Bug Report: Missing Support for Latest NumPy Versions (>=2.2 or 2.3.x)

[xgboosted]

Current Behaviour

ydata-profiling cannot be installed alongside the latest versions of numpy (>=2.2, 2.3.x) and pandas (>=2.3.x) due to strict dependency requirements. The current release restricts numpy to <2.2, while pandas 2.3.x requires numpy>=1.26.0, and the latest numpy is 2.3.3.

Expected Behaviour

ydata-profiling should support the latest numpy and pandas versions so it can be used in modern data science environments.

This issue blocks adoption in projects that require up-to-date scientific Python stacks. Please update ydata-profiling to support the latest numpy releases (>=2.2, including 2.3.x) and ensure compatibility with current pandas versions.

Thank you!

Data Description

N/A

Code that reproduces the bug

Steps to reproduce the behavior:
1. Create a new Python environment
2. Run:
   
   pip install numpy==2.3.3 pandas==2.3.3 ydata-profiling==4.17.0
   
3. Observe the dependency conflict error:
   
   ERROR: Cannot install -r requirements.txt (line 21), -r requirements.txt (line 3) and numpy==2.3.3 because these package versions have conflicting dependencies.
   The conflict is caused by:
       The user requested numpy==2.3.3
       pandas 2.3.3 depends on numpy>=1.26.0; python_version >= "3.12"
       ydata-profiling 4.17.0 depends on numpy<2.2 and >=1.16.0

pandas-profiling version

4.17.0

Dependencies

- Python Version: 3.12.10
 - ydata-profiling Version: 4.17.0
 - numpy Version: 2.3.3
 - pandas Version: 2.3.3

OS

Ubuntu 24.04

Checklist

• There is not yet another bug report for this issue in the issue tracker
• The problem is reproducible from this bug report. This guide can help to craft a minimal bug report.
• The issue has not been resolved by the entries listed under Common Issues.

[jack-mcivor]

Why so many upper-bounds? I see from this discussion there was plans to remove them? #1293 (comment)

You may have seen, but there is a strong argument for not including upper-bound constraints here https://iscinumpy.dev/post/bound-version-constraints/

[xgboosted]

That was a good decision to not include the upper bound for key Python packages, but then why was it not implemented yet?

numpy, scipy, pandas, matplotlib; these 4 are the essential libs that should have the bleeding edge support in every aspiring Python project.