[JOSS review] Installing with Python 3.13 fails on my computer

[felixchenier]

I created a fresh conda environment with python=3.13 from conda-forge, on macOS.

However, pip install databallpy can't install pandas. I am pretty confident this has something to do with the numpy < 2 requirement.

Then I tried with a new fresh conda environment with python=3.10, and it installed correctly.

Is there a reason to stick to numpy < 2 ? I am sure it causes some problems here and there, but very soon it will become the default so I guess it would be a good idea to tackle this problem soon.

[felixchenier]

openjournals/joss-reviews#10223

[Alek050]

Hi @felixchenier,

Thanks for reaching out. However, I am not able to reproduce this error and I am a bit surprised by the numpy < 2 observation.

First,
I used conda-forge as well to create a new environment with python 3.13. Running pip install databallpy worked fine for me and raised no errors (on MacOS as well).

Second,
I downloaded the files for version 0.7.2 of databallpy from pypi directly and the pyproject.toml states as dependency for numpy: numpy = "^2.1".

The current version on the develop branch also support python 3.14 and has updated numpy dependencies based on python version to keep support for all versions of python:

numpy = [
    { version = ">=1.26.4,<2.3.0", python = ">=3.10,<3.14" },
    { version = ">=2.3.2,<3.0.0", python = ">=3.14" }
]

In short, I am not sure why this error emerges and numpy < 2 is enforced on your device. I am planning on releasing a new version of databallpy this afternoon or tomorrow to fix some of the issues that were recently raised and hope that version will fix some of the errros you faced. In the mean time, if you have any other idea of why the build fails feel free to share your findings!

[Alek050]

I just released version 0.7.3 which I hope fixes this issue as well, can you check that for me?

[felixchenier]

It now installed without problem using pip in a fresh conda install, and I can import databallpy without issue. In the title it's Python 3.13 that I've written but I meant 3.14 (the default installed with conda). I think you can close this issue now.