manylinux
zig
manylinux | zig | |
---|---|---|
13 | 816 | |
1,355 | 30,773 | |
1.8% | 2.7% | |
8.8 | 10.0 | |
4 days ago | about 22 hours ago | |
Shell | Zig | |
MIT License | MIT License |
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.
manylinux
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Building a go program with an older glibc
I use manylinux containers as the OS for compilation. It tries to ensure as much cross-os / libc / etc.. as much as possible for precompiled libraries. https://github.com/pypa/manylinux
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Alpine Linux in the Browser
Just to clarify for anyone who isn't aware, the "compiling issues", at least historically, have been that that Alpine uses musl, and PyPI's manylinux wheels are built against old glibc versions. So stuff like numpy that would trivially and quickly install from whl on glibc distros (like a bare-bones Ubuntu image) trigger compilations and the installation of build-only dependencies on Alpine.
That said, it looks like as of late-2021, at least some projects are offering musllinux wheels as well, per the discussion here: https://github.com/pypa/manylinux/issues/37 (not numpy, though: https://pypi.org/project/numpy/#files)
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Because cross-compiling binaries for Windows is easier than building natively
It's very hard. Incompatible glibc ABIs make this nigh impossible, there's a reason Steam installs a vcredistributable.dll for pretty much every game on Windows.
Look no further than the hoops you need jump through to distribute a Linux binary on PyPI [1]. Despite tons of engineering effort, and tons of hoop jumping from packagers, getting a non-trivial binary to run across all distros is still considered functionally impossible.
[1]: https://github.com/pypa/manylinux
- manylinux_2_28 image is published
- manylinux_2_28 image is published (including docker environment)
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CPython, C standards, and IEEE 754
As a user, if you build every python package from source, it's ok. But if you a maintainer of an OSS project and you need to publish binary packages for it, then you will hit the trouble. Binaries built on Ubuntu 20.04 can only support Ubuntu 20.04 and newer. So you'd better to choose an older Linux release to target broader users. Now most python packages choose CentOS 6 or 7. See https://github.com/pypa/manylinux/issues/1012 for more details. They need help!
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Using Zig as Cross Platform C Toolchain
I recently learned that Clang supports this kind of cross-compiling out of the box. https://mcilloni.ovh/2021/02/09/cxx-cross-clang/
The main difference is that Clang does not ship with headers/libraries for different platforms, as Zig appears to do. You need to give Clang a "sysroot" -- a path that has the headers/libraries for the platform you want to compile for.
If you create a bunch of sysroots for various architectures, you can do some pretty "easy" cross-compiling with just a single compiler binary. Docker can be a nice way of packaging up these sysroots (especially combined with Docker images like manylinux: https://github.com/pypa/manylinux). Gone are the days when you had to build a separate GCC cross-compiler for each platform you want to target.
- “LLVM-Libc” C Standard Library
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'Python: Please stop screwing over Linux distros'
Now you come and use manylinux to build. (https://github.com/pypa/manylinux) so you are based on the CentOS 7 toolchain (at best if you use manylinux2014) or Debian 9 toolchain (if you use manylinux_2_24).
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Building Outer Wonders for Linux
I think the generally accepted way to do that would be a container image running a relatively old distribution. This is exactly what python packages do when they need to distribute binary packages on linux [0]. You are supposed to compile the package in a container (or VM) that runs CentOS 7 (or older if you want broader support), although now the baseline is moving gradually to Debian 9.
[0]: https://github.com/pypa/manylinux
zig
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Memory-mapped IO registers in Zig. (2021)
There is an issue proposing this approach: https://github.com/ziglang/zig/issues/4284
- Zig Programming Language
- Zig Language 0.12 Release
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Zig 0.12.0 Release Notes
https://github.com/ziglang/zig/issues/224
e.g.:
> > When debugging/prototyping, it's useful to comment out a line without having to refactor, e.g.
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How to Write a PHP Extension with Zig?
When writing code in a scripting language, sometimes you need that extra bit of performance (or maybe an async feature from Zig).
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Bun - The One Tool for All Your JavaScript/Typescript Project's Needs?
NodeJS is by no means a slow runtime, it wouldn’t be so popular if it was. But compared to Bun, it’s slow. Bun was built from the ground up with speed in mind, using both JavascriptCore and Zig. The Bun team spent an enormous amount of time and energy trying to make Bun fast, including lots of profiling, benchmarking, and optimizations.
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Bun 1.1
ntdll.dll!RtlUserThreadStart()
There are valid reasons to use APIs from NTDLL. Where I disagree with zig#1840 is the idea that it is always better to use NTDLL versions of API. Every other software ecosystem uses the standard Win32 APIs and diverging from that without a good reason seems like a good way to have unexpected behavior. One concrete example is most users and programmers expect Windows to redirect some file system paths when running on WOW64. But this is implemented in Kernel32, not ntdll.
https://github.com/ziglang/zig/issues/11894
- Zig, Rust, and Other Languages
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Nanos – A Unikernel
Zig also has an IRC channel on libera (#zig) that is moderated by Andrew Kelley.[1]
[1] https://github.com/ziglang/zig/wiki/Community
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
What are some alternatives?
auditwheel - Auditing and relabeling cross-distribution Linux wheels.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
musl-cross-make - Simple makefile-based build for musl cross compiler
Odin - Odin Programming Language
glibc_version_header - Build portable Linux binaries without using an ancient distro
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
mxe - MXE (M cross environment)
rust - Empowering everyone to build reliable and efficient software.
lhelper - A simple utility to helps compile and install C/C++ libraries on Windows and Linux
go - The Go programming language
SDL - Simple Directmedia Layer
ssr-proxy-js - A Server-Side Rendering Proxy focused on customization and flexibility!