release-please
Poetry
release-please | Poetry | |
---|---|---|
47 | 377 | |
4,227 | 29,552 | |
5.0% | 1.3% | |
8.5 | 9.7 | |
1 day ago | 4 days ago | |
TypeScript | 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.
release-please
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Git commit helper: add emojis to your commits
Using Conventional Commits ⭐ as a standard for your commit messages, makes Semantic Versioning 🔖 as easy as can be, with tools like Conventional Changelog 📄 Standard Version 🔖 and Semantic Release 📦🚀
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How to write GIT commit messages
Conventional Commits
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How to Improve Development Experience of your React Project
We've covered everything about writing well-formatted and structured code without worrying too much about it anymore. The only part we haven't explored yet is linting commit messages. Commitlint will help us here. It allows you to configure any rules you want for the commit message, but we're going to use the Conventional Commits specification, one of the most popular conventions you'll find.
- Release Please
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TypeScript Boilerplate
Commit Management with Conventional Commits: The Conventional Commits methodology is adopted to maintain a clear and structured record of changes with the help of commitlint.
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A Gitlab Review Bot Assistant
Validate if the commit titles adhere to the Conventional Commits Specification in Merge requests.
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Ask HN: Should commit summaries describe the change, or the intent?
Check out https://www.conventionalcommits.org
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Announcing release-plz v0.3.0
FYI there is already a popular tool that does just this with a very similar name: https://github.com/googleapis/release-please
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A clean Git history with Git Rebase and Conventional Commits
The feature commit should have a clear defined message - Don't re-invent here - There exists a fairly used and accepted convention called Conventional Commits, so we are going to use that.
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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From Kotlin Scripting to Python
Poetry
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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?
https://github.com/python-poetry/poetry/issues/6409
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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
[1] https://github.com/python-poetry/poetry/issues/2184
[2] https://pypi.org/project/pypiserver/
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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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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?
semantic-pull-requests - :robot: Let the robots take care of the semantic versioning
Pipenv - Python Development Workflow for Humans.
gitflow - Git extensions to provide high-level repository operations for Vincent Driessen's branching model.
PDM - A modern Python package and dependency manager supporting the latest PEP standards
cz-cli - The commitizen command line utility. #BlackLivesMatter
hatch - Modern, extensible Python project management
commitizen - Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:
pyenv - Simple Python version management
conventional-changelog - Generate changelogs and release notes from a project's commit messages and metadata.
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
semantic-release - :package::rocket: Fully automated version management and package publishing
virtualenv - Virtual Python Environment builder