asdf-nodejs VS pyenv

I have used a similar tool asdf before, but the previous experience of using asdf was not very good (I don’t mean to step on it~, the ASDF ecosystem is very strong), vfox now supports a lot of plugins, and can already manage the versions of most common mainstream languages.

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.

That's what I would suggest as well. WSL2 and use asdf[1] to manage the erlang/elixir versions.

[1]: https://github.com/asdf-vm/asdf

echo "Installing nodejs with asdf" asdf plugin add nodejs https://github.com/asdf-vm/asdf-nodejs.git asdf install nodejs latest asdf global nodejs latest

However this is still a neat script OP! I was looking for something like this when installing Go for the first time and was contemplating between goenv, gvm, and asdf before settling on brew.

Have you tried this? https://github.com/asdf-vm/asdf-nodejs#nvmrc-and-node-versio...

Also lts, lts-hydrogen, etc are available to install I can see when running `asdf list all nodejs`

How does this compare to nvm or asdf?

I'm not too familiar with installing Ruby on Mac, but you could try using a ruby version manager (like rbenv or asdf).

For more information, or if you need help on this awesome tool, don’t hesitate to head over to asdf-vm.com. Also, feel free to star the GitHub Repository of asdf to support the team behind this project. 😉

nvm was adding a huge delay to my shell startup and starting node. There are faster ones out there like n https://github.com/tj/n or fnm https://github.com/Schniz/fnm I use fnm there are also similar tools that work with multiple languages like asdf https://github.com/asdf-vm/asdf

If you have a requirement for multiple, specific Python versions, why not just use pyenv?

https://github.com/pyenv/pyenv

For more information visit: pyenv repository

Note that virtual environments assume you are using the same global version of Python. Often, this is not the case and additional tools like pyenv can be used alongside virtual environments when you need to switch between versions of Python itself on your local machine.

Python version manager pyenv

First of all, install the Python virtual environment from these links: 1 and 2. I developed my GPT-based API in Python version 3.8.18. Pick any Python versions >= 3.7.

Note: Most modern systems will probably have a system environment that meets this requirement, but if yours does not or if you prefer not to install anything in your system environment (even if it's just PDM) check out asdf or pyenv to help install and manage additional Python environments.

When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.

For Python, with your use case I would avoid system packages, no matter the distro. It sounds like it would be worth setting up pyenv and working exclusively with virtual environments.

For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.