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Pipflow is built for developers who deploy their Python software using Docker and Cloud Native technologies. When building docker images our constraints are:

  • The more slim the image, the better.
  • The less image layers, the better.
  • Don't reinvent the wheel by installing a new package manager in your Dockerfile. These tools tend to use lock files, which are fine in general, but in Docker they are redundant because we already have a way to pin dependencies: Docker image layers.

This leave us with one option: Continue to use plain old pip, but create some new workflows that improve the developer experience.

For example, Pipflow replaces this workflow:

$ pip3 install <new-package>
$ pip3 freeze | grep <new-package> >> requirements.txt
$ docker build ... # (A redudant install)

with this:

$ pipflow add <package>


Install pipflow on your HOST OS only (macOS, Windows, Linux etc). Do not add Pipflow to your requirements.txt.

pip3 install pipflow


Add a new package

pipflow add <package-name>

Remove a package

pipflow remove <package-name>

Upgrade a package version

pipflow upgrade <package-name>

Upgrade all packages

pipflow upgrade-all

Vew all packages eligible for upgrade

pipflow view-all


MIT Copyright (c) 2021 Michael.