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PTAM (Parallel Tracking and Mapping) re-released under GPLv3.
GNU/Linux/nix client for DroidCam
A robust JavaScript implementation of the windows-1251 character encoding as defined by the Encoding Standard.
Flexible conversion between JSON and CSV
Krita is a free and open source cross-platform application that offers an end-to-end solution for creating digital art files from scratch built on the KDE and Qt frameworks.
Hysteria is a powerful, lightning fast and censorship resistant proxy.
🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
Vite plugin which enables you to configure your environment variables when deploying your app.
An Invitation to 3D Vision: A Tutorial for Everyone
A low-level JS video API that allows adding a completely custom video experience to web apps.
Jitsi Meet - Secure, Simple and Scalable Video Conferences that you use as a standalone app or embed in your web application.
Create the next immutable state by mutating the current one
Secure Socket Funneling - Network tool and toolkit - TCP and UDP port forwarding, SOCKS proxy, remote shell, standalone and cross platform
A framework for writing performant and reliable networked services.
A Git-compatible VCS that is both simple and powerful
A GUI client for Windows, Linux and macOS, support Xray and sing-box and others
DOMPurify - a DOM-only, super-fast, uber-tolerant XSS sanitizer for HTML, MathML and SVG. DOMPurify works with a secure default, but offers a lot of configurability and hooks. Demo:
Universal icon framework. One syntax for FontAwesome, Material Design Icons, DashIcons, Feather Icons, EmojiOne, Noto Emoji and many other open source icon sets (over 150 icon sets and 200k icons).…
📝 the simplest and smallest WYSIWYG text editor for web, with no dependencies
React components and hooks for the Google Maps JavaScript API
React components for Leaflet maps
Interactive Data Visualization in the browser, from Python
Images to inference with no labeling (use foundation models to train supervised models).