Dev tools · alternatives · 2026
24 alternatives to DRYML
Compiled software modeling language, for free
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. DRYML launched in 2020; newer entries below may have overtaken it.
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CRML▲130CRML is a declaritive language for writing cyberrisk as code
Feb 2026 · github.com · its alternatives →
- 2DS
2019 · dbml-lang.org · its alternatives →
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Generative AutoML for Tabular Data. Contribute to sapientml/sapientml development by creating an account on GitHub.
2023 · github.com · its alternatives →
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HeroML▲84Write AI workflow apps & tools, 4000+ free prompt libraries
2023 · hero.page · its alternatives →
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OrchestraML▲82From English prompt to deployed ML model with human approval
Jun 2026 · orchestra-ml.vercel.app · its alternatives →
- 10EA
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 →
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🧜♀️ RESTful rendering pipeline for generating sequence and UML diagrams using Mermaid for Markdown docs (Diagrams as a Service) - Schachte/Mermrender
2019 · github.com · its alternatives →
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So i've been working on this project since a few days (or months i should say), it's called wyzer (meaning wiser) it's a statically typed, compiled, resource-oriented programming language with integrated distributed safety via choreographic programming and perceus memory model, The reason why i began this project is out of frustration from Rust, you see it does provide safety for your memory by the strict type checking but what it does not gurantee safety against are distributed deadlocks which is basically a few independent nodes or services wait permanently for resources or messages held…
Aug 2026 · github.com · its alternatives →
- 14RA
I originally planned to release RinohType into wild only after I had finished a full review, refactoring and documenting of the code. I also wanted to write some API documentation and a small tutorial, all in the spirit of making a good first impression. Turns out all this takes a ...
2013 · mos6581.org · its alternatives →
- 15SS
2015 · maxcdn.github.io · its alternatives →
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Fast LLMs for low-latency and high-performance workflows
Jun 2026 · jetbrains.com · its alternatives →
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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 →
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Hi HN! We’re been working hard on this low-code tool for rapid prompt discovery, robustness testing and LLM evaluation. We’ve just released documentation to help new users learn how to use it and what it can already do. Let us know what you think! :)
2023 · chainforge.ai · its alternatives →
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Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com · its alternatives →
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2021 · spotml.io · its alternatives →
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G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com · its alternatives →
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Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2022 · 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 →