pyenv
Simple Python version management (by pyenv)
virtualenv
Virtual Python Environment builder (by pypa)
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pyenv | virtualenv | |
---|---|---|
260 | 10 | |
36,626 | 4,710 | |
2.9% | 1.4% | |
8.9 | 8.4 | |
17 days ago | 3 days ago | |
Roff | Python | |
MIT License | MIT License |
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.
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Setup and Use Pyenv in Python Applications
For more information visit: pyenv repository
- 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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Manage your Python Project End-to-End with PDM
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.
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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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Is KDE Desktop really snappier than XFCE these days as claimed?
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.
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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
virtualenv
Posts with mentions or reviews of virtualenv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-09.
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Setup and use Virtualenv in Python Applications
For more information visit: virtualenv documentation.
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How to Create Virtual Environments in Python
Python's venv module is officially recommended for creating virtual environments since Python 3.5 comes packaged with your Python installation. While there still are additional older tools available, such as conda and virtualenv, if you are new to virtual environments, it is best to use venv now.
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Integrating Python's Virtualenv with Fish shell Without Overcomplicated Frameworks
Despite these attractive attributes, many developers I've come across don't prefer Fish shell, primarily due to integration gaps with tools like Python's virtualenv. So, in this article, I'm offering a simple solution for automatic virtualenv activation for Fish shell, steering clear of resource-intensive frameworks like oh-my-fish that often slow down the shell.
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How Python virtual environments work
`virtualenv` still exists and is still actively developed. It's true that Python 3 ships with `venv` but I think `virtualenv` offers some additional features.
https://github.com/pypa/virtualenv
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macOS Dev Setup
virtualenv is a tool that creates an isolated Python environment for each of your projects.
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How to build your own LinkedIn Profile Scraper in 2022
Python is the chosen language for this tutorial and as you can guess some precautions should be done to make sure that the environment is setup correctly and the main OS I'll use is Ubuntu(a Linux distro) virtual environment is a tool that helps you to isolate your code from the rest of the system. It is a good idea to create a virtual environment for your project.
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What is the official "preferred" way to install pip and virtualenv systemwide?
$ curl -O https://github.com/pypa/virtualenv/raw/master/virtualenv.py$ python virtualenv.py my_new_env$ . my_new_env/bin/activate(my_new_env)$ pip install ... Or something entirely different?
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Fish 3.4.0
I've been using Fish for years and spend my entire day working with Python. Python's virtualenv has an `activate.fish` command, I've never had any problems with it. Additionally, we have a ton of internal tooling built in a fabfile, so I've written a couple of snippets of fish that automatically activate that .venv (Poetry managed) whenever I cd into a directory that has one, and also expands a bunch of env vars into the shell session. I've also got this feature request in on the virtualenv repo in the hope that one day we can have activate.fish emit an event - https://github.com/pypa/virtualenv/issues/1456
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What happened when your CI is stopping you from releasing?
We of cause, like all good developers do, put the error message online and look for clues, we quickly found a GitHub issue and boi, we are not the only souls that got crushed by a "timely" release of virtualenv just a few hours before us. Since the lastest version of virtualenv got installed every time we create the CI build job on Travis, it fails even we have done nothing. Of cause we didn't point fingers at other maintainers, they are just as hardworking as us and it's human to make mistakes. We are faced with 2 options, roll back to the previous release or wait for the patch of virtualenv to get released. As the devs of virtualenv did a lighting fast patch, we have chosen option 2.
- How to make a Python package in 2021
What are some alternatives?
When comparing pyenv and virtualenv 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
Pipenv - Python Development Workflow for Humans.
rez - An integrated package configuration, build and deployment system for software
miniforge - A conda-forge distribution.
Pew - A tool to manage multiple virtual environments written in pure python
Autoenv - Directory-based environments.
SDKMan - The SDKMAN! Command Line Interface
virtualenvwrapper