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Alternatives

Products that do what Minimalist self-hosted CI server written on Raku does

Sparky is a flexible and minimalist continuous integration server and distribute tasks runner written in Raku. https://github.com/melezhik/sparky

  1. 1SA
  2. 2AO
  3. 3
    KORE.io88

    A fast SPDY capable web server for web development in C

    2015

  4. 4BS
  5. 5

    Create and manage full-stack micro-apps with AI prompts

    2024

  6. 6SM

    2016 · blog.leveros.com

  7. 7KD

    I've built this to make it easy to host your own infra for lightweight VMs at large scale. Intended for exec of AI-generated code, for CICD runners, or for off-chain AI DApps. Mainly to avoid Docker-in-Docker dangers and mess. Super easy to use with CLI / Python SDK, friendly to AI engs who usually don't like to mess with VM orchestration and networking too much. Defense-in-depth philosophy. Would love to get feedback (and contributors: clear & exciting roadmap!), thx

    Oct 2025 · github.com

  8. 8
    Dokku90

    Docker powered mini-Heroku in around 100 lines of Bash

    2015

  9. 9
    Spark85

    Build internet-connected hardware.

    2014

  10. 10KA
  11. 11SS
  12. 12

    A streaming engine for huge 3D Gaussian worlds

    Apr 2026

  13. 13AO
  14. 14WM
  15. 15KS
  16. 16HI
  17. 17SH
  18. 18SC

    2015 · github.com

  19. 19MW
  20. 20SS

    2014 · sparkschool.co

  21. 21PS
  22. 22SA

    Hey folks, I figured this might be useful for a few people who want to play with hadoop and spark locally. Feedback hugely appreciated. I built this from the pain of wanting to setup a cluster for demos. I have gpu bits in there due to the use case but figured maybe some could draw inspiration from this. Happy to answer questions if there's any interest. Link here: https://github.com/deeplearning4j/docker

    2016

  23. 23SA

    Hi HN, we’re Jessie and Eric. We’ve been baking away at Cakework (https://www.cakework.com/), which is a way to build async backends without needing to manage cloud infrastructure. Cakework is for operations that take time or more compute, like file processing, report generation, or machine learning. Devs write backends as Python functions and deploy them with our CLI. They use our client SDKs to make requests, get status, and get processing results. Each request runs with its own CPU and memory parameters in its own microVM, with no timeouts. Devs can query for failures and…

    2023 · cakework.com

  24. 24IM

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