pyenv
Simple Python version management (by pyenv)
volta
Volta: JS Toolchains as Code. ⚡ (by volta-cli)
Our great sponsors
pyenv | volta | |
---|---|---|
259 | 84 | |
35,990 | 9,788 | |
2.2% | 2.6% | |
8.9 | 9.1 | |
7 days ago | 1 day ago | |
Roff | Rust | |
MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
pyenv
Posts with mentions or reviews of pyenv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-25.
- Pyenv – lets you easily switch between multiple versions of Python
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How to Create Virtual Environments in Python
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.
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How to debug Django inside a Docker container with VSCode
Python version manager pyenv
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Integrating GPT in Your Project: Create an API for Anything Using LangChain and FastAPI
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.
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Introducing Flama for Robust Machine Learning APIs
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.
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Python Versions and Release Cycles
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.
- Почему я программирую на Ruby
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Installing kohya_ss GUI on AWS
I had previously installed pyenv, and then used that to install Python 3.10.6. Amazon's Linux 2 has an older version of Python installed by default, and using pyenv seemed like the best solution to installing a newer version of Python. I am also familiar with pyenv, having used it before, and it plays nicely with Pipenv. The Python community has developed a few solutions for package/dependency management in the last several years. There are also a few options when it comes to virtual environment creation and management. Poetry is a popular choice, and while I don't have strong opinions on which solution is best, I tend to use Pipenv. So, considering all the available solutions for handling multiple Python versions, recommending people to use python3.10-venv was a strange decision.
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Getting started with Python and Playwright
We then use pyenv which is a command line tool used to manage multiple versions of Python. This is useful if you are working on multiple projects that use different versions of Python. Check out the GitHub readme of the 'pyenv' project for more information on how to install it on your operating system. For windows check out pyenv-win or you can use venv Python's Built-in Virtual Environment.
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pyenv - manage python versions
There are many more features provided by the pyenv-tool that can be explored, read more at GitHub.
volta
Posts with mentions or reviews of volta.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-25.
- Volta – Fastest Node version manager in Rust
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What's New in Node.js 21
Alternatively, a better way to manage Node.js releases on your machine is to use an environment management tool like Volta that can install and switch between multiple versions seamlessly.
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Best practices for HarperDB projects using TypeScript
To use TypeScript you need Node.js installed, be sure to use the latest LTS version. You can check it by running node -v in your terminal. If you don't have it installed, you can download it here, or use a version manager like asdf, nvm, or even volta.
- INSTALLATION
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Nx + NextJS + Docker - The Nx way: Creating the NextJS application
JS Tool Manager: Volta v1.1.1
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Do you think it is better to default to latest in Nodejs release?
I recommend to use the Volta tool chain manager. Built with Rust, is faster than NVM and allow to pin package and node versions, global binaries and pin project tool versions with automatic package.json pinned versions load.
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Nvm or homebrew for Node install
Listing people's recommendations with links below. I'm glad I asked this question. I received a lot of good recommendations. Thanks All! * nvm (https://nvm.sh) - Simple to use and easy to follow instructions with more in-depth configuration for those that need it. Some experienced a slightly slower terminal. Supports nodjs, iojs, and node version per project/directory. * fnm (https://github.com/Schniz/fnm) - Built with speed in mind. It is like nvm, but faster. Also supports node version per project/directory. * Volta (https://volta.sh/) - Looks easy to use and has good documentation. * asdf (https://asdf-vm.com/) - Supports multiple runtimes and tools by adding plugins. Admittedly, is a bit confusing and more than I need right now (Node, Rust, Python, Ruby, etc.) * Homebrew (https://brew.sh/) - Not a version manager but can act like one by installing nvm, fnm, asdf, or others. Some additional configuration may be needed. * Proto (https://moonrepo.dev/proto) - Supports Bun, Deno, Node.js (npm, pnpm, yarn), Rust, and Go. Also good documentation. Setup looks a bit complex to me :/. * n (https://github.com/tj/n) - Supports Node and npm per project. Simple and to the point.
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The next generation node version manager
I literally just started orchestrating a switch for my team from NVM to Volta because of our desire for our Node/npm version Manager to just get out of the way.
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TypeScript tooling and ecosystem
Prefer Volta over NVM. Much better UX and its inherently cross-platform.
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Held broken package error
Have you tried to use nvm or volta to manage node? https://github.com/nvm-sh/nvm https://volta.sh/
What are some alternatives?
When comparing pyenv and volta you can also consider the following projects:
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
Poetry - Python packaging and dependency management made easy
fnm - 🚀 Fast and simple Node.js version manager, built in Rust
Pipenv - Python Development Workflow for Humans.
miniforge - A conda-forge distribution.
nvm - Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
virtualenv - Virtual Python Environment builder
nvm for Windows - A node.js version management utility for Windows. Ironically written in Go.
Pew - A tool to manage multiple virtual environments written in pure python
n - Node version management
SDKMan - The SDKMAN! Command Line Interface