Hello there! I am trying to install kedro_datasets in order to use the pandas.ExcelDataset class to automate an xlsx loading process (not interested in the rest of the pipeline atm). However, when i do

pip install kedro_datasets

a) i see kedro being installed as a dependency, and, b) i get an OSError saying "no directory: /bin/pygrun" (a dependency of antlr4-python3-runtime, which is a package for text processing) >> Is it possible to restrict pip installation just to kedro_datasets, and (even stricter) just to a certain type (e.g. pandas or pandas.ExcelDataset) ? (Googling didn't help with either a or b)

General thoughts: It's best to have something like requirements.txt or pyproject.toml with all requirements specified in one place and then use tools like `pip-tools`(

pip-compile

) or

Poetry

or

uv

to resolve dependencies and versions - it will allow you to handle conflicts. Installing packages one-by-one is a bad practice. --- To address your specific question -

pip install --no-deps <your package>

should install only

<your package>

. Having in mind what I wrote above, I'm not recommending that path.

and to clarify: @George p yes,

kedro

is a dependency of

kedro-datasets

. there was some discussion about this exact topic https://github.com/kedro-org/kedro/issues/2409 and we've been collecting some evidence from users that want to install the Kedro Catalog without the rest of Kedro in https://github.com/kedro-org/kedro/issues/2741 may I ask, what motivates you to install

kedro-datasets

without

kedro

?

Belated reply, but thank you both for the tips and for the links! Interesting to read some of the historical conversations concerning choices when developing kedro.