As a general rule, we do not pin package versions in our Dockerfile
s.
The dependencies resolution is a difficult thing to do.
This means that packages might have old versions.
Images are rebuilt weekly, so usually, packages receive updates quite frequently.
We pin major.minor version of python, so this will stay the same even after invoking the `mamba update` command.
In order to help to identify packages that can be updated you can use the following helper tool.
It will list all the packages installed in the Dockerfile
that can be updated -- dependencies are
filtered to focus only on requested packages.
make check-outdated/base-notebook
# INFO test_outdated:test_outdated.py:80 3/8 (38%) packages could be updated
# INFO test_outdated:test_outdated.py:82
# Package Current Newest
# ---------- --------- --------
# conda 4.7.12 4.8.2
# jupyterlab 1.2.5 2.0.0
# python 3.7.4 3.8.2