Add scib-rapids to scverse ecosystem packages

[maarten-devries]

Name of the tool: scib-rapids

Short description: GPU-accelerated single-cell integration benchmarking metrics using RAPIDS (cuML, CuPy) as a drop-in replacement for the JAX-based metrics in scib-metrics.

How does the package use scverse data structures: scib-rapids takes AnnData objects as input throughout its API, reading embeddings, neighbors graphs, and cluster labels from the standard AnnData slots (e.g. obsm, obsp, obs), consistent with the scverse ecosystem conventions.

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Mandatory

• The code is publicly available under an OSI-approved license (BSD-3-Clause)
• The package provides versioned releases
• The package can be installed from a standard registry (PyPI: pip install scib-rapids)
• Automated tests cover essential functions of the package and a reasonable range of inputs and conditions
• Continuous integration (CI) automatically executes these tests on each push or pull request
• The package provides API documentation via a website (https://scib-rapids.readthedocs.io/)
• The package uses scverse datastructures where appropriate (AnnData)
• I am an author or maintainer of the tool and agree on listing the package on the scverse website

Recommended

• Package announcement on scverse communication channels
• The package provides tutorials (or "vignettes") that help getting users started quickly
• The package uses the scverse cookiecutter template