Alternatives
Products that do what Diagify – CLI to convert natural language into technical diagrams does
Hello HN, I've created Diagify, a CLI for converting natural language to technical diagrams. There are a bunch of diagram-as-code tools out there and I had the idea that it should be possible to use LLMs to generate the diagram code based on a natural language description, execute it, and return the generated image. This is essentially what Diagify does. More specifically, Diagify generates code for the Mingrammer library which is specifically for technical diagrams. It also uses the OpenAI API to generate the Mingrammer code from the natural language description. The workflow is first…
- 1
- 2
- 3
- 4
- 5
- 6
- 7
Python dev to an NLP data scientist with practical projects
2022
- 8NT
I built a CLI tool that turns codebases and PRs into diagrams so you can quickly understand how things fit together. Originally made it because I couldn't follow my own AI-generated repos. Just shipped a big update: - Switched from D2 to Mermaid for rendering - Tree-sitter AST parsing + agentic flow instead of raw LLM calls. ~50x faster. - Works on any GitHub repo or PR, not just local - Dropped the web frontend, it's just a CLI now - Published as a pip package Still a ton to improve and I'm building fast. Feedback, issues, PRs all welcome.
Feb 2026 · github.com
- 9
- 10DC
Hi there! I'm building Diagrammatic, a simple and free online tool with the ambition to become a community for diagrams-as-code enthusiasts. Currently, it supports Mermaid, PlantUML, Dot (Graphviz), Vega-Lite, and Typogram, but I'm looking to add more languages. Please let me know if there's a particular one you use. I'd appreciate any kind of constructive feedback as well. Thanks in advance!
2024 · diagrammatic.com
- 11LS
I'm excited to introduce a new beta version of LIPS Scheme. The most important features of this
20d ago · lips.js.org
- 12
- 13OS
Hi HN, we’re Dylan and Matthew, building sublingual (https://github.com/sublingual-ai/sublingual), an open-source LLM observability tool you can use with zero code changes. As developers focused on iterating and building features as fast as possible, we felt observability would’ve been a helpful tool to have, but we found existing solutions had too much overhead to set up. So we gave ourselves the challenge of building an observability tool that you can integrate without changing a single line of code in your project. How it works Run your python application as usual with…
2025 · github.com
- 14
Hi HN, Nick here, founder at OpenKnowledge. We built an open source library, Visimer, for editing Mermaid diagrams with a what-you-see-is-what-you-get visual editor. Try the playground at https://visimer.com/playground. You can rename labels, change shapes, add new nodes, etc. by clicking and dragging the visual canvas. We set out to build this originally for OpenKnowledge, our markdown wysiwyg editor, then realized it’d be great to share it as a proper embeddable component library so that other apps can leverage it as well. Our general take is that AI is great for generating…
20d ago · github.com
- 15CA
Hey there HN! We're Vivek and Si-Yan from Cartograph (https://cartograph.app). We've built an AI-powered code documentation platform that automatically generates reference documentation and creates a visual interactive map of the codebase that serves as both high level architecture diagram and allows you to zoom in to specific implementations. How it works: We use static analysis to read a codebase and get its symbols and their dependencies, creating a complete map that includes function calls. We use LLMs (Gemini + Claude) to add metadata to this map, as well as augment it in…
2024 · cartograph.app
- 16WC
Hi all, I'm Ivan, and together with Alex, we're building a diagram visualization tool for codebases. Alex and I are devs, and we've noticed that recently we've been super productive at writing code (prompting :D). But when it comes to understanding big systems, prompting doesn't work that well — for that, diagrams are best imo. Most tools out there don't scale to big projects (e.g. PyTorch), so we're building CodeBoarding — a recursive visualizer for codebases. It starts from the highest level of abstractions and lets you dive deeper. We use static analysis and LLM agents. The control-flow…
2025 · github.com
- 17HA
Hey HackerNews community! We're Antoine, Emeric, and Alexandre, the minds behind Holori. In our past lives, we dove deep into documenting complex infrastructures across various cloud providers for the Aerospace and Medical industries. Compliance was crucial, but spending endless hours on Draw.io felt like a drain on our productivity. Realizing we weren't alone in this struggle, we set out to build a solution. Introducing Holori, a tool that automatically generates infrastructure diagrams from your Terraform files. The magic happens right in your GitHub Pull Requests – the diagrams are…
2023 · holori.com
- 18TA
Hi HN, TamedTable is an LLM harness for data ETL. And yes, it was developed using AI, meaning you can take the entire specification and recreate it to your desires: https://github.com/ZSvedic/TamedTable
Aug 2026 · tamedtable.com
- 19LP
A CLI tool for managing and semantically diffing LLM prompts. Goes beyond text diff by detecting meaning-level changes using embeddings (OpenAI or local). Useful for versioning, testing, and CI/CD workflows.
2025 · github.com
- 20
During the implementation of a huge high performance service. In order to keep context small (mainly for humans) I kept the specs into mermaid diagrams. When communicating with humans; diagrams were easy to follow and to remember. But when I asked the agent to implement what's in the diagram, most of the times it failed. So I came into conclusion that agents are good into writing mermaid diagrams but they are not good into reading them. I built graph2agent in order to deterministically (without inference :) ) convert mermaid diagrams into digestible rich text for agents. examples:…
26d ago · graph2agent.github.io
- 21OS
I’ve been working on Code2Docs, an open-source CLI tool that helps developers automatically generate inline documentation (docstrings + comments) for Python code using AI. It’s built to solve a common problem I’ve faced (and seen often in teams): We code by "vibe" — fast iterations, minimal docs, and then forget what the logic was months later. Code2Docs helps bridge that gap by documenting as you go — without breaking your flow. Right now it supports function-level documentation. Planned features include: - README.md generation for projects - API endpoint docs - Database schema…
2025 · code2docs-open-source.netlify.app
- 22TA
Let's try a small experiment with LLMs that have a large context length: feed an entire book into the context window and ask it to generate a list of characters, their relationships, and physical descriptions—data that can later be used for image generation. In this repository, you can find two tools: a script that extracts data from book text using an LLM (Gemini or OpenRouter API) and an HTML/JS (D3) visualization of the character graph. An external text-to-image model can be used to generate character illustrations (a Google Colab example is provided). Explore the visualizations,…
2025 · github.com
- 23SE
Hey HN - my name is Tim and I created Slatebox. Slatebox is a visualization collaboration platform that lets you create editable mind-maps, diagrams, SWOT Analyses (w 100s of other templates) and more -- all based on natural language through AI. It's like Miro but with AI superpowers. Would love to know what you think. I'll be releasing a team pro version soon where teams can auto-diagram their internal ecosystem, including code repositories.
2023 · slatebox.com
- 24IM
2024 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →