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  5. pip vs pipenv

pip vs pipenv

OverviewComparisonAlternatives

Overview

pip
pip
Stacks243
Followers8
Votes0
pipenv
pipenv
Stacks50
Followers6
Votes0
GitHub Stars24.3K
Forks1.9K

pip vs pipenv: What are the differences?

# Differences between pip and pipenv

Pip and pipenv are both package managers used in Python development. However, they differ in several key aspects.

1. **Dependency Management**:
   Pip installs packages globally, affecting all projects, while pipenv creates a virtual environment for each project, isolating dependencies.

2. **Locking Dependencies**:
   Pip does not provide a built-in way to lock dependencies to ensure consistency across environments, whereas pipenv generates a `Pipfile.lock` file that locks dependencies to specific versions.

3. **Environment Management**:
   Pip does not manage virtual environments directly, leaving that task to tools like virtualenv, while pipenv handles both dependency and environment management in one tool.

4. **Workflow Integration**:
   Pip requires additional tools for workflow automation, such as virtualenv and requirements.txt files, while pipenv streamlines the workflow by combining dependency and environment management.

5. **Development vs Production Dependencies**:
   Pip installs all dependencies, including development and production, in one go, which can lead to unnecessary packages in production. In contrast, pipenv segregates development and production dependencies to avoid clutter in the final environment.

6. **Activation of Virtual Environments**:
   With pip, developers need to manually activate and deactivate virtual environments, while pipenv automatically activates and deactivates virtual environments when working within a project.

In Summary, pip and pipenv differ in their approach to dependency management, locking dependencies, environment management, workflow integration, handling of development vs production dependencies, and activation of virtual environments.

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Detailed Comparison

pip
pip
pipenv
pipenv

The PyPA recommended tool for installing Python packages.

Python Development Workflow for Humans.

Statistics
GitHub Stars
-
GitHub Stars
24.3K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
243
Stacks
50
Followers
8
Followers
6
Votes
0
Votes
0

What are some alternatives to pip, pipenv?

google

google

Python bindings to the Google search engine.

requests

requests

Python HTTP for Humans.

pytest

pytest

Pytest: simple powerful testing with Python.

boto3

boto3

The AWS SDK for Python.

pandas

pandas

Powerful data structures for data analysis, time series, and statistics.

numpy

numpy

NumPy is the fundamental package for array computing with Python.

six

six

Python 2 and 3 compatibility utilities.

urllib3

urllib3

HTTP library with thread-safe connection pooling, file post, and more.

python-dateutil

python-dateutil

Extensions to the standard Python datetime module.

flake8

flake8

The modular source code checker: pep8, pyflakes and co.

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