rules_python
trogon
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rules_python | trogon | |
---|---|---|
7 | 10 | |
495 | 2,344 | |
2.0% | 2.6% | |
9.5 | 6.6 | |
5 days ago | about 1 month ago | |
Starlark | Python | |
Apache License 2.0 | 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.
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", )
trogon
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CLI user experience case study
https://github.com/Textualize/trogon
> Ultimately we would like to formalize this schema and a protocol to extract or expose it from apps. This which would allow Trogon to build TUIs for any CLI app, regardless of how it was built. If you are familiar with Swagger, think Swagger for CLIs.
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Turn (almost) any Python command line program into a full GUI application with one line
If you don't mind TUI, https://github.com/Textualize/trogon "Easily turn your Click CLI into a powerful terminal application"
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Things I've learned about building CLI tools in Python
The folks at Textualize have taken it one step further with https://github.com/Textualize/trogon
It's a neat way to make powerful CLIs more accessible to less-technical users.
- FLaNK Stack Weekly 29 may 2023
- Show HN: Trogon – An automatic TUI for command line apps
- Trogon - Auto-generate a TUI for CLI apps
- Turn your Click CLI into a TUI with a two-line change
What are some alternatives?
uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
typer - Typer, build great CLIs. Easy to code. Based on Python type hints.
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
scikit-llm - Seamlessly integrate LLMs into scikit-learn.
black - The uncompromising Python code formatter
DB-GPT - AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
python-streams - A Library to support Writing concise functional code in python
fastgron - High-performance JSON to GRON (greppable, flattened JSON) converter
bazel-coverage-report-renderer - Haskell rules for Bazel.
jikkou - The Open source Resource as Code framework for Apache Kafka
TypeRig - Proxy API and Font Development Toolkit for FontLab
hsh - better shell