PSFEx extracts models of the PSF from FITS images processed with SExtractor, and measures the quality of images. The generated PSF models can be used for model-fitting photometry or morphological analyses.

Astro-SCRAPPY is designed to detect cosmic rays in images (numpy arrays), based on Pieter van Dokkum's L.A.Cosmic algorithm. Much of this was originally adapted from cosmics.py written by Malte Tewes. This is designed to be as fast as possible so some of the readability has been sacrificed, specifically in the C code.

This package provides tools for COS.

The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters.

It provides the following main features:

• A uniform interface to spectral cubes, robust to the wide range of conventions of axis order, spatial projections, and spectral units that exist in the wild.

• Easy extraction of cube sub-regions using physical coordinates.

• Ability to easily create, combine, and apply masks to datasets.

• Basic summary statistic methods like moments and array aggregates.

• Designed to work with datasets too large to load into memory.

This package provides a Glue plugin which adds a 3D scatter plot viewer and a 3D volume rendering viewer.

HEALPix of a sphere produces a subdivision of a spherical surface in which each pixel covers the same surface area as every other pixel. This package provides the dynamic library for the C language implementation of HEALPix.

This package provides a Python client for interacting with a VirES server, of which there are two: VirES for Swarm and VirES for Aeolus

The Python Satellite Data Analysis Toolkit (pysat) provides a simple and flexible interface for robust data analysis from beginning to end - including downloading, loading, cleaning, managing, processing, and analyzing data. Pysat's plug-in design allows analysis support for any data, including user provided data sets.

The drizzle library is a Python package for combining dithered images into a single image. This library is derived from code used in DrizzlePac. Like DrizzlePac, most of the code is implemented in the C language. The biggest change from DrizzlePac is that this code passes an array that maps the input to output image into the C code, while the DrizzlePac code computes the mapping by using a Python callback. Switching to using an array allowed the code to be greatly simplified.

SiriLic (SiriL's Interactif Companion) is a software for preparing acquisition files (raw, Biases, Flat and Dark) for processing with SiriL software.

Features:

• structuring the SiriL working directory into sub-folders

• convert Raw, Biases , Dark or Flat files into SiriL sequence

• automatically generate the SiriL script according to the files present and the options

• batch process multiple channel and sessions

PyERFA is the Python wrapper for the ERFA library (Essential Routines for Fundamental Astronomy), a C library containing key algorithms for astronomy, which is based on the SOFA library published by the International Astronomical Union (IAU). All C routines are wrapped as Numpy universal functions, so that they can be called with scalar or array inputs.

This is a library implementing the simplified perturbations model. It can be used to calculate the trajectory of satellites.

Software for Calibrating AstroMetry and Photometry is a software that computes astrometric projection parameters from source catalogues derived from FITS images. The computed solution is expressed according to the WCS standard. The main features of SCAMP are:

• compatibility with SExtractor FITS or Multi-Extension FITS catalogue format in input

• generation of WCS-compliant and SWarp-compatible FITS image headers in output

• automatic grouping of catalogues on the sky

• selectable on-line astrometric reference catalogue

• automatic determination of scale, position angle, flipping and coordinate shift using fast pattern-matching

• various astrometric calibration modes for single detectors and detector arrays

• combined astrometric solutions for multi-channel/instrument surveys

• highly configurable astrometric distortion polynomials

• correction for differential chromatic refraction

• proper motion measurements

• multi-threaded code that takes advantage of multiple processors

• VOTable-compliant XML output of meta-data

• XSLT filter sheet provided for convenient access to metadata from a regular web browser

This package provides ASDF schemas for validating World Coordinate System (WCS) tags. Users should not need to install this directly; instead, install an implementation package such as gwcs.

This package contains a helper functionality to test ROMAN and JWST.

This package provides a replacement for IRAF STSDAS SYNPHOT and ASTROLIB PYSYNPHOT, utilizing Astropy covering instrument specific portions of the old packages for HST.

This package provides ASDF schemas for validating coordinates tags. Users should not need to install this directly; instead, install an implementation package such as asdf-astropy.

Gpredict is a real-time satellite tracking and orbit prediction application. It can track a large number of satellites and display their position and other data in lists, tables, maps, and polar plots (radar view). Gpredict can also predict the time of future passes for a satellite, and provide you with detailed information about each pass.

Some core features of Gpredict include:

• Tracking of a large number of satellites only limited by the physical memory and processing power of the computer

• Display the tracking data in lists, maps, polar plots and any combination of these

• Have many modules open at the same either in a notebook or in their own windows. The modules can also run in full-screen mode

• You can use many ground stations

• Predict upcoming passes

• Gpredict can run in real-time, simulated real-time (fast forward and backward), and manual time control

• Detailed information both the real time and non-real time modes

• Doppler tuning of radios via Hamlib rigctld

• Antenna rotator control via Hamlib rotctld

This package provides a a simple program to predict the levels of background emission in JWST observations, for use in proposal planning.

It accesses a precompiled background cache prepared by Space Telescope Science Institute. The background cache is hosted by the Mikulski Archive for Space Telescopes (MAST), so you need internet access to run the tool with the remote cache. It is possible to download the full background cache to your local machine.

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.

This package provides an Updated and improved version of the Sparse Lens Inversion Technique, developed within the framework of lens modelling software lenstronomy.

Xplanet renders an image of a planet into an X window or file. All of the major planets and most satellites can be drawn and different map projections are also supported, including azimuthal, hemisphere, Lambert, Mercator, Mollweide, Peters, polyconic, orthographic and rectangular.

uranimator is a CLI tool that works with your existing (code uraniborg) install to create animations. See how the sky evolves over a million years or what traveling to a star 100 light years away looks like.

Astroquery is a package that contains a collection of tools to access online Astronomical data. Each web service has its own sub-package.