Python Package Index VS envd

Compare Python Package Index VS envd and see what are their differences

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Python Package Index

A repository of software for the Python programming language

envd

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

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2023-05-01

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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:

Declare the list of dependencies (CUDA, python packages, your favorite IDE, and so on) in build.envd
Simply run envd up.
Develop in the isolated environment.

Python Package Index

Website: pypi.org
$ Details
Platforms: -
Release Date: -

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envd

Website: envd.tensorchord.ai
$ Details: free
Platforms: Mac OSX Linux Windows Kubernetes
Release Date: 2022 June

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Python Package Index features and specs

Extensive Library Collection
PyPI hosts a comprehensive collection of Python libraries and packages, enabling developers to find tools and modules for almost any task, from data analysis to web development.
Ease of Use
The PyPI interface is user-friendly, and installation of packages can be quickly done using pip, Python's package installer. This makes it easy for both beginners and advanced users to manage dependencies.
Community Support
Many PyPI packages are well-documented and supported by a large community of developers, which provides reassurance and assistance through forums, tutorials, and user contributions.
Regular Updates
Packages on PyPI are frequently updated by maintainers to include new features, improvements, and security patches, ensuring that developers have access to the latest and most secure versions.
Open Source
PyPI primarily hosts open-source packages, promoting transparency, collaboration, and the ability to modify packages to better suit individual needs.

Possible disadvantages of Python Package Index

Quality Assurance
Not all packages on PyPI are of high quality or well-maintained. Some may have bugs, lack proper documentation, or not adhere to best practices, requiring users to vet packages carefully.
Security Risks
There is a risk of downloading malicious packages since PyPI allows anyone to upload packages. Users need to be cautious and verify the credibility of the package authors and sources.
Dependency Management
Managing dependencies can become complex, especially for large projects, as conflicts between package versions can arise, leading to potential runtime issues.
Overhead
For smaller projects or those with specific needs, the sheer number of available packages can be overwhelming, making it difficult to find the most suitable one without investing a significant amount of time.
Legacy Packages
Some packages on PyPI may no longer be maintained or updated, which can represent a risk if they become incompatible with newer versions of Python or other dependencies.

envd features and specs

No features have been listed yet.

Python Package Index videos

+ Add

Python Django - Create and deploy packages to PyPI - Python Package Index

envd videos

+ Add

ENVD Summer Webinar Series | Welcome to the Design Buff Family

Category Popularity

0-100% (relative to Python Package Index and envd)

Python Package Index

envd

Translation Service

100 100%

Translation Service

0% 0

Developer Tools

79 79%

Developer Tools

21% 21

Front End Package Manager

86 86%

Front End Package Manager

14% 14

Package Manager

80 80%

Package Manager

20% 20

User comments

Share your experience with using Python Package Index and envd. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Python Package Index seems to be more popular. It has been mentiond 83 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.

Python Package Index mentions (83)

Solving SSL Certificate Verification Issues with pip on macOS
# Check if Python can connect to pypi.org Python -c "import urllib.request; urllib.request.urlopen('https://pypi.org')" # Test where Python is looking for certificates Python -c "import ssl; print(ssl.get_default_verify_paths())" # Check pip configuration Pip config debug. - Source: dev.to / about 1 month ago
What I wish I knew about Python when I started
But let me back up and start from the perspective of a total Python beginner, as that is who this post is intended for. In Python, there are a lot of built-in libraries available to you via the Python Standard Library. This includes packages like datetime which allows you to manipulate dates and times, or like smtplib which allows you to send emails, or like argparse which helps aid development of command line... - Source: dev.to / about 2 months ago
Python Project Setup With uv – Virtual Environments and Package Management
Virtual Environments are isolated Python environments that have their own site-packages. Basically, it means that each virtual environment has its own set of dependencies to third-party packages usually installed from PyPI. - Source: dev.to / 3 months ago
Getting Started With Pipenv
Where can I find packages available for me to use in my project? At https://pypi.org/ of course! - Source: dev.to / 3 months ago
Create a python package and publish.
To upload your package to PyPI, you need to create an account on PyPI. - Source: dev.to / 4 months ago