPie

    2022

  9. 9

    Link your app design to API calls

    2022

  10. 10

    Create web applications in a few clicks 💻

    2019

  11. 11

    Create beautiful powerful documentation, hassle-free.

    2018

  12. 12

    Run your favourite programming languages online

    2019

  13. 13
    CodeGuide126

    Generate PRDs, specs and wireframes your AI understands.

    Mar 2026

  14. 14

    Generate your C# codebase and bootstrap your project set-up

    2021

  15. 15GB
  16. 16BI
  17. 17MC

    multilspy is a cross-platform library designed to simplify the process of creating language server clients to query and obtain results of various static analyses from a wide variety of language servers that communicate over the Language Server Protocol. It is easily extensible to support any language that has a Language Server and currently supports Java, Rust, C# and Python. We aim to continuously add support for more language servers and languages. Language servers are tools that perform a variety of static analyses on code repositories and provide useful information such as type-directed…

    2024 · github.com

  18. 18IB

    Link: https://docs.trysoma.ai/ For the past ~9 months I’ve been building Soma, an open-source AI agent & workflow runtime written in Rust, with a TypeScript SDK (Python coming soon). It’s not a framework; it’s meant to sit underneath whatever agent/tooling code you already write (Vercel AI SDK, LangChain, custom code, etc.). It provides features around your framework + a better DX for building agents. I’ve tried to take a Next.JS model: open-source, good DX, self-deployable. I originally set out to build a vertical back-office/operations product for SMEs. I needed a…

    Dec 2025 · docs.trysoma.ai

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    Hi All, I felt like I was re-inventing the wheel by bolting similar channel architectures onto different Go structs repeatedly so I decided to extract some common types into into one library so that they would be easier to re-use: - oneshot - spsc - spmc - mpsc - mpmc - broadcast - watch The types are inspired by Rust channels so if you're coming from Rust they should feel familiar. So far I'm really enjoying using them but it'd be great to get some external feedback if you have time! https://github.com/amorey/gochan Andres

    May 2026 · github.com

  22. 22FT

    Hi HN, I’ve been building 'Fragno', a toolkit for building full-stack TypeScript libraries that work seamlessly across frameworks like Next.js and SvelteKit. Traditional libraries are built to integrate on either the frontend or backend. Glue code ends up being re-implemented for every project: API routes, documentation (OpenAPI), client-side integration, etc. With Fragno, you can write libraries that include API routes and client-side hooks/logic. Users can integrate a Fragno library into their application with just a couple of lines of code. This embeds the API routes and lets them…

    Oct 2025 · fragno.dev

  23. 23

    You write a standard solution, just like on LeetCode, and run it through the CLI. It identifies the problem by ID or title, executes your code against local test cases, and shows the result. It currently supports around 1000 problems and multiple languages, including Python, C++, Rust, Java, Go, TypeScript, Swift, and others. The project is still an MVP. System design, SQL, and concurrency problems are not supported yet, but support for more problem types is planned. Made in Haskell!

    25d ago · github.com

  24. 24GR

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