Update from update/software-2026-04-26

database/github/0neyun/RapidGBM/metadata.json

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database/github/ARDG-NRAO/LibRA/metadata.json

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database/github/Abhaypru/SpiralMap/metadata.json

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database/github/Alek050/databallpy/metadata.json

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database/github/Allonck/MAS-Skippers-codes/metadata.json

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+        "title": "MASSKIP: Multi-Amplifier Sensing Skipper CCD Pipeline",
+        "url": "https://github.com/Allonck/MAS-Skippers-codes",
+        "name": "MAS-Skippers-codes",
+        "full_name": "Allonck/MAS-Skippers-codes",
+        "html_url": "https://github.com/Allonck/MAS-Skippers-codes",
+        "description": "MASSKIP is a prototype Python pipeline designed for the basic reduction of images acquired with a 16-channel MAS Skipper CCD. It supports MEF (Multi-Extension FITS) files and follows a standard overscan + bias + flat calibration procedure, inspired by data reduction pipelines such as SOAR/Goodman.",
+        "created_at": "2025-04-17T14:08:09Z",
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database/github/Applied-Artificial-Intelligence-Eurecat/acquaount/metadata.json

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database/github/AstroAI-Lab/CODES-Benchmark/metadata.json

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database/github/Astroberta/PyTICS/metadata.json

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database/github/BIMAU/transiflow/metadata.json

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