Alternatives

Products that do what CRML does

CRML is a declaritive language for writing cyberrisk as code

1. 1
   CRML Code▲18

   The AI CLI for CRML practitioners.

   Mar 2026

2. 2
   CSML Playground▲137

   Play with CSML, the programming language for chatbots

   2021

3. 3EA
   Eno – A lightning fast, user-friendly YAML/TOML alternative▲102

   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

4. 4
   OrchestraML▲82

   From English prompt to deployed ML model with human approval

   Jun 2026 · orchestra-ml.vercel.app

5. 5SG
   SapientML – Generative AutoML for Tabular Data▲82

   2023 · github.com

6. 6
   StackML▲252

   Machine Learning platform in-browser, for creators

   2019

7. 7
   Obviously AI AutoML▲276

   The fastest, most precise no-code AI in the world.

   2020

8. 8SM
   SpotML – Managed ML Training on Cheap AWS/GCP Spot Instances▲157

   2021 · spotml.io

9. 9PD
   Pipelex – Declarative language for repeatable AI workflows▲122

   We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…

   Oct 2025 · github.com

10. 10LB
    Lowdefy – Build internal tools with YAML on an open-source framework▲107

    2021 · lowdefy.com

11. 11SO
    Structured output from LLMs without reprompting▲174

    Built a tool for transforming unstructured data into structured outputs using language models (with 100% adherence). If you're facing problems getting GPT to adhere to a schema (JSON, XML, etc.) or regex, need to bulk process some unstructured data, or generate synthetic data, check it out. We run our own tuned model (you can self-host if you want), so, we're able to have incredibly fine grained control over text generation. Repository: https://github.com/automorphic-ai/trex Playground: https://automorphic.ai/playground

    2023 · automorphic.ai

12. 12
    covenant.yml▲1

    Shared rules for human and agent contributions

    Feb 2026

13. 13AS
    AgentML – SCXML for Deterministic AI Agents (MIT)▲5

    Hey HN, We’ve been experimenting with how to make AI agents more deterministic, observable, and production-safe, and that led us to build AgentML — an open-source language for defining agent behavior as state machines, not prompt chains. My co-founder posted before but linked to the project website instead of the repo, so resharing here. AgentML lets you describe your agent’s reasoning and actions as a finite-state model (think SCXML for agents). Each state, transition, and tool call is explicit and machine-verifiable. That means you can: - Reproduce any decision path deterministically -…

    Nov 2025 · github.com

14. 14
    ZenML▲84

    Create reproducible machine learning pipelines

    2020

15. 15DS
    DBML – simple DSL language to document database schemas▲57

    2019 · dbml-lang.org

16. 16SS
    SHML (shell markup language)▲71

    2015 · maxcdn.github.io

17. 17
    NannyML Regression v0.8.0▲85

    OSS Python library for detecting silent ML model failure

    2022

18. 18AD
    AgentML – Deterministic AI Agents (MIT, Alpha)▲17

    Oct 2025 · agentml.dev

19. 19
    Docstring▲92

    A simple way to write, maintain, and share documentation

    2021

20. 20
    OrchestraML▲4

    Turn natural-language ML goals into auditable ML pipelines.

    27d ago · orchestra-ml.vercel.app

21. 21
    GoMask as Code▲85

    Test data as code: YAML rules, Git versioned, & CI/CD ready

    Dec 2025

22. 22
    TenTags – Declarative (IR) for Documents▲16

    Declarative Intermediate Representation (IR) for Documents

    Jul 2026 · tentags.org

23. 23OA
    Orloj – agent infrastructure as code (YAML and GitOps)▲20

    Hey HN, we're Jon and Kristiane, and we're building Orloj (https://orloj.dev), an open-source orchestration runtime for multi-agent AI systems. You define agents, tools, policies, and workflows in declarative YAML manifests, and Orloj handles scheduling, execution, governance, and reliability. Over the past year we tried to use many different platforms/frameworks to build out agent systems and while building we hit some sort of problem with all of them, so we decided to have a go at it. Jon has worked with kubernettes and terraform for years and always liked the declarative…

    Mar 2026 · github.com

24. 24FA
    FormML – A DSL for building complex web forms▲5

    Hi everyone! I wrote a DSL (named Form Modeling Language) for modeling & building complex forms and am glad to share it with you now. Over the years, I’ve encountered many challenges while building complex forms from scratch—challenges that I believe are common, difficult, and yet often overlooked. These include managing interdependent fields, handling intricate validation rules, and maintain good collaboration between technical and non-technical people. FormML is my attempt to address these pain points. The project's README goes into more detail, but in short, FormML offers a model-first…

    2024 · github.com

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