A common meta thing that I need in python is to find the version of a package.
Most of the time I reach for
package_name.__version__, but that does not
In searching the internet for an answer nearly every one of them pointed me to
__version__. This works for most projects, but is simply a convention, its
not required. Not all projects implement a
__version__, but most do. I've
never seen it lie to me, but there is nothing stopping someone from shipping
I appreciate it
While its not required its super handy and easy for anyone to remember off the
top of their head. It makes it easy to start debugging differences between
what you have vs what you see somewhere else. You can do this by dropping a
__version__ variable inside your
## __init__.py __version__ = 1.0.0
stack overflow saves the day
Special thanks to this Stack Overflow post for answering this question for me.
Your next option is to reach into the package metadata of the package that you are interested in, and this has changed over time as highlighted in the stack overflow post.
for Python >= 3.8:
from importlib.metadata import version version('markata') # `0.3.0.b4`
I only really use python >= 3.8 these days, but if you need to implement it for an older version check out the stack overflow post.
use the command line
Another common option uses pip at the command line.
❯ pip show markata Name: markata Version: 0.3.0b4 Summary: Static site generator plugins all the way down. Home-page: https://markata.dev Author: Waylon Walker Author-email: [email protected] License: MIT Location: /home/waylon/git/waylonwalker.com/.venv/lib/python3.11/site-packages Requires: anyconfig, beautifulsoup4, checksumdir, diskcache, feedgen, jinja2, more-itertools, pathspec, pillow, pluggy, pymdown-extensions, python-frontmatter, pytz, rich, textual, toml, typer Required-by:
And if the package implements a command line its common to ship a version
command such as
❯ markata --version Markata CLI Version: 0.3.0.b4
Well we have a cli tool that wraps around piptools and we wanted to include the
version of piptools in the comments that it produces dynamically. This is why
I wanted to dynamically grab the version inside python without shelling out to
pip show. Now along with the version of our internal tool you will get the
piptools even though
piptools does not ship a
In the end, I am glad I learned that its so easy to use the more accurate
package metadata, but still appreciate packages shipping
__version__ for all
of us n00b's out here.