Alternatives
Products that do what I built a backend so simple that it fits in a YAML file does
- 1LB
2021 · lowdefy.com
- 2IB
2021 · multy.me
- 3EA
eno [1] - A modern plaintext language w/ libraries [2] for JavaScript, Python, Ruby & soon more! We migrated a big relational research database to a file-based solution - requirements were: - Super fast and easy editability for users - Highest performance for parsing/validating >10K documents on every user change. Our trials with YAML/TOML showed us that we wanted something both faster [3][4] and easier [4], something tailored for file-based content management ... and after months of research & development it's now publicly available (under MIT license) for everyone! Last but…
2018
- 4IB
2021 · kdab.com
- 5IB
2013 · oembed.io
- 6CY
2019 · github.com
- 7IT
2016 · github.com
- 8IB
2020 · dip-lang.org
- 9GD
2016 · github.com
- 10IS
Everything that would be here is in the README. I hope this gets big, it has tons of potential.
2013 · github.com
- 11IM
2013 · skr.io
- 12PG
2020 · github.com
- 13IM
2022 · getquickbase.com
- 14BL
Hello everyone! I am Jan, CTO and one of the creators of Pathway, the real-time data processing framework. I’m excited to share Pathway’s ready-to-use AI Pipelines, configurable with just YAML! These frameworks offer out-of-the-box solutions for AI search, RAG, and more—optimized for real-time indexing and in-memory processing. What makes it simple? YAML templates! The pipeline templates are fully customizable using YAMLs to fit your needs, from changing the data sources to the choice of the LLM model, all without touching Pathway’s Python code. Thanks to the Pathway data processing engine,…
2024 · pathway.com
- 15IM
2020 · vivpage.com
- 16GR
2014 · gitframe.com
- 17IB
2023 · lineone.dev
- 18FF
2024 · github.com
- 19YY
2017 · github.com
- 20MF
2012 · docs.dokeeno.com
- 21HA
Demo starts at 50m into the video. This was a bit terrifying to record because 2am the previous night everything was totally broken after a major refactor (so that we could add external LLM support as well as local GPUs). But pressure can be a useful force :-D We start with a stack deployed on my laptop without a GPU, pointing to together.ai so we can run open source LLMs easily without having to have access to a GPU. We show simple inference through the ChatGPT-like web interface (with users, sessions etc) and then simple drag'n'drop RAG. Then we show some helix apps defined as yaml: Marvin…
2024 · youtube.com
- 22YV
Hi HN, I made a tiny tool called YAML Validator that checks your YAML files with one Docker command — no installs, no setup, no excuses. It does: - Syntax checks - yamllint linting - checkov security scanning - All in one lightweight, zero-config container --------------------------------------------------------- How to use: docker run -v "$(pwd):/data" pooyanazad/yaml-checker Optional alias (for .bashrc / .zshrc): alias ytest='docker run -v "$(pwd):/data" pooyanazad/yaml-checker' Then simply call: ytest sample.yaml YAML powers CI/CD, configs, infra ,and…
Nov 2025
- 23CC
We're two engineers that got fed up with context switching. Why do we need to do a git push, open a browser tab, wait for some task to actually start, bite nails (or read HackerNews) for 10 minutes or more while dependencies are being installed for the 100th time and finally end up with an invalid YAML error. And for some reason this usually happens in the final stage of the pipeline leading up to the inevitable git commits "Fixed", "Fixed again", "Test", "Really fixed this time". We can do better. We set out to build Zippy. A CI/CD system that works from your terminal. No context…
Mar 2026 · zippy.sh
- 24LA
You build LLM applications with YAML files, that define an execution graph. Nodes can be either LLM API calls, regular function executions or other graphs themselves. Because you can nest graphs easily, building complex applications is not an issue, but at the same time you don't lose control. The YAML basically states what are the tasks that need to be done and how they connect. Other than that, you only write individual python functions to be called during the execution. No new classes and abstractions to learn.
2024 · github.com
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