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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.
Autoenv
Posts with mentions or reviews of Autoenv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-22.
- Autoenv: Directory-Based Environments
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How do people manage virtual environments so that they don't take up too much space?
the way I manage (2) is with a kind of DIY pipenv system i've come up with. i have a tool installed in my terminal called autoenv. when i navigate to a new directory, if there's a .env file in it, autoenv executes it. that's basically all autoenv does. I have a .env in my home folder that, among other things, activates my "master" venv. when I create a new project that I want to have its own venv, I just add a .env file to that folder to activate it. otherwise, the master venv is active whenever I roam around my filesystem, functionally serving as a default environment i reuse.
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Introducing pyautoenv: Activate and deactive python environments as you move around the file system
Inspired by autoenv, pyautoenv hooks into the cd command in your shell and will automatically activate a poetry or venv Python environment if that environment is defined in the directory you're cd-ing into. Zsh, Bash, and PowerShell are supported.
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After using Python for over 2 years I am still really confused about all of the installation stuff and virtual environments
There is an autoenv tool you can use to automatically activate a python virtualenv when you cd into a directory but it’s a little annoying to set up https://github.com/hyperupcall/autoenv
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Repeatedly typing export FLASK_ENV=development and export FLASK_APP=hello.py before running flask
But IMO the best solution by far is to use autoenv. There is autoenv for bash and autoenv for zsh.
- How to activate an environment forever?
DNVM
Posts with mentions or reviews of DNVM.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning DNVM yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing Autoenv and DNVM you can also consider the following projects:
Pipenv - Python Development Workflow for Humans.
Dotnet CLI - The .NET Core command-line (CLI) tools, used for building .NET Core apps and libraries through your development flow (compiling, NuGet package management, running, testing, ...).
Poetry - Python packaging and dependency management made easy
rbenv - Manage your app's Ruby environment
pyenv - Simple Python version management
virtualenvwrapper
rez - An integrated package configuration, build and deployment system for software
virtualenv - Virtual Python Environment builder