Showing 8 open source projects for "external"

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  • 1
    FlatCC FlatBuffers in C for C

    FlatCC FlatBuffers in C for C

    FlatBuffers Compiler and Library in C for C

    flatcc has no external dependencies except for build and compiler tools, and the C runtime library. With concurrent Ninja builds, a small client project can build flatcc with libraries, generate schema code, link the project and execute a test case in a few seconds, produce binaries between 15K and 60K, read small buffers in 30ns, build FlatBuffers in about 600ns, and with a larger executable also handle optional json parsing or printing in less than 2 us for a 10 field mixed type message. ...
    Downloads: 0 This Week
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  • 2
    Dev-C++ for Windows 10/8/7

    Dev-C++ for Windows 10/8/7

    A fast, portable, simple, and free C/C++ IDE

    Coding Boot Camp Learning to program? Check out the free boot camp from Embarcadero which runs from Monday, August 22nd to Friday, August 26th. https://learndelphi.org/boot-camp-2022/ Embarcadero Dev-C++ is a new and improved fork (sponsored by Embarcadero) of Bloodshed Dev-C++ and Orwell Dev-C++. It is a full-featured Integrated Development Environment (IDE) and code editor for the C/C++ programming language. It uses Mingw port of GCC (GNU Compiler Collection) as its compiler....
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    Downloads: 3,041 This Week
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  • 3
    AppM Build Automation

    AppM Build Automation

    Automated software application for constructing and building projects.

    ...Thus, the entire repository should be marked by the project description files to provide unambiguous information on the projects and their dependencies. - AppM Build Automaiton must be able to perform different actions (project construction, external applications launch, file copying, etc.) which are needed to build a -product. - All operations with projects should be carried out on the basis of information that build tool derives from the project description files.
    Downloads: 0 This Week
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  • 4
    PyInstaller

    PyInstaller

    Converts (packages) Python programs into stand-alone executables

    ...Its main advantages over similar tools are that PyInstaller works with any version of Python since 2.3, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and uses the OS support to load the dynamic libraries, thus ensuring full compatibility. The main goal of PyInstaller is to be compatible with 3rd-party packages out-of-the-box. This means that, with PyInstaller, all the required tricks to make external packages work are already integrated within PyInstaller itself so that there is no user intervention required. You'll never be required to look for tricks in wikis and apply custom modification to your files or your setup scripts. As an example, libraries like PyQt, Django or matplotlib are fully supported, without having to handle plugins or external data files manually.
    Downloads: 79 This Week
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  • 5
    Kreatrix is dynamic prototype based object orientated language. It has been inspirated by Io and Self. The syntax is similar to Smalltalk. It has small VM with modules (like Python). Some modules bind external library, for example: GTK+ and SDL.
    Downloads: 0 This Week
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  • 6
    MsvcConf is an external dependency tracker for Microsoft Visual Studio, and is designed to automatically update the include and library paths for one or more Visual C++ projects.
    Downloads: 0 This Week
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  • 7
    The Language Machine is a toolkit for language and grammar: a library, main program, and self-hosted rule compilers with one frontend. The system is easy to use. It directly implements unrestricted rule-based grammars with actions and external interfaces.
    Downloads: 0 This Week
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  • 8

    Alchemist plugin

    Alchemist GCC/LLVM plugin for code analysis and tuning

    News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ...
    Downloads: 0 This Week
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