rules_python
buck2
rules_python | buck2 | |
---|---|---|
7 | 31 | |
495 | 3,300 | |
0.4% | 1.2% | |
9.5 | 10.0 | |
8 days ago | 7 days ago | |
Starlark | Rust | |
Apache License 2.0 | Apache License 2.0 |
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.
rules_python
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Things I've learned about building CLI tools in Python
What's SV?
I honestly don't know why anyone would use that... as in what does Bazel do better than virtually anything else that can provide this functionality. But, I used to be an ops engineer in a big company which wanted everything to be Maven, regardless of whether it does it well or not. So we built and deployed with Maven a lot of weird and unrelated stuff.
Not impossible, but not anything I'd advise anyone to do on their free time.
Specifically wrt' the link you posted, if you look here: https://github.com/bazelbuild/rules_python/blob/main/python/... it says that only pure Python wheels are supported, but that's also a lie, they don't support half of the functionality of pure Python wheels.
So, definitely not worth using, since lots of functionality is simply not there.
- Python coverage in Bazel has been broken for nearly 6 years
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Build faster with Buck2: Our open source build system
Regarding bazel, the rules_python has a py_wheel rule that helps you creating wheels that you can upload to pypi (https://github.com/bazelbuild/rules_python/blob/52e14b78307a...).
If you want to see an approach of bazel to pypi taken a bit to the extreme you can have a look at tensorflow on GitHub to see how they do it. They don't use the above-mentioned building rule because I think their build step is quite complicated (C/C++ stuff, Vida/ROCm support, python bindings, and multiOS support all in one before you can publish to pypi).
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Incremental Builds for Haskell with Bazel
Python support in Bazel now looks more promising with `rules_python`: https://github.com/bazelbuild/rules_python
`rules_go` to my understanding is great too.
Over years, Bazel is not as opinionated as before, mostly because adoptions in different orgs force it to be so.
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Advantages of Monorepos
I have personally run converted build systems to Bazel, and use it for personal projects as well.
Bazel 1.0 was released in October 2019. If you were using it "a few years ago", I'm guessing you were using a pre-1.0 version. There's not some cutoff where Bazel magically got easy to use, and I still wouldn't describe it as "easy", but the problem it solves is hard to solve well, and the community support for Bazel has gotten a lot better over the past years.
https://github.com/bazelbuild/rules_python
The difficulty and complexity of using Bazel is highly variable. I've seen some projects where using Bazel is just super simple and easy, and some projects where using Bazel required a massive effort (custom toolchains and the like).
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Experimentations on Bazel: Python & FastAPI (1)
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") #------------------------------------------------------------------------------ # Python #------------------------------------------------------------------------------ # enable python rules http_archive( name = "rules_python", url = "https://github.com/bazelbuild/rules_python/releases/download/0.2.0/rules_python-0.2.0.tar.gz", sha256 = "778197e26c5fbeb07ac2a2c5ae405b30f6cb7ad1f5510ea6fdac03bded96cc6f", )
buck2
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Tech Debt: My Rust Library Is Now a CDO
https://buck2.build/ https://github.com/facebook/buck2
Rust support is also rather good ;) https://github.com/facebookincubator/reindeer
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Things I learned while building projects with NX
Buck 2 by Facebook
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Declarative Gradle is a cool thing I am afraid of: Maven strikes back
NOTE: I won’t mention SBT and Leiningen here because, with all due respect, they are niche build tools. I also won’t discuss Kobalt for the same reason (besides, it’s no longer actively maintained). Additionally, I won’t touch upon Bazel and Buck in this context, mainly because I’m not very familiar with them. If you have insights or comments about these tools, please feel free to share them in the comments 👇
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Reason to use other Build Tool than Make?
There's a new build system which works on similar ideas to buck: https://buck2.build/
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Hello r/Rust! We are Meta Engineers who created the Open Source Buck2 Build System! Ask us anything! [Mod approved]
I don't think all these pieces are open source yet, but https://github.com/facebook/buck2/blob/main/prelude/rust/rust-analyzer/resolve_deps.bxl is a snippet that is used to drive Rust Analyzer
- [Buck2] Consider WASM Instead of Starlark
- Buck2
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Buck2: Our open source build system
We have a small example project that demonstrates what that would look like with buck2: https://github.com/facebook/buck2/tree/main/examples/bootstrap
- Buck2 from Facebook
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Build faster with Buck2: Our open source build system
There are a few references to NixOS on the code/issues.[0] I wonder what Meta's use case is for NixOS.
[0] https://github.com/facebook/buck2/search?q=nixos&type=issues
What are some alternatives?
uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
turbo - Incremental bundler and build system optimized for JavaScript and TypeScript, written in Rust – including Turbopack and Turborepo.
pip-upgrade - Upgrade your pip packages with one line. A fast, reliable and easy tool for upgrading all of your packages while not breaking any dependencies
Bazel - a fast, scalable, multi-language and extensible build system
black - The uncompromising Python code formatter
HHVM - A virtual machine for executing programs written in Hack.
python-streams - A Library to support Writing concise functional code in python
Vcpkg - C++ Library Manager for Windows, Linux, and MacOS
bazel-coverage-report-renderer - Haskell rules for Bazel.
rfcs - RFC process for Bytecode Alliance projects
TypeRig - Proxy API and Font Development Toolkit for FontLab
PyOxidizer - A modern Python application packaging and distribution tool