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Windows-to-RaspberryPi Cross-Compiler

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Editors’ Review

Download.com staff
This Windows-to-RaspberryPi cross compiler allows C/C++ developers to build efficient Raspberry Pi software directly from a Windows workstation. It includes command-line EXEs, libraries, and headers for seamless cross-platform development.

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  • Pros

    • Runs without installation in any standard Win32 environment.
    • Supports high efficiency C and C++ compilation.
    • Includes necessary EXE files, libraries, and headers.
    • Supports hardware floating point Linux environments (Raspbian).
    • Supports software floating point Linux environments (Debian).

  • Cons

    • Requires a Windows operating system workstation.
    • The cross-compiler consists only of command line applications.
    • Support limited strictly to C and C++ languages.
    • No mention of an integrated graphical user interface.
Icon of program: Windows-to-RaspberryPi Cr…

Windows-to-RaspberryPi Cross-Compiler

Download now

Used Windows-to-RaspberryPi Cross-Compiler for Windows?

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Full Specifications

GENERAL
Release
Latest update
Version
1.0
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 8
  • Windows XP
  • Windows 2003
  • Windows Server
  • Windows 2000
  • Windows 7
  • Windows 10
  • Windows Vista
Additional Requirements
None
POPULARITY
Total Downloads
558
Downloads Last Week
10
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Developer’s Description

By GuruCoding Software
Build your software for Raspberry Pi from Windows.
Windows-to-RaspberryPi Cross Compiler. Cross-compiler is a set of EXE files (command line applications), libraries and headers; it will run without installation in any Win32 environment and build your software for Raspberry Pi. Both hardware floating point and software floating point Linux environments are supported by this cross compiler (Raspbian vs Debian, arm-linux-gnueabihf vs arm-linux-gnueabi, dynamic linking to ld-linux-armhf.so.3 vs ld-linux.so.3). Cross-compiling to Raspberry Pi makes perfect sense if your operating system of choice on the workstation is Windows and you need full efficiency of C or C++ on Raspberry Pi device.
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