Alternatives
Products that do what Construct YAML from a Directory Tree does
- 1LB
2021 · lowdefy.com
- 2GD
2016 · github.com
- 3OD
2018 · github.com
- 4SS
2015 · maxcdn.github.io
- 5YC
2019 · yaml2go.prasadg.dev
- 6EY
2019 · github.com
- 7DA
2020 · starsheep.io
- 8FF
2024 · github.com
- 9GT
2014 · tomiaijo.github.io
- 10PE
2017 · pollly.orson.io
- 11PG
2020 · github.com
- 12AC
2017 · github.com
- 13YY
2017 · github.com
- 14LA
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
- 15FS
2013 · github.com
- 16AO
2019 · tree.nathanfriend.io
- 17PE
2021 · github.com
- 18CA
2015 · github.com
- 19GR
2014 · gitframe.com
- 20YV
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
- 21QT
2019 · github.com
- 22BL
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
- 23FM
2016 · github.com
- 24WR
2018 · github.com
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