pipenv is a Python dependency management tool that combines pip and virtualenv into a single CLI. It manages virtual environments automatically, declares dependencies in a Pipfile, and produces a Pipfile.lock for reproducible installs.

Should I use pipenv or uv?

For new projects, uv resolves dependencies faster, manages Python versions, and uses the standard pyproject.toml format. pipenv remains viable for existing projects that already rely on a Pipfile-based workflow, but the handbook recommends uv as the default for new work.

How do I migrate from pipenv to uv?

Run `uvx migrate-to-uv` in the project directory. The tool reads Pipfile and Pipfile.lock, creates a pyproject.toml with standard metadata, and generates a uv.lock. See the handbook's migration guide for the full walkthrough.

What is the difference between pipenv and pip?

pip installs packages but does not manage virtual environments, lockfiles, or dependency groups. pipenv wraps pip and virtualenv together, adding automatic environment creation, a Pipfile for dependency declarations, and a Pipfile.lock for deterministic installs.

pipenv: Python Dependency Manager

by Tim Hopper · Markdown

Packaging

pipenv is a dependency management tool for Python applications that wraps pip and virtualenv into a single CLI. It creates and manages a virtual environment per project, declares dependencies in a Pipfile, and produces a Pipfile.lock for reproducible installs.

pipenv should not be confused with pipx (installs CLI tools in isolated environments), pip-tools (compiles requirements files), or Pipfile (the dependency format pipenv reads).

When to Use pipenv

pipenv fits teams already committed to a Pipfile-based workflow where the existing lockfile and automatic virtualenv still cover their needs. It predates the pyproject.toml standards that the rest of the packaging ecosystem has adopted, and its dependency format is not read by other tools.

For new projects, uv covers the same application dependency management with faster resolution, Python version management, and a standards-based pyproject.toml workflow. Existing pipenv projects can follow How to migrate from Pipenv to uv.

Key Features

Automatic virtual environment creation and activation via pipenv shell
Dependency declaration in Pipfile with separate [packages] and [dev-packages] sections
Deterministic installs through Pipfile.lock, which pins every transitive dependency with content hashes
Security checking of installed packages via pipenv check
Dependency graph inspection with pipenv graph
.env file loading for environment variables
Custom script shortcuts defined in the [scripts] section of the Pipfile

Pros

Combines virtual environment management and dependency installation in one tool
Lockfile with hash verification provides reproducible, tamper-resistant installs
Separation of runtime and development dependencies is built into the Pipfile format

Cons

Uses the Pipfile format instead of the standard pyproject.toml project metadata, limiting interoperability with other tools
Slower dependency resolution than uv or Poetry
Cannot build or publish packages to PyPI; a separate build tool is still needed for distributable libraries
No built-in Python version management; relies on whatever interpreter is already installed

Learn More

pipenv documentation
Managing Application Dependencies tutorial (Python Packaging User Guide)
pipenv on GitHub
How to migrate from Pipenv to uv
Pipfile reference
What is a lockfile?

Last updated on May 27, 2026

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