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Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.
An attempt to make a better writing experience for TW using codemirror.
Tiddlywiki5 plugin to better update all other tiddlers when renaming a tiddler.
AutoKey, a desktop automation utility for Linux and X11.
Angular markdown component/directive/pipe/service to parse static, dynamic or remote content to HTML with syntax highlight and more...
Prism is a framework for building loosely coupled, maintainable, and testable XAML applications in WPF, Xamarin Forms, and Uno / Win UI Applications..
An advanced, composable, functional reactive model-view-viewmodel framework for all .NET platforms that is inspired by functional reactive programming. ReactiveUI allows you to abstract mutable sta…
🎬 ScreenToGif allows you to record a selected area of your screen, edit and save it as a gif or video.
Map your keys for web surfing, expand your browser with javascript and keyboard.
A demo setup for developing plugins for tiddlywiki 5
A reactive programming library for JavaScript
High Performance Inter-Thread Messaging Library
GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
binary releases of VS Code without MS branding/telemetry/licensing
Sample code demonstrating use cases of the Microsoft.Windows.EventTracing.Processing.All nuget package.
A curated list of awesome R packages, frameworks and software.
Authoring Books and Technical Documents with R Markdown
A faster, simpler way to drive browsers supporting the Chrome DevTools Protocol.
Elegant Scraper and Crawler Framework for Golang
Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capabi…
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data 📊
🤗 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.