nitpick
cookiecutter
nitpick | cookiecutter | |
---|---|---|
2 | 56 | |
383 | 21,618 | |
- | 0.9% | |
8.4 | 8.7 | |
8 days ago | 6 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" 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.
nitpick
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Creating A Modern Python Development Environment
It can become tedious maintaining configurations across projects, especially since EditorConfig, pytest-cov, flake8, Mypy and pre-commit all require configuration files. Nitpick is a tool and flake8 plugin that enforces the same configurations across multiple language-independent projects, automating this tedious configuration.
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What is the best strategy to align coding practice across the team?
I'd recommend you have a look at nitpick. It's a tool to align lint/formatting tools across projects.
cookiecutter
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Ask HN: How do you bootstrap your software projects?
Sometimes I use this to abstract boilerplate https://github.com/cookiecutter/cookiecutter
It can use a repo as a template.
It supports some interactive questions to choose options but mostly it is jinja templates.
Having libraries would be another option.
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FastStream: Python's framework for Efficient Message Queue Handling
Install the cookiecutter package using the following command:
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Template for Django Projects
Consider taking a look at cookiecutter to generate projects from templates. There is also cookiecutter-django. As for your environment variables you should have an example .env file containing all the environment variables required by your project (without setting them) that can be safely pushed into your repository for you and other developers to copy into the actual .env file that'll be used by your project (add this file to .gitignore)
- Rmarkdown/Github project organization question
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Python Cookiecutter: Streamline Template Projects for Enhanced Developer Experience
The Python Cookiecutter library revolutionizes project development by offering streamlined approach to creating template projects and improving developer experience.
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What do you use to generate Terraform/Grunt files at scale?
We use cookie cutter templates (the Python project, https://github.com/cookiecutter/cookiecutter ), we prompt for the module & version etc
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A Python package that has a basic app setup inside it
Why not use cookiecutter or a similar tool designed for making these sorts of project templates?
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Sub library with useful code
Is it common? I don't know. Is it useful? Absolutely. There is a tool called cookiecutter that allows you to define your own setup. For example, my cookiecutter setup for a python library is here. You can see what it's like by first installing the cookiecutter cli and then running
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New tool: Souce code generator from a given template
Also cookiecutter.
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Introducing Visual Cookiecutter: a web UI for instanciating cookiecutter templates
Visual Cookiecutter enhances the functionality of cookiecutter by offering unique features such as required fields, conditional input parameters, optional descriptions, and the ability to fix mistakes easily. This package seamlessly integrates with cookiecutter so that all existing templates work out-of-the-box.
What are some alternatives?
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
copier - Library and command-line utility for rendering projects templates.
best-of-python-dev - 🏆 A ranked list of awesome python developer tools and libraries. Updated weekly.
Jinja2 - A very fast and expressive template engine.
rubric - Linter config initializer for Python
backstage - Backstage is an open platform for building developer portals
cookiecutter-poetry-config-management - Cookiecutter python template to get you started without wasting any time setting up virtual environments, vscode python paths, writing settings management code, setting up git pre-commit hooks and much more.
try - Dead simple CLI tool to try Python packages - It's never been easier! :package:
flakehell - Flake8 wrapper to make it nice, legacy-friendly, configurable.
bashplotlib - plotting in the terminal
wemake-python-styleguide - The strictest and most opinionated python linter ever!
qbatch