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Autoenv Alternatives
Similar projects and alternatives to Autoenv
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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flet
Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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not-a-package-manager
utilities to facilitate working with codebases that don't ascribe to normal package management paradigms, e.g. ML research code that can be cloned but not installed.
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pyautoenv
Automatically activate and deactivate Python environments as you move around the file system.
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s2i-python-container
Python container images based on Red Hat Software Collections and intended for OpenShift and general usage, that provide a platform for building and running Python applications. Users can choose between Red Hat Enterprise Linux, Fedora, and CentOS based images.
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SaaSHub
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Autoenv discussion
Autoenv reviews and mentions
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Using Uv and PEP 723 for Self-Contained Python Scripts
I have a somewhat particular setup where I use conda to manage my envs, and autoenv[0] to ensure the env for a given project is active once I'm in the folder structure. So there's a .env file containing "conda activate " in each. I also use Emacs as my sole IDE, but there are quite a few instances where support falls short for modern workflows. I use the pylsp language server, and it's only able to provide completions, etc for native libraries, since by default it doesn't know how to find the envs containing extra 3p packages.
And so I wrote a patcher[1] that searches the project folder and parents until it finds an appropriate .env file, and uses it to resolve the path to the project's env. With the latest changes to the patcher it now uses the output from "uv sync", which is the path to a standalone script's env, as well as the traditional "source venv_path/bin/activate" pattern to resolve envs for uv-managed projects.
[0] https://github.com/hyperupcall/autoenv
- 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?
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A note from our sponsor - SaaSHub
www.saashub.com | 15 May 2025
Stats
hyperupcall/autoenv is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Autoenv is Shell.