cookiecutter
Poetry
Our great sponsors
cookiecutter | Poetry | |
---|---|---|
56 | 377 | |
21,538 | 29,397 | |
1.2% | 2.3% | |
8.6 | 9.6 | |
3 days ago | 2 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | 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.
cookiecutter
-
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.
-
FastStream: Python's framework for Efficient Message Queue Handling
Install the cookiecutter package using the following command:
-
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
-
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.
-
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
-
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?
-
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
-
New tool: Souce code generator from a given template
Also cookiecutter.
-
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.
Poetry
-
Understanding Dependencies in Programming
You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come in. These tools create a virtual environment for each project, separating the project's dependencies from the system-wide Python environment and other projects.
-
Implementing semantic image search with Amazon Titan and Supabase Vector
Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:
-
From Kotlin Scripting to Python
Poetry
-
How to Enhance Content with Semantify
The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:
-
Uv: Python Packaging in Rust
Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?
-
Boring Python: dependency management (2022)
Based on this comment 5 days ago[0], it's working? I'm not sure didn't dig in too far but based on that comment it seems fair to say that it's not fully Poetry's fault because torch removed hashes (which poetry needs to be effective) for a while only recently adding it back in.
Not sure where I would stand if I fully investigated it tho.
[0] https://github.com/python-poetry/poetry/issues/6409#issuecom...
-
Fun with Avatars: Crafting the core engine | Part. 1
We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment.
-
Python Packaging, One Year Later: A Look Back at 2023 in Python Packaging
Here are the two main packaging issues I run into, specifically when using Poetry:
1) Lack of support for building extension modules (as mentioned by the article). There is a workaround using an undocumented feature [0], which I've tried, but ultimately decided it was not the right approach. I still use Poetry, but build the extension as a separate step in CI, rather than kludging it into Poetry.
2) Lack of support for offline installs [1], e.g. being able to download the dependencies, copy them to another machine, and perform the install from the downloaded dependencies (similar to using "pip --no-index --find-links=."). Again, you can work around this (by using "poetry export --with-credentials" and "pip download" for fetching the dependencies, then firing up pypiserver [2] to run a local PyPI server on the offline machine), but ideally this would all be a first class feature of Poetry, similar to how it is in pip.
I don't have the capacity to create Pull Requests for addressing these issues with Poetry, and I'm very grateful for the maintainers and those who do contribute. Instead, on the linked issues I share my notes on the matter, in the hope that it may at least help others and potentially get us closer to a solution.
Regardless, I'm sticking with Poetry for now. Though to be fair, the only other Python packaging tools I've used extensively are Pipenv and pip/setuptools. It's time consuming to thoroughly try out these other packaging tools, and is generally lower priority than developing features/fixing bugs, so it's helpful to read about the author's experience with these other tools, such as PDM and Hatch.
[0] https://github.com/python-poetry/poetry/issues/2740
-
Introducing Flama for Robust Machine Learning APIs
We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.
-
How do you resolve dependency conflicts?
I started using poetry. The problem is poetry will not install if there is dependency conflict and there is no way to ignore: github
What are some alternatives?
copier - Library and command-line utility for rendering projects templates.
Pipenv - Python Development Workflow for Humans.
Jinja2 - A very fast and expressive template engine.
PDM - A modern Python package and dependency manager supporting the latest PEP standards
backstage - Backstage is an open platform for building developer portals
hatch - Modern, extensible Python project management
try - Dead simple CLI tool to try Python packages - It's never been easier! :package:
pyenv - Simple Python version management
bashplotlib - plotting in the terminal
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
qbatch
virtualenv - Virtual Python Environment builder