fractal-analytics-platform / fractal-tasks-core

Main tasks for the Fractal analytics platform
https://fractal-analytics-platform.github.io/fractal-tasks-core/
BSD 3-Clause "New" or "Revised" License
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Add APX package to the task list on doc page #752

Closed jluethi closed 2 weeks ago

jluethi commented 3 weeks ago

Let's also add the APX package to the list of task packages: https://github.com/Apricot-Therapeutics/APx_fractal_task_collection

Given that it has a long list of somewhat evolving tasks: Do we just link to the package for the list of available tasks?

@adrtsc Would you be fine with APX showing up here? https://fractal-analytics-platform.github.io/fractal-tasks-core/all_tasks/ Would you have a summary of the package scope? e.g. this package provides converters for IC6K, tasks for X etc.

tcompa commented 3 weeks ago

Given that it has a long list of somewhat evolving tasks: Do we just link to the package for the list of available tasks?

There is no problem in updating the list automatically before building the docs on GitHub, as introduced in #759:

image


Would you have a summary of the package scope? e.g. this package provides converters for IC6K, tasks for X etc.

As of #759, we support adding a description field to the package.

adrtsc commented 3 weeks ago

Would be great to have the APx collection show up there! As for the scope, maybe the initial paragraph of the github README would be enough:

The APx Fractal Task Collection is mainainted by Apricot Therapeutics AG, Switzerland. This is a collection of tasks intended to be used in combination with the Fractal Analytics Platform maintained by the BioVisionCenter Zurich (co-founded by the Friedrich Miescher Institute and the University of Zurich). The tasks in this collection are focused on extending Fractal's capabilities of processing 2D image data, with a special focus on multiplexed 2D image data. Most tasks work with 3D image data, but they have not specifically been developed for this scenario.

tcompa commented 3 weeks ago

OK, thanks!

This is how it would look, as of #759 (and with the new description) image