click-app
typer
| click-app | typer | |
|---|---|---|
| 1 | 88 | |
| 229 | 14,428 | |
| - | - | |
| 5.2 | 8.7 | |
| 16 days ago | 4 days ago | |
| Python | 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.
click-app
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Show HN: Logparser – Alternative to GoAccess Written in Python
Suggestion: take the time to package this up for PyPI as something people can install using "pip install" (or "pipx install").
This is hard the first time you do it, but worth learning because it's a really great way to distribute your Python software.
I'm giving a talk about how to do this at PyGotham next month, but the notes from that talk are already available and may be useful to you: https://github.com/simonw/pygotham-packaging
You may also find this cookiecutter template that I use to build and package Python CLI apps helpful: https://github.com/simonw/click-app
typer
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
- Typer: Python library for building CLI applications
- 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/
What are some alternatives?
pyramid-cookiecutter-starter - A Cookiecutter (project template) for creating a Pyramid starter project with choices for template language (Jinja2, Chameleon, or Mako), persistent backend (none, SQLAlchemy with SQLite, or ZODB), and mapping of URLs to routes (URL dispatch or traversal)
click - Python composable command line interface toolkit
logparser - Command line parser for common log format.
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Gooey - Turn (almost) any Python command line program into a full GUI application with one line
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
python-prompt-toolkit - Library for building powerful interactive command line applications in Python
cement - Application Framework for Python
docopt - This project is no longer maintained. Please see https://github.com/jazzband/docopt-ng
clint - Python Command-line Application Tools
cliff - Command Line Interface Formulation Framework. Mirror of code maintained at opendev.org.
asciimatics - A cross platform package to do curses-like operations, plus higher level APIs and widgets to create text UIs and ASCII art animations