macos-cross-compiler
bazel-pycross-zstandard-example
macos-cross-compiler | bazel-pycross-zstandard-example | |
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4 | 2 | |
324 | 2 | |
- | - | |
8.8 | 5.3 | |
3 months ago | 3 months ago | |
Earthly | Starlark | |
GNU General Public License v3.0 only | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
macos-cross-compiler
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I stopped worrying and loved Makefiles
Make is excellent if you use it properly to model your dependencies. This works really well for languages like C/C++, but I think Make really struggles with languages like Go, JavaScript, and Python or when your using a large combination of technologies.
I've found Earthly [0] to be the _perfect_ tool to replace Make. It's a familiar syntax (combination of Dockerfiles + Makefiles). Every target is run in an isolated Docker container, and each target can copy files from other targets. This allows Earthly to perform caching and parallelization for free, and in addition you get lots of safety with containerization. I've been using Earthly for a couple of years now and I love it.
Some things I've built with it:
* At work [1], we use it to build Docker images for E2E testing. This includes building a Go project, our mkdocs documentation, our Vue UI, and a ton of little scripts all over the place for generating documentation, release notes, dependency information (like the licenses of our deps), etc.
* I used it to create my macOS cross compiler project [2].
* A project for playing a collaborative game of Pokemon on Discord [3]
IMO Makefiles are great if you have a few small targets. If you're looking at more than >50 lines, if your project uses many languages, or you need to run targets in a Docker container, then Earthly is a great choice.
[0]: https://earthly.dev/
[1]: https://p3m.dev/
[2]: https://github.com/shepherdjerred/macos-cross-compiler
[3]: https://github.com/shepherdjerred/discord-plays-pokemon
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Show HN: dockerc – Docker image to static executable "compiler"
It will depend heavily on the docker image you're trying to ship. For example with macos-cross-compiler[0] the resulting binary is over 2GB. With python:alpine[1] it's only 25MB.
Because image isn't copied whether the image is 2GB or 25MB the startup time will be nearly instantaneous for both.
The runtime adds 6-7MB of overhead although I expect that this can be reduced to less than 3MB with some work.
[0]: https://github.com/shepherdjerred/macos-cross-compiler
- So You Want to Ship a Command-Line Tool for macOS
- Show HN: macOS-cross-compiler – Compile binaries for macOS on Linux
bazel-pycross-zstandard-example
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Show HN: macOS-cross-compiler – Compile binaries for macOS on Linux
I'll plug some work I've been doing to (attempt to) enable cross compilation of Python wheels. I put together a small example [1] that builds the zstandard wheel, and can build macos wheels on linux and linux wheels on macos using zig cc.
macos wheels must still be adhoc signed (codesign) and binary patched (install_name_tool), so I re-implemented those functions in Python [2].
[1] https://github.com/jvolkman/bazel-pycross-zstandard-example
[2] https://github.com/jvolkman/repairwheel/tree/main/src/repair...
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Boring Python: dependency management (2022)
Probably not what you're looking for, but I put together a demo of actually cross-compiling a wheel the other day: https://github.com/jvolkman/bazel-pycross-zstandard-example
But if you just mean that you want to gather the dependencies for a platform other than your build host: this should be possible with the help of Poetry and PDM since they both perform cross-platform resolution.
What are some alternatives?
dockerc - container image to single executable compiler
zstd - Zstandard - Fast real-time compression algorithm
enroot - A simple yet powerful tool to turn traditional container/OS images into unprivileged sandboxes.
cargo-zigbuild - Compile Cargo project with zig as linker
dockcross - Cross compiling toolchains in Docker images