Search Results for "high performance computing"
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Showing 18 open source projects for "high performance computing"
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SwiftNIO
Network application framework for protocol servers and clients
SwiftNIO is a cross-platform asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. Low-level protocol implementations are often a collection of ChannelHandlers that implement a protocol but still require the user to have a good understanding of SwiftNIO. Often, low-level protocol implementations will then be wrapped in high-level libraries with a nicer, more user-friendly API. ... -
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React Native Gesture Handler
Declarative API exposing platform native touch and gesture system
...The library is especially useful for apps that need swipes, pans, taps, long presses, drag gestures, and nested gesture handling. It integrates closely with React Native Reanimated, making it a common foundation for high-performance mobile interfaces. Its main value is helping developers create fluid, deterministic, platform-native gesture experiences without manually fighting React Native’s default touch system. -
3
ServiceStack
Simple, fast, versatile and full-featured services framework
...By using simple & pure dependency-free DTO models decoupled from any implementation we're free to continue layering on features which now sees ServiceStack APIs as the most versatile in the world where the same high-performance APIs can be consumed from HTTP in any combination of Route, QueryString, FormData or a myriad of data formats, via popular resilient MQ Servers whilst simultaneously supporting legacy integrations like SOAP or adopting new technologies like gRPC without sacrificing any native HTTP integrations. To maximize the value of APIs we're focused beyond the API boundary by making it as simple as possible for API Consumers to call your APIs. -
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MNN
MNN is a blazing fast, lightweight deep learning framework
...MNN Workbench could be downloaded from MNN's homepage, which provides pretrained models, visualized training tools, and one-click deployment of models to devices. Android platform, core so size is about 400KB, OpenCL so is about 400KB, Vulkan so is about 400KB. Supports hybrid computing on multiple devices. Currently supports CPU and GPU. -
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5
Starling Framework
2D GPU-accelerated framework for ActionScript developers
Starling is an open-source 2D framework for ActionScript developers that leverages GPU acceleration via Adobe's Stage3D API to create smooth, high-performance games and applications across desktop and mobile platforms. It mimics the traditional Flash display list while dramatically improving performance, making it a popular choice for Flash developers transitioning into more efficient, hardware-accelerated environments. -
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React Native Audio API
High-performance audio engine for react-native
React Native Audio API is a cross-platform audio library that brings a Web Audio API-style workflow to React Native. It is designed for apps that need real-time control over audio playback, recording, routing, effects, and signal processing. Developers can build consistent audio behavior across iOS, Android, and the web without rewriting separate logic for each platform. The library supports audio graph concepts, making it useful for music tools, voice apps, sound effects, games, audio... -
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QtAV
A multimedia framework based on Qt and FFmpeg
QtAV is a cross-platform and high performance multimedia playback framework based on Qt and FFmpeg. Features: timeline preview, gpu decoding etc -
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pipeless
A computer vision framework to create and deploy apps in minutes
...You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud. -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. -
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Weex
A framework for building Mobile cross-platform UI
Weex is a framework for building performant mobile apps with modern web technology. Weex is using native components and native modules to take advantage of native rendering performance and platform capabilities. Both components and modules are pluggable and extendable. You can use a single codebase to generate different bundle files to running on both Webs, Android and iOS platforms. Native components and modules have a different implementation on each platform, but they all exposed the same... -
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Apache Weex
A framework for building Mobile cross-platform UI
Weex is a framework for building performant mobile apps with modern web technology. Weex is using native components and native modules to take advantage of native rendering performance and platform capabilities. Both components and modules are pluggable and extendable. You can use a single codebase to generate different bundle files to running on both Webs, Android and iOS platforms. Native components and modules have a different implementation on each platform, but they all exposed the same... -
12
SwiftSVG
A simple, performant, and lightweight SVG parser
SwiftSVG is not meant to be a full SVG parser. The library supports the most common use cases of flat, solid-color SVG elements. It supports grouping and transformations and can parse all path and shape elements. The best use case for SwiftSVG is for flat icons that you may want to theme at runtime and have good control over. Think icons for your app, especially if you offer light and dark themes. The library can handle complex paths, and more importantly can handle them quickly, so you can... -
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VasSonic
Hybrid framework to speed up the first screen of websites
VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform. VasSonic is a lightweight and high-performance Hybrid framework developed by tencent VAS team, which is intended to speed up the first screen of websites working on Android and iOS platform. -
14
mui
High-performance framework closest to native APP experience
...On the other hand, the browser default control styles are few and ugly, making a beautiful control is very troublesome, and there are some simple UI frameworks but low performance. The mui framework effectively solves these problems. This is a framework that can facilitate the development of high-performance apps, and it is also the framework that is closest to the effect of native apps. -
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YYText
Text framework for iOS to display and edit rich text
Powerful text framework for iOS to display and edit rich text. YYText is a component of YYKit. YYText is UILabel and UITextView API compatible. High performance asynchronous text layout and rendering, extended CoreText attributes with more text effects. Text attachments with UIImage, UIView and CALayer. Custom highlight text range to allow user interact with, text parser support (built in markdown/emoticon parser), text container path and exclusion paths support. Vertical form layout support (for CJK text). ... -
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YYModel
High performance model framework for iOS/OSX
The conversion performance is close to handwriting code. The object types can be automatically converted. All data types will be verified to ensure type-safe during the conversion process. There is no need to make the model class inherit from other base class. This library contains only 5 files. Docs and unit testing, 100% docs coverage, 99.6% code coverage. You can map a json key (key path) or an array of json key (key path) to one or multiple property name. If there's no mapper for a... -
17
EZAudio
An iOS and macOS audio visualization framework
...I've designed six audio components and two interface components to allow you to immediately get your hands dirty recording, playing, and visualizing audio data. These components simply plug into each other and build on top of the high-performance, low-latency AudioUnits API and give you an easy to use API written in Objective-C instead of pure C. EZAudio was designed to work transparently across all iOS and OSX devices. This means one universal API whether you're building for Mac or iOS. For instance, under the hood an EZAudioPlot knows that it will subclass a UIView for iOS or an NSView for OSX and the EZMicrophone knows to build on top of the RemoteIO AudioUnit for iOS, but defaults to the system defaults for input and output for OSX. -
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The Network-Integrated Multimedia Middleware (NMM) is a flow graph based multimedia framework that allows to create distributed multimedia applications: local and remote multimedia devices or software components can be combined.
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