typer
clap-rs
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typer | clap-rs | |
---|---|---|
86 | 154 | |
14,293 | 13,232 | |
- | 2.0% | |
6.7 | 9.6 | |
5 days ago | 7 days ago | |
Python | Rust | |
MIT License | 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.
typer
- Copilot for your GitHub stars
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Things I've learned about building CLI tools in Python
I have been using Typer on every one of my CLI projects which uses Click under the hood. The documentation is fantastic, the CLI app it produces looks great and lets you create things quickly. I high recommend it.
https://typer.tiangolo.com/
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Things to do with standalone script
Adding CLI capabilities. My preferred library here is typer.
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Where to start for managing a Python code base for public distribution
I just heard about this but it seems to be pretty much the type of thing you want and want fast.
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Help on Docstrings
Docstrings are for documenting how a function/ class/ method/ module works. Often you don't need to add a docstring to your main function because no one will be importing it to use elsewhere. And if you want it to run as a CLI, then there are better ways to document the available options. For example, typer does most of it for you, or in click you add the help text to the decorator.
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Which best practices do you follow to build robust & extensible ETL jobs?
Most computing tasks in airflow DAGs are KubernetesPodOperator containing a CLI (Python Typer). It allows us to pass arguments easily to run DAG manually if needed (the new UI to pass arguments to DAG in airflow 2.6 is really nice). Arguments allow us to replay DAG easily (change start / end dates for instance).
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Devs on teams that deploy anytime you want, what does your SDLC workflow look like?
So it's basically the main .gitlab-ci.yml file plus a separate Python CI app using Typer for the AWS instrumentation.
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The different uses of Python type hints
Similarly for Typer, which is literally "the FastAPI of CLIs"[1]. Handy to type your `main` parameters and have CLI argument parsing. For more complicated cases, it's a wrapper around Click.
[1] https://typer.tiangolo.com/
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Command line parser library, which one do you like the most, regardless of language?
interesting that you hate python, but love Click. Did you try Typer which uses Click underneath?
- Typer: Build great CLIs. Easy to code. Based on Python type hints
clap-rs
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Build Your Own curl - Rust
We will be using the library for Clap - A simple-to-use, efficient, and full-featured library for parsing command line arguments and subcommands.
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CLI Contexts
I recently came across this question (and associated answer) on the clap repository. The answer given is a good one. But I wanted to expand with my own findings and practices, which spurred the motivation for this post.
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Getting Started with CLI tools in Rust using Clap
We can also use tuple-like struct syntax and named-field struct syntax for enum variants within our enum; this is because unlike in other OOP languages, Rust enums are actually sum types. You can read more about how powerful Rust enums are in another article we wrote here. You can have optional arguments by simply wrapping the types in Option, but if you want to add a flag to a command you can use bool, since clap recognises that flags are either there or not there. Let's have a look at what this might look like:
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Flow Updater JSON Creator
I began by developing a wrapper for the CurseForge API, which turned out to be a lengthy and challenging process but constituted the bulk of the work. Next, I coded the CLI, which was relatively straightforward. Instead of using the clap crate, a Rust tool for generating CLIs, I opted for the following line of code:
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netcrab: a networking tool
By this time I had already gotten tired of parsing arguments by myself and had looked for something to help with that. I found a really dang good argument parsing library called clap. What makes it so cool is it's largely declarative for common uses. You simply mark up a struct with attributes, and the parser automatically generates the usage and all the argument parsing code.
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Grimoire - A recipe management application.
How CLI arguments are handled (using clap).
- Rust 1.72.0
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I made an alternative --help renderer for clap based applications
Is this just referring to wrapping based on the terminal width? That is supported with the wrap_help feature though I have been considering making it a default feature.
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Looking for advice around project direction using artix-web
CLI, use Clap. If you want to get fancy, use Tui.
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Build a HTTP server with Rust and tokio - Part 1: serving static files
As our CLI is getting more complex, we'll use the clap crate to parse the command line arguments.
What are some alternatives?
click - Python composable command line interface toolkit
structopt - Parse command line arguments by defining a struct.
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
argh - Rust derive-based argument parsing optimized for code size
Gooey - Turn (almost) any Python command line program into a full GUI application with one line
docopt.rs - Docopt for Rust (command line argument parser).
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
argparse-benchmarks-rs - Collected benchmarks for arg parsing crates written in Rust [Moved to: https://github.com/rosetta-rs/argparse-rosetta-rs]
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
easy_flag - Simple command line flag parser for rust.
cement - Application Framework for Python
serde - Serialization framework for Rust