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A CLI which aims to provide an npm-like experience when working with Python packages.

Project description Documentation Status PyPI
vpip = venv + pipm

A CLI which aims to provide an npm-like experience when installing Python packages.


  • Install packages to isolated global virtual environments.
    • Executables are linked to the Python Scripts folder so you can still use the CLI without activating the venv.
  • Install packages to a local virtual environment.
    • requirements.txt and setup.cfg are updated automatically.
  • Run commands in the local virtual environment.
  • No lock file.


vpip is hosted on pypi:

pip install vpip

Usage example


  • vpip install - Create/activate a local venv and install all dependencies.
  • vpip install configupdater - Create/activate a local venv, install configupdater, and add to production dependency.
  • vpip install -g youtube-dl - Create a venv under ~/.vpip, install youtube-dl, and link the executable (youtube-dl.exe) to the script folder.


  • vpip uninstall pylint - Activate the local venv, uninstall pylint, and remove pylint from both dev/prod dependency.


  • vpip update pylint - Upgrade pylint to the compatible version.
  • vpip update pylint --latest - Upgrade pylint to the latest release.

Execute command:

  • vpip run python - Launch python REPL in the local venv.
  • vpip run pylint my_proj - Run pylint installed in the local venv.

List dependencies:

  • vpip list - List development/production dependencies.
  • vpip list --outdated - List development/production dependencies that are outdated.
  • vpip list -g - List globally installed packages.


Currently, this CLI is only tested on Windows.


  • 0.2.3 (Feb 10, 2019)
    • Fix: pypi.is_compatible treat 0.1.0 and 0.2.0 as compatible.
    • Fix: don’t include pre-release when checking updates.
    • Update dependencies.
  • 0.2.2 (Feb 2, 2019)
    • Add: link command.
  • 0.2.1 (Nov 16, 2018)
    • Add: user defined commands.
  • 0.2.0 (Nov 16, 2018)
    • Add documentation.
    • Change: console scripts will be overwritten by default, matching pip’s default behavior.
  • 0.1.0 (Nov 13, 2018)
    • First release

Project details

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