Pipenv
Python Development Workflow for Humans. (by pypa)
pyenv
Simple Python version management (by pyenv)
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Pipenv | pyenv | |
---|---|---|
33 | 260 | |
24,583 | 36,626 | |
0.4% | 2.9% | |
9.5 | 8.9 | |
8 days ago | 15 days ago | |
Python | Roff | |
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.
Pipenv
Posts with mentions or reviews of Pipenv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
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Pipenv VS instld - a user suggested alternative
2 projects | 9 Dec 2023
- Managing dependencies - pipenv?
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Adding Virtual Environments to Git Repo
pipenv solves this by having both kinds of requirement files: Pipfile lists package names and known constraints on which versions can be used, while Pipfile.lock gives specific package versions with hashes. Theoretically the Pipfile (and its lockfile) format were supposed to be a standard that many different tools could use, but I haven't seen it get adopted much outside of pipenv itself, so I'm not sure if it's really going to catch on.
- Renaming folders is usually a bad idea right?
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A not so unfortunate sharp edge in Pipenv
* Tons of longstanding bugs that fail to be resolved in any sort of timely manner like this one: https://github.com/pypa/pipenv/issues/2413
I am sick and tired of the python packaging space pushing this godawful tool for Python. Please just use pip-tools or poetry instead.
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Publish Webhooks From Your FastAPI API With Convoy
ℹ️ You may use a different virtual environment manager like Pipenv or poetry.
- Why does Pipenv install do the same thing as Pipenv install --ignore-pipfile
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pipenv integration with neovim
Hey lua would you mind looking at this question for me? https://github.com/pypa/pipenv/discussions/5411
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Top 10 Python security best practices
Alternatively, you can look into Pipenv, which has a lot more tools to develop secure applications with.
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Why Fedora still has pipenv v2021.5.29? Over five updates since, the last v2022.3.28
https://github.com/pypa/pipenv/releases https://bodhi.fedoraproject.org/updates/?search=pipenv (pipenv-2021.5.29-7.fc35 for the current Fedora release)
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
What are some alternatives?
When comparing Pipenv and pyenv you can also consider the following projects:
Poetry - Python packaging and dependency management made easy
virtualenv - Virtual Python Environment builder
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
PDM - A modern Python package and dependency manager supporting the latest PEP standards
miniforge - A conda-forge distribution.
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
Pew - A tool to manage multiple virtual environments written in pure python
rez - An integrated package configuration, build and deployment system for software
SDKMan - The SDKMAN! Command Line Interface