SaaSHub helps you find the best software and product alternatives Learn more →
Manylinux Alternatives
Similar projects and alternatives to manylinux
-
zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
-
-
-
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
-
-
-
glibc-abi-tool
A repository that collects glibc .abilist files for every version and a tool to combine them into one dataset.
-
-
-
-
xwin
A utility for downloading and packaging the Microsoft CRT headers and libraries, and Windows SDK headers and libraries needed for compiling and linking programs targeting Windows.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better manylinux alternative or higher similarity.
manylinux reviews and mentions
Posts with mentions or reviews of manylinux.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-13.
-
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
-
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)
-
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.
- manylinux_2_28 image is published
- manylinux_2_28 image is published (including docker environment)
-
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!
-
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
-
'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).
-
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.
-
A note from our sponsor - SaaSHub
www.saashub.com | 19 Apr 2024
Stats
Basic manylinux repo stats
13
1,345
8.8
4 days ago
pypa/manylinux is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of manylinux is Shell.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com