spatialdata v0.8.0

[regro-cf-autotick-bot]

It is very likely that the current package version for this feedstock is out of date.

Checklist before merging this PR:

• Dependencies have been updated if changed: see upstream
• Tests have passed
• Updated license if changed and license_file is packaged

Information about this PR:

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Pending Dependency Version Updates

Here is a list of all the pending dependency version updates for this repo. Please double check all dependencies before merging.

Name	Upstream Version	Current Version
click	8.4.2
pytorch-cpu	1783021838

Dependency Analysis

Please note that this analysis is highly experimental. The aim here is to make maintenance easier by inspecting the package's dependencies. Importantly this analysis does not support optional dependencies, please double check those before making changes. If you do not want hinting of this kind ever please add bot: inspection: disabled to your conda-forge.yml. If you encounter issues with this feature please ping the bot team conda-forge/bot.

Analysis by grayskull shows a discrepancy between it and the the package's stated requirements in the meta.yaml.

Packages found by grayskull but not in the meta.yaml:

• python {{ python_min }}.*
• distributed >=2026.3.0
• ome-zarr >=0.16.0
• multiscale-spatial-image ==2.0.3
• python >={{ python_min }}
• dask-core >=2026.3.0

Packages found in the meta.yaml but not found by grayskull:

• python 3.11
• ome-zarr >=0.14.0
• multiscale-spatial-image 2.0.3
• pytorch
• distributed <2026.1.2
• python >=3.11
• dask >=2025.12.0,<2026.1.2

_{This PR was created by the conda-forge-bot. The conda-forge-bot is a service to automatically track the dependency graph, migrate packages, and propose package version updates for conda-forge. Feel free to drop us a line if there are any issues! This PR was generated by https://github.com/conda-forge/conda-forge-bot/actions/runs/28630717174 - please use this URL for debugging.}

[conda-forge-admin]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe/meta.yaml) and found it was in an excellent condition.

[jdblischak]

https://github.com/scverse/spatialdata/releases/tag/v0.8.0

scverse/spatialdata@v0.7.3...v0.8.0

[jdblischak]

xref: scverse/spatialdata#1151

[jdblischak]

Upstream uses dask in pyproject.toml but grayskull prefers dask-core. This caused the initial conda solver error (since grayskull applied the updated pin to dask-core but left the existing incompatible pin on dask).

Could/should this recipe use dask-core over dask? I'm not familiar enough with dask to answer that, so for consistency I continued to require dask. spatialdata maintainers, please feel free to assess and update as desired.

https://github.com/conda-forge/dask-core-feedstock
https://github.com/conda-forge/dask-feedstock

[LucaMarconato]

Thanks for flagging this. For dask vs dask-core see here dask/distributed#962 (comment). AFAIU dask should be including both dask-core (equivalent of PyPI's dask) and distributed. Since we depend explicitly on distributed (btw we will drop the dependency after we merge and release scverse/spatialdata#1106), it seems like we should be using dask-core here.