Pew VS instld

Compare Pew vs instld and see what are their differences.

Pew

A tool to manage multiple virtual environments written in pure python (by pew-org)

instld

The simplest package management (by pomponchik)
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Pew instld
1 11
1,163 112
0.1% -
0.0 9.2
5 months ago 15 days ago
Python Python
MIT License MIT License
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.

Pew

Posts with mentions or reviews of Pew. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

instld

Posts with mentions or reviews of instld. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

What are some alternatives?

When comparing Pew and instld you can also consider the following projects:

pyenv - Simple Python version management

installed - The simplest package management in runtime [Moved to: https://github.com/pomponchik/instld]

Pipenv - Python Development Workflow for Humans.

Cilantropy - :four_leaf_clover: Cilantropy is a Python Package Manager interface created to provide an "easy-to-use" visual and also a command-line interface for Pythonistas. Works great on windows, linux, macos :star:

virtualenvwrapper

virtualenv - Virtual Python Environment builder

try - Dead simple CLI tool to try Python packages - It's never been easier! :package:

Poetry - Python packaging and dependency management made easy

fades - fades is a system that automatically handles the virtualenvs in the cases normally found when writing scripts and simple programs, and even helps to administer big projects.

Autoenv - Directory-based environments.

pip-run - pip-run - dynamic dependency loader for Python