session_info outputs version information for modules loaded in the current session, Python, and the OS.
session_info outputs version information for modules loaded in the current session,
Python, the OS, and the CPU. It is designed as a minimum measure to increase
reproducibility and provides similar information as sessionInfo and
devtools::session_info in R.
session_info is particularly useful when conducting exploratory data analysis in
Jupyter notebooks. Listing the version numbers of all loaded modules after
importing them is a simple way to ensure a minimum level of reproducibility
while requiring little additional effort. This practice is useful both when
revisiting notebooks and when sharing them with colleagues. session_info is meant to
complement more robust practices such as frozen virtual environments,
containers, and binder.
session_info can be installed via pip install session_info. It does not depend on a package
manager to find version numbers since it fetches them from the module's version
string. Its only dependency is stdlib_list, which is used to distinguish
between standard library and third party modules.
session_info can be used from a script like so:
import math
import natsort
import pandas
import session_info
session_info.show()
Output:
Session information:
-----
natsort 7.1.1
pandas 1.2.2
session_info 1.0.0
-----
IPython 7.23.0
jupyter_client 6.1.12
jupyter_core 4.7.1
-----
Python 3.9.2 | packaged by conda-forge | (default, Feb 21 2021, 05:02:46) [GCC 9.3.0]
Linux-5.11.13-arch1-1-x86_64-with-glibc2.33
-----
Session information updated at 2021-05-06 09:59
The default behavior is to only output modules not in the standard library,
which is why the math module is omitted above (it can be included by
specifying std_lib=True). To include not only the explicitly imported
modules, but also any dependencies they import internally, specify dependencies=True.
When session_info is invoked from a Jupyter Notebook,
the output is concealed in <details> tags
and will only show when clicked.
Since this saves visual real estate,
any modules imported indirectly as dependencies
will be included by default
and it looks like this:
----- natsort 7.1.1 pandas 1.2.2 session_info 1.0.0 -----
backcall 0.2.0 cython_runtime NA dateutil 2.8.1 decorator 5.0.7 ipykernel 5.5.3 ipython_genutils 0.2.0 jedi 0.18.0 numpy 1.20.2 parso 0.8.2 pexpect 4.8.0 pickleshare 0.7.5 prompt_toolkit 3.0.18 ptyprocess 0.7.0 pygments 2.8.1 pytz 2021.1 six 1.15.0 storemagic NA tornado 6.1 traitlets 5.0.5 wcwidth 0.2.5 zmq 22.0.3
----- IPython 7.23.0 jupyter_client 6.1.12 jupyter_core 4.7.1 ----- Python 3.9.2 | packaged by conda-forge | (default, Feb 21 2021, 05:02:46) [GCC 9.3.0] Linux-5.11.13-arch1-1-x86_64-with-glibc2.33 ----- Session information updated at 2021-05-06 09:59
If you prefer to show the session information without the HTML tags,
you can use session_info.show(html=False) in the notebook
to get the same output as in the first example above.
session_info can also write the module dependencies
to a requirements.txt file,
which is compatible with pip install -r /path/to/requirements.txt.
View the docstring for complete parameter information.
session_info started as minor modifications of py_session, and as it grew it
became convenient to create a new package. session_info was built with the help of
information provided in stackoverflow answers and existing similar packages,
including
FAQs
session_info outputs version information for modules loaded in the current session, Python, and the OS.
We found that session-info demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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