Skill

Process astronomical data with Python coordinate transforms

Astropy is the core Python package for astronomy, providing coordinate transformations, FITS file operations, cosmological calculations, and essential

Works with fitspython

53
Spark score
out of 100
Updated 4 days ago
Source checked Sep 17, 2026
Version 17.4.0

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Why it matters

Enable astronomical research and data analysis by providing essential Python functionality for coordinate transformations, unit calculations, FITS file operations, cosmological calculations, precise time handling, and astronomical image processing.

Outcomes

What it gets done

01

Transform celestial coordinates between different astronomical reference frames

02

Perform unit and quantity calculations for astronomical measurements

03

Read, write, and manipulate FITS files for astronomical data storage

04

Execute cosmological calculations and handle precise astronomical time operations

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-astropy | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

Astropy

Astropy is the core Python package for astronomy that provides essential functionality for astronomical research and data analysis. It handles coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing. Use Astropy when you need to perform coordinate transformations, work with FITS files, conduct cosmological calculations, handle astronomical time systems, manipulate tabular data, or process astronomical images.

What it does

Astropy is the core Python package for astronomy, delivering essential functionality for astronomical research and data analysis. It handles coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing.

When to use - and when NOT to

Use Astropy when you need to perform coordinate transformations, work with FITS files (the standard format for astronomical images and data), conduct cosmological calculations, handle astronomical time systems, manipulate tabular data, or process astronomical images.

Do not use Astropy if you need general-purpose image processing unrelated to astronomy - standard computer vision libraries would be more appropriate. Avoid it for simple unit conversions that don't require astronomical context, where lighter-weight libraries would suffice.

Inputs and outputs

Users provide astronomical data and specify the type of transformation, calculation, or operation needed.

Astropy returns results based on the requested operations, including coordinate transformations, FITS file operations, cosmological calculations, time handling, tabular data manipulation, and astronomical image processing.

Who it's for

Astropy serves those working with astronomical research and data analysis who need standardized tools for coordinate transformations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing.

Source README

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. Use astropy for coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing.

FAQ

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