Software Alternatives & Reviews

envd VS Python Poetry

Compare envd VS Python Poetry and see what are their differences

envd logo envd

Machine learning development environment for data science and AI/ML engineering teams.

Python Poetry logo Python Poetry

Python packaging and dependency manager.
Not present

What is envd?

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:

  1. Declare the list of dependencies (CUDA, python packages, your favorite IDE, and so on) in build.envd
  2. Simply run envd up.
  3. Develop in the isolated environment.
  • Python Poetry Landing page
    Landing page //
    2022-11-12

envd

$ Details
free
Platforms
Mac OSX Linux Windows Kubernetes
Release Date
2022 June

envd videos

ENVD Summer Webinar Series | Welcome to the Design Buff Family

More videos:

  • Review - ENVD First Year Experience | New Student Welcome 2020

Python Poetry videos

My Poetry is BAD

Category Popularity

0-100% (relative to envd and Python Poetry)
Developer Tools
12 12%
88% 88
Kids
0 0%
100% 100
Package Manager
13 13%
87% 87
Front End Package Manager

User comments

Share your experience with using envd and Python Poetry. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Python Poetry seems to be more popular. It has been mentiond 144 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.

envd mentions (0)

We have not tracked any mentions of envd yet. Tracking of envd recommendations started around Nov 2022.

Python Poetry mentions (144)

  • Understanding Dependencies in Programming
    You can manage dependencies in Python with the package manager pip, which comes pre-installed with Python. Pip allows you to install and uninstall Python packages, and it uses a requirements.txt file to keep track of which packages your project depends on. However, pip does not have robust dependency resolution features or isolate dependencies for different projects; this is where tools like pipenv and poetry come... - Source: dev.to / 25 days ago
  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:. - Source: dev.to / 27 days ago
  • How to Enhance Content with Semantify
    The Semantify repository provides an example Astro.js project. Ensure you have poetry installed, then build the project from the root of the repository:. - Source: dev.to / 2 months ago
  • Fun with Avatars: Crafting the core engine | Part. 1
    We will be running this project in Python 3.10 on Mac/Linux, and we will use Poetry to manage our dependencies. Later, we will bundle our app into a container using docker for deployment. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable... - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing envd and Python Poetry, you can also consider the following products

pip - The PyPA recommended tool for installing Python packages.

pipenv - Python Development Workflow for Humans. Contribute to pypa/pipenv development by creating an account on GitHub.

Conda - Binary package manager with support for environments.

Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.

pre-commit by Yelp - A framework for managing and maintaining multi-language pre-commit hooks

Anaconda - Anaconda is the leading open data science platform powered by Python.