envd
pip
Docker
Python Poetry
Anaconda
Conda
pypyr
Homebrew
pipenv
pip
Python Poetry
pypyr
Conda
Docker
Package Control
Homebrew
envd (ɪnˈvdɪ) is a command-line tool that helps you create the container-based development environment for AI/ML.
Development environments are full of python and system dependencies, CUDA, BASH scripts, Dockerfiles, SSH configurations, Kubernetes YAMLs, and many other clunky things that are always breaking. envd is to solve the problem:
build.envdenvd up.
envd pipenvBased on our record, pipenv seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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... Source: about 1 year ago
Alternatively, you can look into Pipenv, which has a lot more tools to develop secure applications with. - Source: dev.to / over 1 year ago
I’m partial to pipenv but it does depend on pyenv (which works on Windows albeit via WSL, no?). Source: about 2 years ago
I think I went through the same progression — thinking pipenv was the official solution before deciding it isn’t. To add to the confusion, I just realized that pipenv [1] is currently owned by the Python Packaging Authority (PyPA) which also owns the official pip [2] and virtualenv [3]. [1]: https://github.com/pypa/pipenv [2]: https://github.com/pypa/pip [3]: https://github.com/pypa/virtualenv. - Source: Hacker News / about 3 years ago
I personally use Pipenv, it's super simple and it's what virtual environments should've been. Source: about 3 years ago
pip - The PyPA recommended tool for installing Python packages.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Python Poetry - Python packaging and dependency manager.
pypyr - task-runner cli & api for automation pipelines. like writing a script, but without the pain.
Anaconda - Anaconda is the leading open data science platform powered by Python.
Conda - Binary package manager with support for environments.