pip vs easy_install in Python
|
Feature |
Pip |
Easy_install |
|---|---|---|
|
Package Installation |
Installs packages from PyPI (Python Package Index) |
Installs packages from PyPI |
|
Dependency Resolution |
Advanced dependency resolution mechanism, capable of handling complex dependency graphs |
Less sophisticated dependency resolution, may struggle with complex dependencies |
|
Virtual Environments |
Supports virtual environments, allowing isolation of project dependencies |
Does not support virtual environments |
|
Requirements Files |
Supports requirements.txt files for specifying project dependencies |
Lacks support for requirements files |
|
Package Management |
Provides commands for listing, upgrading, and uninstalling packages |
Limited package management capabilities |
|
Compatibility |
Compatible with both Python 2 and Python 3 |
Primarily used with Python 2 |
|
Popularity |
Widely adopted within the Python community |
Usage has declined in favor of pip |
Difference Between pip and easy_install in Python
Python’s popularity is partly due to its many pre-written code packages that simplify development. Two major tools for managing these packages are pip and easy_install. In this article, we’ll look at how they’re alike and different, so you can choose the best one for our projects.