CalcMySky is a software package that simulates scattering of light by the atmosphere to render daytime and twilight skies (without stars). Its primary purpose is to enable realistic view of the sky in applications such as planetaria. Secondary objective is to make it possible to explore atmospheric effects such as glories, fogbows etc., as well as simulate unusual environments such as on Mars or an exoplanet orbiting a star with a non-solar spectrum of radiation.

This package consists of three parts:

• calcmysky utility that does the precomputation of the atmosphere model to enable rendering.

• libShowMySky library that lets the applications render the atmosphere model.

• ShowMySky preview GUI that makes it possible to preview the rendering of the atmosphere model and examine its properties.

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

This package provides build downsampled previews of Space Telescope products.

Astropy is a single core package for Astronomy in Python. It contains much of the core functionality and some common tools needed for performing astronomy and astrophysics.

This package provides a Python implementation for computations of the position and velocity of an earth-orbiting satellite, given the satellite’s TLE orbital elements from a source like https://celestrak.org/.

It implements the most recent version of SGP4, and is regularly run against the SGP4 test suite to make sure that its satellite position predictions agree to within 0.1 mm with the predictions of the standard distribution of the algorithm. This error is far less than the 1–3 km/day by which satellites themselves deviate from the ideal orbits described in TLE files.

LibXISF is C++ library that can read and write XISF files produced by PixInsight. It implements XISF 1.0 specification.

radiospectra provides support for some type of radio spectra in solar physics.

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.

sunraster is an Python library that provides the tools to read in and analyze spectrogram data.

The spherical_geometry library is a Python package for handling spherical polygons that represent arbitrary regions of the sky.

Python read-only implementation of the EventIO file format.

This package implements a funtionality for hierarchical analysis of strong lensing systems to infer lens properties and cosmological parameters simultaneously. It allows to fit lenses with measured time delays, imaging information, kinematics constraints and standardizable magnifications with parameters described on the ensemble level.

This package provides schema definitions for the Data Formats For Gamma-Ray Astronomy.

specutils is a Python package for representing, loading, manipulating,and analyzing astronomical spectroscopic data. The generic data containers and accompanying modules provide a toolbox that the astronomical community can use to build more domain-specific packages. For more details about the underlying principles, see APE13.

APLpy is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. The module uses matplotlib, a powerful and interactive plotting package. It is capable of creating output files in several graphical formats, including EPS, PDF, PS, PNG, and SVG.

Main features:

• Make plots interactively or using scripts

• Show grayscale, colorscale, and 3-color RGB images of FITS files

• Generate co-aligned FITS cubes to make 3-color RGB images

• Make plots from FITS files with arbitrary WCS (e.g. position-velocity)

• Slice multi-dimensional FITS cubes

• Overlay any number of contour sets

• Overlay markers with fully customizable symbols

• Plot customizable shapes like circles, ellipses, and rectangles

• Overlay ds9 region files

• Overlay coordinate grids

• Show colorbars, scalebars, and beams

• Customize the appearance of labels and ticks

• Hide, show, and remove different contour and marker layers

• Pan, zoom, and save any view as a full publication-quality plot

• Save plots as EPS, PDF, PS, PNG, and SVG

This package provides tools for machine learning and data mining in astronomy.

This package provides a Python package to calculate gravitational-wave sensitivity curves for pulsar timing arrays.

Features:

• pulsar transmission functions

• inverse-noise-weighted transmission functions

• individual pulsar sensitivity curves

• pulsar timing array sensitivity curves as characteristic strain, strain sensitivity or energy density

• power-law integrated sensitivity curves

• sensitivity sky maps for pulsar timing arrays

This package provides a Centre de Données astronomiques de Strasbourg implementation in Java of the Hierarchical Equal Area isoLatitude Pixelization of a sphere tesselation.

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 Square Kilometre Array (SKA) Science Data Processor (SDP) function library for radio astronomy.

CRDS is a package used for working with astronomical reference files for the HST and JWST telescopes. CRDS is useful for performing various operations on reference files or reference file assignment rules. CRDS is used to assign, check, and compare reference files and rules, and also to predict those datasets which should potentially be reprocessed due to changes in reference files or assignment rules. CRDS has versioned rules which define the assignment of references for each type and instrument configuration. CRDS has web sites corresponding to each project http://hst-crds.stsci.edu or https://jwst-crds.stsci.edu/ which record information about reference files and provide related services.

Weightwatcher is a program hat combines weight-maps, flag-maps and polygon data in order to produce control maps which can directly be used in astronomical image-processing packages like Drizzle, Swarp or SExtractor.

UNSIO provides an API for performing input and output operations on different kinds of n-body file formats (nemo, Gadget binaries 1 and 2, Gadget hdf5, Ramses).

STPSF produces simulated PSFs for the James Webb Space Telescope, NASA's flagship infrared space telescope. STPSF can simulate images for any of the four science instruments plus the fine guidance sensor, including both direct imaging, coronagraphic, and spectroscopic modes.