libskry implements the lucky imaging principle of astronomical imaging: creating a high-quality still image out of a series of many thousands) low quality ones

hvpy is a Python API wrapper around the formal https://api.helioviewer.org/docs/v2/.

This package provides a Python module to various STScI image array manipulation functions.

This package includes a plugin for the Python library ASDF to add support for reading and writing various compression algorithms including: Blosc, LZ4 Frame, Zstandard.

The BayesicFitting package is a python version of the the fitter classes in HCSS. HCSS was the all encompassing software system for the operations and analysis of the ESA satellite Herschel.

Skyfield computes positions for the stars, planets, and satellites in orbit around the Earth.

This package provides a sunpy FIDO plugin for accessing data in the Solar Orbiter Archive.

This package provides Python implementation of ASDF - a proposed next generation interchange format for scientific data. ASDF aims to exist in the same middle ground that made FITS so successful, by being a hybrid text and binary format: containing human editable metadata for interchange, and raw binary data that is fast to load and use. Unlike FITS, the metadata is highly structured and is designed up-front for extensibility.

Glue is a python project to link visualizations of scientific datasets across many files.

STScI tools and algorithms used in calibration pipelines.

This package implements functionality of spectroscopic reduction in observations from Optical and Near-infrared spectroscopy instruments.

pyregion is a python module to parse ds9 region files. It also supports ciao region files. Features:

• ds9 and ciao region files.

• (physical, WCS) coordinate conversion to the image coordinate.

• convert regions to matplotlib patches.

• convert regions to spatial filter (i.e., generate mask images)

ZodiPy is an package for simulating zodiacal light in intensity for arbitrary solar system observers.

This package provides a Python Module to Interact with NASA's Astrophysics Data System.

This package supports the creation of a combined header for a FITS file based on the contents of the headers of a set of input FITS images. A rules file defines what keywords will be present in the combined output header as well as how the output value will be determined from the set of values from all the input image headers.

Ginga is a toolkit designed for building viewers for scientific image data in Python, visualizing 2D pixel data in numpy arrays. It can view astronomical data such as contained in files based on the FITS (Flexible Image Transport System) file format. It is written and is maintained by software engineers at the National Astronomical Observatory of Japan (NAOJ), the Space Telescope Science Institute (STScI), and other contributing entities.

The Ginga toolkit centers around an image display object which supports zooming and panning, color and intensity mapping, a choice of several automatic cut levels algorithms and canvases for plotting scalable geometric forms. In addition to this widget, a general purpose "reference" FITS viewer is provided, based on a plugin framework. A fairly complete set of standard plugins are provided for features that we expect from a modern FITS viewer: panning and zooming windows, star catalog access, cuts, star pick/FWHM, thumbnails, etc.

skyfield computes positions for the stars, planets, and satellites in orbit around the Earth. Its results should agree with the positions generated by the United States Naval Observatory and their Astronomical Almanac to within 0.0005 arcseconds (half a mas or milliarcsecond).

The casa-formats-io package is a small package which implements functionality to read data stored in CASA formats (such as .image datasets). This implementation is independent of and does not use casacore.

stsci.imagestats is a package designed to compute various statistics on image data using sigma-clipping iterations. It is designed to replicate core behaviour of the IRAF's imstatistics task.

pysiaf is a python package to access, interpret, maintain, and generate Handling of Science Instrument Aperture Files, in particular for JWST. Tools for applying the frame transformations, plotting, comparison, and validation are provided.

This package provides a Python library for reading from and writing to FITS files using the CFITSIO library. Among other things, it can

• read and write image, binary, and ascii table extensions;

• read arbitrary subsets of tables in a lazy manner;

• query the rows and columns of a table;

• read and write header keywords;

• read and write Gzip files.

ASTROALIGN is a python module that will try to align two stellar astronomical images, especially when there is no WCS information available.

IRAF is the Image Reduction and Analysis Facility, a general purpose software system for the reduction and analysis of astronomical data. IRAF was written by the NOAO in Tucson, Arizona. This package provides a community successor of the last IRAF release from 2013.

This package provides a collection of Space Telescope Science Institute utility functions.