🛠️ All DevTools

[Other] Show HN: Datadef.io – Canvas for data lineage and metadata management Hi HN, I’ve been working on <a href="https:&#x2F;&#x2F;datadef.io" rel="nofollow">https:&#x2F;&#x2F;datadef.io</a>, a tool to help data team (engineer, architect, project manager) make sense of their data universe.<p>The problem:<p>- Data models (dbt, SQL, warehouses) often grow into a tangled mess of tables, joins, and undocumented assumptions. - Lineage is either scattered across tools or missing entirely. - Documentation is usually an afterthought (and gets outdated fast).<p>Datadef.io aims to fix that by providing:<p>- Interactive canvas to map tables, relationships, and indicators. - Automatic lineage visualization to trace dependencies. - Metadata management: define table&#x2F;column-level details, ownership, and KPIs. - AI-generated documentation that stays in sync with your models. - Export&#x2F;share features so asset managers, analysts, and other teams don’t get lost in spreadsheets or PDFs.<p>It’s still early, and I’d love feedback from the HN community. In particular:<p>What’s missing for you in lineage&#x2F;metadata&#x2F;documentation tools?<p>How would you want to integrate a tool like this into your workflow (dbt, Databricks, Power BI, etc.)?<p>I’d really appreciate your thoughts, feature requests, and criticism.<p>Thanks!

[CLI Tool] docker mcp CLI plugin / MCP Gateway

[DevOps] AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

[API/SDK] A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go

[Other] Developer-first, enterprise-grade LLM framework. GraphBit is a high-performance AI agent framework with a Rust 🦀 core and seamless Python bindings. It combines Rust’s speed and reliability with Python’s simplicity, empowering developers to build intelligent, enterprise-grade agents with ease.

[API/SDK] Chaos to Clarity. No Code. No Confusion. No Chaos. APITect turns chaos into clarity in API development. 🚀 Paste JSON to get instant contracts, validate in real-time, mock dynamic responses, collaborate with your team & export anywhere — no code, no confusion, no chaos.

[Other] Kill dev ports A lightweight cross-platform status bar app that monitors and manages development processes running on configurable ports. The app provides real-time process detection and allows you to kill individual processes or all processes at once.

[Other] Open-Ollama-WebUI makes running and exploring local AI model Open-Ollama-WebUI makes running and exploring local AI models effortless with a clean chat interface, model controls, and dynamic API support. - hamzaxinstitute/Open-Ollama-WebUI

[Other] Get specific information from texts ScholarSight is your intelligent research assistant, designed to help you analyze, synthesize, and extract key insights from academic papers and complex documents. Upload your PDFs, ask questions, and unlock a deeper understanding of your research.

[Testing] One click to convert product docs into automated mobile QA Quash is an AI-native mobile testing platform that automatically converts PRDs, Figma files, and app listings into ready-to-run test cases, so teams can ship faster without writing scripts. Early access is open, with code support coming soon.

[Other] Chrome extension for session recording & debugging Record user interactions, console logs, and network requests. Export sessions as JSON and replay them for comprehensive debugging and QA analysis.

[Other] Extract & copy clean css code Stop copying messy CSS from DevTools. Get production-ready code instead.

[API/SDK] Harmonized with life We provide API for physiological signal processing, enabling researchers and companies to analyze raw data such as PPG or ECG without building algorithms from scratch. Our goal: make biomedical signal analysis faster, reproducible, and accessible worldwide.

[API/SDK] Create AI powered chatbots in minutes Botennica lets you build AI chatbots trained on your own data—websites, files, or YouTube videos—and embed them easily. No coding needed, fully customizable, and affordable. Perfect for businesses, creators, or anyone wanting a smart personal chatbot.

[Other] AI-Powered Innovation Management: Figure out what to build AI-Powered Product Innovation Management Platform

[Other] How Container Filesystem Works: Building a Docker-Like Container from Scratch

[Other] Show HN: CLAVIER-36 (programming environment for generative music) CLAVIER-36 is a programming environment for generative music. Programs are laid out in a two-dimensional grid, and evolve over time according to a fixed set of rules. The system is much like a cellular automaton, in that most of the rules governing the evolution of the system are local.<p>C36 programs describe sequences of discrete events in time. The environment includes a primitive sampler, as a self-contained means of interpreting these events as sound. For full expressivity, though, the system is best used as a generator of data for interpretation by an external musical instrument, such as a synthesizer.<p>The project was very directly inspired by Orca (<a href="https:&#x2F;&#x2F;100r.co&#x2F;site&#x2F;orca.html" rel="nofollow">https:&#x2F;&#x2F;100r.co&#x2F;site&#x2F;orca.html</a>). It began as my own from-scratch implementation of Orca and diverged over time.<p>It&#x27;s written in C, and compiled to WASM for the browser.<p>See the following pages for more info:<p>about page: <a href="https:&#x2F;&#x2F;clavier36.com&#x2F;about" rel="nofollow">https:&#x2F;&#x2F;clavier36.com&#x2F;about</a><p>user manual: <a href="https:&#x2F;&#x2F;clavier36.com&#x2F;manual" rel="nofollow">https:&#x2F;&#x2F;clavier36.com&#x2F;manual</a><p>tutorial video: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;rIpQmJVMjCA" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;rIpQmJVMjCA</a>

[Other] 🚀 Efficient implementations of state-of-the-art linear attention models

[Other] Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks

[API/SDK] 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.