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Kodi is an award-winning free and open source home theater/media center software and entertainment hub for digital media. With its beautiful interface and powerful skinning engine, it's available for Android, BSD, Linux, macOS, iOS, tvOS and Windows.
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
An efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, POSIX, and OHOS.
Build realtime web, mobile and desktop apps in Python only. No frontend experience required.
Impacket is a collection of Python classes for working with network protocols.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
NewsBlur is a personal news reader that brings people together to talk about the world. A new sound of an old instrument.
Easy to use cryptographic framework for data protection: secure messaging with forward secrecy and secure data storage. Has unified APIs across 14 platforms.
SimpleBLE - the all-in-one Bluetooth library for MacOS, iOS, Windows, Linux and Android.
A lightweight, high-performance, industrial-grade cross-language logging library (C++/Java/C#/Kotlin/TS/Python/Go), battle-tested in Honor of Kings.
Tools for computational pathology
Unofficial Dante Controller alternative for iOS/iPadOS, Linux, macOS, Windows, and the web. Discover, route, configure, meter, and monitor Dante audio devices with a native iPhone/iPad app, CLI, browser interface, daemon, and API.
Open source Terraform module registry with UI, optional Git integration and deep analysis. Demo: https://terrareg-main.gitlab-pr.dockstudios.co.uk
Easily bring your Python applications online with the world's lightest GUI toolkit.
pyserial-asyncio for humans.
Manage Steam sessions, Guard, Market, trade offers and more.
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Ultra high-performance secp256k1 ECC engine | Python, Node.js, Rust, Go, C#, Swift, Java bindings | CUDA, Metal, OpenCL GPU | ECDSA, Schnorr, FROST, MuSig2, BIP-352 | 15+ platforms
Lightweight Open Sound Control implementation for Python using asyncio