If you launch the process as -interactive, you can choose for each individual package whether you'd like to update it or no: $ pip-review -interactive If you perhaps don't wish to update some specific packages, you don't need to run the -auto updater. Update All Packages Interactively with pip-review Running just this command alone - you're set to go. Once you've identified if you'd like to update your packages, you can update them all, automatically, using: $ pip-review -autoĭownloading beautifulsoup4-4.9.3-p圓-none-any.whl (115 kB)

This has the advantage of allowing you to decide which packages you'd like to update, if any at all. Essentially, it calls pip list – outdated. This gives you a report that lists all available package updates. Scipy=1.5.4 is available (you have 1.4.1) Scikit-learn=0.23.2 is available (you have 0.23.1) To check all package versions, you simply run: Sometimes, you'd just want to check if there are any updates, before committing to a potentially long update list. See pip list -h and pip install -hĬheck All Package Versions with pip-review Unrecognised arguments will be forwarded to pip list -outdated and pip install, so you can pass things such as -user, -pre and -timeout and they will do what you expect. auto, -a Automatically install every update found interactive, -i Ask interactively to install updates raw, -r Print raw lines (suitable for passing to pip install) h, -help show this help message and exit If you forget any of these commands or you simply want an overview of the command options: $ pip-review -h Naturally, installing pip-review is done via pip: $ pip install pip-review You can install pip-review in a virtual environment, if you'd like to contain it, or system-wide. In this tutorial, we'll be covering how to update all packages with pip-review. Originally a part of the pip-tools package, it now lives on as a standalone convenience wrapper around pip. It lets you smoothly manage all available PyPi updates with simple commands.

To address this issue, pip-review was created. There are many of them - it's hard to keep track of all the newest versions, and even when you decide what to update, you still have to update each of them manually.

Updating Python packages can be a hassle.

Pip upgrade package