mise
Poetry
mise | Poetry | |
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46 | 377 | |
6,749 | 29,552 | |
- | 1.3% | |
9.9 | 9.7 | |
5 days ago | 7 days ago | |
Rust | Python | |
MIT 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.
mise
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Mise is a polyglot tool version manager
Where are you getting "mise uses asdf" from? mise is simply compatible with all asdf plugins. Not the same thing.
It's even said almost at the top of the README.md in the "30 seconds demo" section:
"The following shows using mise to install different versions of node. Note that calling which node gives us a real path to node, not a shim."
https://github.com/jdx/mise?tab=readme-ov-file#30-second-dem...
So yes, mise does not use shims. It only manipulates $PATH. I did benchmarks a while ago and that definitely and consistently has shaved some milliseconds off of the startup times of my tools.
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Install Asdf: One Runtime Manager to Rule All Dev Environments
mise borrows the plugins from asdf, which also makes it non-cross platform. Interesting discussion on this topic on their GitHub: https://github.com/jdx/mise/discussions/66
Solutions considered include adopting the vfox plugin system or transpiling all asdf plugins to ShellJs.
Now I know that vfox exists.
- Show HN: I made a multiple runtime version manager that can be used on Windows
- Mise-en-place – The front-end to your dev env
- Mise-en-place: The front-end to your dev env
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Pyenv – lets you easily switch between multiple versions of Python
Why not just use a tool like asdf (https://asdf-vm.com/) or mise (https://mise.jdx.dev/)?
These tools have the advantage of not being multi-taskers and can manage version for all your tools. You wouldn’t need pyenv and npm and rvm and…
We’ve even started committing the .mise.toml files for projects to our repos. That way, since we work on multiple projects that may need multiple versions of the same tool, it’s handled and documented.
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Difftastic, a structural diff tool that understands syntax
direnv + mise does exactly that. When I cd to various directories I get different env vars, it's pretty neat. Setting aliases would just be a case of adding them.
https://github.com/jdx/mise/discussions/1525 for an example of how I use direnv with mise.
https://mise.jdx.dev/direnv.html
https://mise.jdx.dev/templates.html
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Experimenting with Modern UI Alternatives in Rails
Installed bun js runtime (I used mise, btw)
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Show HN: Flox 1.0 – Open-source dev env as code with Nix
Not nix based, but I really like https://github.com/jdx/mise too to manage dev tools.
It’s a modern version of https://github.com/asdf-vm/asdf written in Rust.
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A Journey to Find an Ultimate Development Environment
The purpose of a version manager is to help you navigate or install any tools for development easily. Version Manager can be one tool for each dependency (e.g. NVM, g) or One tool for all dependencies (e.g. asdf, mise).
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?
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
Pipenv - Python Development Workflow for Humans.
pyenv-win - pyenv for Windows. pyenv is a simple python version management tool. It lets you easily switch between multiple versions of Python. It's simple, unobtrusive, and follows the UNIX tradition of single-purpose tools that do one thing well.
PDM - A modern Python package and dependency manager supporting the latest PEP standards
homebrew-tap - Homebrew Tap of HashiCorp products and tools
hatch - Modern, extensible Python project management
aqua - Declarative CLI Version manager written in Go. Support Lazy Install, Registry, and continuous update with Renovate. CLI version is switched seamlessly
pyenv - Simple Python version management
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
zsh-autoswitch-virtualenv - 🐍 ZSH plugin to automatically switch python virtualenvs (including pipenv and poetry) as you move between directories
virtualenv - Virtual Python Environment builder