fpm
Poetry
Our great sponsors
fpm | Poetry | |
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38 | 377 | |
11,028 | 29,316 | |
- | 2.0% | |
2.5 | 9.6 | |
about 11 hours ago | 9 days ago | |
Ruby | Python | |
GNU General Public License v3.0 or later | 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.
fpm
- PackagingCon – a conference only for software package management
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Zrok: open-source peer to peer sharing with ability to selfhost
There is definitely a lot more to building a proper package for wider distribution, but there are some great tools out there for folks wanting to get into it that make it more approachable. I've done my fair share with fpm when learning how the proverbial sausage is made.
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Is it possible to make a CI/CD pipeline to build my own packages and create a repo?
Probably a good moment to point out the existence of fpm.
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Golang Backend in Production
If you're not using docker, you can as an alternative artifact generate distribution-native packages like RPM or DEB files, which can include startup scripts etc. I used fpm for this in the past, now I mostly use docker images.
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Looking for easy way for distribution of crates
Here is the link to fpm: https://github.com/jordansissel/fpm
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makedeb 14.0.0: Create Debian packages directly from PKGBUILDs
Though I imagine this could be integrated into fpm just fine.
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A MultiMC Fork is available in flatpak!
I see in your GitHub issues a lot of requests for different platform builds. To kill about a dozen of those birds with one stone check out FPM https://github.com/jordansissel/fpm
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The Ada ecosystem?
If you need to build packages for many platforms, a tool like fpm https://github.com/jordansissel/fpm can make things a little easier, at the expense of making your source package a bit nonstandard.
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I have made a tool for setting plasma accent color from wallpaper automatically.
FPM Packaging:
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Why is it so difficult for a software application team to support so many distributions via packaging? Is there no machinery to robotically package any application for any of the given major distributions? Why not?
A few years ago I jumped on the fpm train. You might need to couple it up with some scripts, but it greatly simplifies things.
Poetry
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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.
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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:
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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:
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Uv: Python Packaging in Rust
Has anyone else been paying attention to how hilariously hard it is to package PyTorch in poetry?
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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...
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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.
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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
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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.
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Poetry VS instld - a user suggested alternative
2 projects | 9 Dec 2023
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Navigating the Release Journey of txtToWeb
For the release of txtToWeb, I opted for Poetry as my release tool and TestPyPI as the package registry. Poetry's simplicity and TestPyPI's environment for testing releases were crucial factors in my decision.
What are some alternatives?
Pipenv - Python Development Workflow for Humans.
PDM - A modern Python package and dependency manager supporting the latest PEP standards
hatch - Modern, extensible Python project management
pyenv - Simple Python version management
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
virtualenv - Virtual Python Environment builder
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
pipx - Install and Run Python Applications in Isolated Environments
flit - Simplified packaging of Python modules
PyInstaller - Freeze (package) Python programs into stand-alone executables
pip - The Python package installer
rez - An integrated package configuration, build and deployment system for software