Implementation of Python 3.x for .NET Framework that is built on top of the Dynamic Language Runtime.
- ironpython
- dlr
- c-sharp
- python
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Implementation of Python 3.x for .NET Framework that is built on top of the Dynamic Language Runtime.
A simple Timer app for Mac
BLAS-like Library Instantiation Software Framework
High-performance time-series aggregation for PostgreSQL
Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.
Useful extensions to the standard Python datetime features
Runtime introspection and unit testing of SwiftUI views
CommonMark/Markdown Java parser with source level AST. CommonMark 0.28, emulation of: pegdown, kramdown, markdown.pl, MultiMarkdown. With HTML to MD, MD to PDF, MD to DOCX conversion modules.
Build material design interfaces in record time... without stress for devs... 🍺💛
Java unlimited redefinition of classes at runtime.
Better playgrounds that work both for Objective-C and Swift
A custom reusable circular / progress slider control for iOS application.
Trigger functions or evaluate cron expressions in JavaScript or TypeScript. No dependencies. Most features. Node. Deno. Bun. Browser.
Joda-Time library with Android specialization
⚡️ A resource to help figure out what JavaScript array method would be best to use at any given time
The SPIFFE Runtime Environment
Intuitive date handling in Swift
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
📆 Parse, format, manipulate, and internationalize dates and times in JavaScript and TypeScript.
🌻 A pluggable, lightweight, highly optimized Jetpack Compose and Kotlin Multiplatform image loading library that fetches and displays network images.
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
Security sensor for realtime threat detection and protection
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
All new design. Inspect your iOS application at runtime.