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Dev tools · alternatives · 2026

24 alternatives to CRML

CRML is a declaritive language for writing cyberrisk as code

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    The AI CLI for CRML practitioners.

    Mar 2026 · github.com · its alternatives →

  2. 2DS
  3. 3
    StackML▲252

    Machine Learning platform in-browser, for creators

    2019 · its alternatives →

  4. 4

    From English prompt to deployed ML model with human approval

    Jun 2026 · orchestra-ml.vercel.app · its alternatives →

  5. 5EA

    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 · its alternatives →

  6. 6

    Generative AutoML for Tabular Data. Contribute to sapientml/sapientml development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  7. 7
  8. 8

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

    2020 · obviously.ai · its alternatives →

  9. 9SS

    2015 · maxcdn.github.io · its alternatives →

  10. 10
    DRYML▲5

    Compiled software modeling language, for free

    2020 · github.com · its alternatives →

  11. 11

    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 · its alternatives →

  12. 12
  13. 13

    ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml

    2020 · github.com · its alternatives →

  14. 14

    We're excited to announce Lowdefy V4, a full-stack web framework built on top of Next.js that simplifies building web applications, internal tools, admin panels, BI dashboards, and CRUD apps using YAML or JSON configuration files. New in V4: Next.js: Lowdefy now runs on top of the Next.js framework. All of Auth.js: App auth is now handled by Auth.js supported providers, adapters and callbacks and events, easy to configure, but all of which can be customized. Plugin extensibility: Apps can now be extended with any npm or pnpm workspace plugins. Our story: We have developed a simple…

    2021 · lowdefy.com · its alternatives →

  15. 15

    Shared rules for human and agent contributions

    Feb 2026 · clawstoa.com · its alternatives →

  16. 16

    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 · its alternatives →

  17. 17
    ZenML▲84

    Create reproducible machine learning pipelines

    2020 · github.com · its alternatives →

  18. 18

    I've developed Django Ninja CRUD, a tool to simplify CRUD operations in Django by leveraging Django Ninja's strengths. It aims to make CRUD operations more intuitive, modular, and efficient, especially for large-scale projects. Key aspects: - Declarative, intuitive CRUD operations. - Modular approach with composition-over-inheritance. - Enhanced testing capabilities for robust applications. The tool is designed to transform Django development workflows, improving efficiency and maintainability. Read more about the development, features and roadmap here:…

    2023 · github.com · its alternatives →

  19. 19

    A minimalist type-inferred programming language with procedural macro support - murisi/L2

    2017 · github.com · its alternatives →

  20. 20AD
  21. 21
    oneML▲3

    An optimized and portable Machine Learning SDK

    2022 · sertiscorp.com · its alternatives →

  22. 22
    FormML▲9

    A DSL for building forms (like Prisma but for forms)

    2025 · github.com · its alternatives →

  23. 23

    Declarative Intermediate Representation (IR) for Documents

    Jul 2026 · tentags.org · its alternatives →

  24. 24

    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 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →