rules_python
Bazel
rules_python | Bazel | |
---|---|---|
7 | 136 | |
495 | 22,315 | |
0.4% | 0.5% | |
9.5 | 10.0 | |
8 days ago | 6 days ago | |
Starlark | Java | |
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
-
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
-
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).
-
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.
-
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).
-
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", )
Bazel
-
Hello World
Wow, if you curl it, there's a lot of boilerplate code there.
Maybe built using Bazel?
https://bazel.build
-
Things I learned while building projects with NX
Bazel by Google
-
Show HN: Flox 1.0 – Open-source dev env as code with Nix
Luckily a feature to limit the disk cache size is in development: https://github.com/bazelbuild/bazel/issues/5139
-
How to write unit tests in C++ relying on non-code files?
This is a problem that Bazel (https://bazel.build) solves in a very convenient way. You can just keep using the paths relative to the repository root, and as long as you properly declare your test needs that file it will access it without problems. Or you can use the runfile libraries to access them too.
-
blade-build VS Bazel - a user suggested alternative
2 projects | 28 Jan 2024
- Bazel 7.0 LTS
-
My first Software Release using GitHub Release
When doing research for this lab exercise I looked at both vcpkg and conan. Both are package managers that would automate the installation and configuration of my program with its dependencies. However, when it came to releasing and sharing my program my options were limited. For example, the central public registry for conan packages is conan-center, but these packages are curated and the process is very involved. There was no way conan-center would accept a class project like mine. Alternatively, I could host a conan package on a public Artifactory repository, but accessing the package requires users to add the repository to their conan remote. This already sounded like too many steps to expect regular users to follow - I already haven't setup any conan remotes, there's no way I could expect regular users to know about conan remotes, let alone have conan installed on their system. After discussing with people online and consulting my instructor, I ultimately decided to do a GitHub release. However, in the future I was encouraged to look into using CMake or bazel.
-
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 👇
- Bazel
-
A Modern C Development Environment
> None of this solves C's only REAL problem (in my opinion) which is the lack of dependency management.
Bazel solves this really nicely, I know some people have strong opinions on it but I cannot recommend it enough
https://bazel.build/
What are some alternatives?
uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
Buck - A fast build system that encourages the creation of small, reusable modules over a variety of platforms and languages.
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
nx - Smart Monorepos · Fast CI
black - The uncompromising Python code formatter
meson - The Meson Build System
python-streams - A Library to support Writing concise functional code in python
Gradle - Adaptable, fast automation for all
bazel-coverage-report-renderer - Haskell rules for Bazel.
ninja - a small build system with a focus on speed
TypeRig - Proxy API and Font Development Toolkit for FontLab
turborepo - Incremental bundler and build system optimized for JavaScript and TypeScript, written in Rust – including Turborepo and Turbopack. [Moved to: https://github.com/vercel/turbo]