mxe
llvm-mingw
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mxe | llvm-mingw | |
---|---|---|
9 | 15 | |
1,157 | 1,634 | |
1.3% | - | |
9.5 | 8.9 | |
7 days ago | 2 days ago | |
Makefile | C | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mxe
- MXE (M Cross Environment)
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Using pybind11 with minGW to cross compile pyhton module for Windows
Cross compiler 64bit minGW along with MXE environment
- Getting “QT with MinGW support”?
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Because cross-compiling binaries for Windows is easier than building natively
I used to use MXE [1] to compile fully static Windows binaries on Linux VMs hosted with Travis. It needed to crane in everything though, so it was a source of bottlenecks from time to time. I was also uncertain about the provenance of a lot of the dependencies in that toolchain. So when Travis died I took the opportunity to move Windows builds back to gnu with msys2, all over GH Actions. These are actually comparatively snappy and I’m reasonably satisfied with it.
[1] https://mxe.cc/
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Linux-to-Windows cross-compilation using MSYS2 packages
MXE readily supports GCC 12 as a plugin (just a configuration line): https://github.com/mxe/mxe/tree/master/plugins/gcc12
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Seer - a new gui frontend to gdb/mi (Updated v1.3)
Also, if you don't have any other significant dependencies, getting the development tools on Windows is not that hard with the Qt installer. Alternatively, there is MXE.
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Writing code in Linux, but creating a program in windows.
MXE (https://mxe.cc/) is a great cross compiler environment (on linux) that uses mingw.
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Cross-compilation on a mac
You can install Docker to build on any Linux distro, and if one of those is Ubuntu then you can use https://github.com/mxe/mxe to further build for Windows. Or VirtualBox + Ubuntu + MXE.
llvm-mingw
- Crystal 1.11.0 Is Released
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Ask HN: Who is using the D language and likes/doesn't like it? Why?
> Doing Python with a C plugin, or just compiling a command line C/C++ isn't really systems programming.
I care about a minimal set of tools in order to compile C/C++ programs. thats offered by:
https://github.com/mstorsjo/llvm-mingw/releases
and also MSYS2, and even the Zig C compiler. all less than 200 MB. meanwhile Visual Studio installing about 10 GB worth. If Microsoft can offer a similar experience then I am interested.
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Clang compiler for Windows 10 gives this error
Pick a community-supported Clang-based Mingw-w64 distribution.
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My 24 year old HP Jornada can do things your modern iPhone still can't do
> AFAIK there is no native GCC compiler for Windows
might want to check your facts before spouting nonsense. there is, and has been for many, many years. more than one in fact:
https://github.com/mstorsjo/llvm-mingw
https://packages.msys2.org/base/mingw-w64-gcc
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Release candidate: Godot 4.0 RC 5 (Yes, the pace is picking up!)
MinGW is notoriously slow to link compared to MSVC, unless using llvm-mingw with the link=lld SCons option. If using MSVC, make sure to use 2022 or at least 2019 if possible – recent linkers tend to be faster than older versions.
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Toolchain for cross-compiling DLL to windows/arm64
GCC doesn't support windows/arm64, but you should be able to do it with LLVM. I've never gotten it to work myself, but should be able to supply a cross toolchain: https://github.com/mstorsjo/llvm-mingw
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Ask HN: Programming Without a Build System?
Visual Studio is a bloated mess, and has been for many years. Its at least 10 times larger than other options, such as MinGW-LLVM:
https://github.com/mstorsjo/llvm-mingw
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Because cross-compiling binaries for Windows is easier than building natively
Sadly Qt ships MinGW 8.1 which is positively ancient (released in 2018). If you're starting a new project (which you likely are if you are installing an IDE aha) there's no reason not to go for more recent compilers - msys2 has GCC12 (https://packages.msys2.org/package/mingw-w64-x86_64-gcc) and Clang 14 (https://packages.msys2.org/package/mingw-w64-x86_64-clang) which just work better overall, have much more complete C++20 support, have less bugs, better compile times (especially clang with the various PCH options that appeared in the last few versions), better static analysis, etc.
Personally I use https://github.com/mstorsjo/llvm-mingw's releases directly which does not require MSYS but that's because I recompile all my libraries with specific options - if the MSYS libs as they are built are good for you there's no reason not to use them.
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Some sanity for C and C++ development on Windows
you can grab it here: https://github.com/mstorsjo/llvm-mingw/releases/tag/20211002
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The Atrocities of COM win32 headers
Clang (and lld) do support native TLS, and mingw-w64 does have the things that are needed. I think binutils also might have what's needed too, but AFAIK the thing that's missing is support for it in GCC.
Actually, (upstream) Clang defaults to native TLS instead of emulated TLS. In MSYS2, Clang is overridden to use emulated TLS by deafult to interoperate better with GCC built code and libstdc++ though.
The toolchain I maintain, https://github.com/mstorsjo/llvm-mingw, defaults to native TLS throughout.
What are some alternatives?
seer - Seer - a gui frontend to gdb
mingw-w64 - (Unofficial) Mirror of mingw-w64-code
quasi-msys2 - Cross-compile C/C++ from Linux to Windows using MSYS2 packages
w64devkit - Portable C and C++ Development Kit for x64 (and x86) Windows
displaylink-rpm - RPM sources for the DisplayLink USB display adapters
msys2
manylinux - Python wheels that work on any linux (almost)
cmake-init - The missing CMake project initializer
glibc_version_header - Build portable Linux binaries without using an ancient distro
MSYS2-packages - Package scripts for MSYS2.
ded - Dramatic EDitor
glibc-abi-tool - A repository that collects glibc .abilist files for every version and a tool to combine them into one dataset.