4 projects for "network development platforms" with 2 filters applied:

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  • 1
    Iperf 2

    Iperf 2

    A means to measure network responsiveness and throughput

    Iperf here is a means of measuring networks - capacity & latency (including ECN) over sockets both TCP and UDP. The goals include maintaining an active iperf code base across a broad set of platforms and operating systems. This is a multi-threaded design that scales with the number of CPUs or cores within a system. It supports both high impact and low impact techniques to obtain and report network performance. Current release: 2.2.1, Nov 4th, 2024 About iperf 2 and iperf3: Read about the differences between these programs at https://iperf2.sourceforge.io/IperfCompare.html Man page: https://iperf2.sourceforge.io/iperf-manpage.html Android version: https://play.google.com/store/apps/details?...
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    Downloads: 9,889 This Week
    Last Update:
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  • 2
    Gideros Mobile

    Gideros Mobile

    Cross platform SDK

    Develop your app in Lua language and export it to most popular platforms, from desktop PC and Mac to mobile (Android, iOS, Windows Phone) and even Web. While Gideros is mainly dedicated to game development, it is also a good fit for professional apps. Code once, run everywhere! Intro documentation: http://docs.giderosmobile.com/ Reference documentation: http://docs.giderosmobile.com/reference/ Forum: http://giderosmobile.com/forum Full source code: https://github.com/gideros/gideros
    Downloads: 0 This Week
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  • 3
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing...
    Downloads: 0 This Week
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  • 4

    FFT for ARMv6

    Fixed point 16/32 integer FFT library for the Raspberry Pi and Android

    This library is being created as I have a need to do very fast FFTs on low end devices not supporting the NEON instruction set. The Raspberry Pi is an ideal candidate for developing in gcc before porting to JNI for low spec Android devices, hence it's inclusion. Fixed point 16/32 integer FFT library suitable for the Raspberry Pi and Android devices. Includes test stubs for gcc on the Raspberry Pi and a Basic4Android wrapper from JNI. It includes hand optimised ARMv6 assembler,...
    Downloads: 0 This Week
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