This package provides a structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, it has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.

This package provides a similar in functionality to the astropy.coordinates module, but with more of an emphasis on efficiency. Some functions are more than 100 times faster than the corresponding functionality in astropy. On the other hand, the API is somewhat more restrictive than the API used by astropy, so the appropriate module to use will depend on your needs.

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.

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.

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 an yt extension package for astrophysical analysis. This package contains functionality for:

• halo finding and analysis

• lightcones

• planning cosmological simulations for making lightcones and lightrays

• exporting to the RADMC-3D radiation transport code

• creating PPV FITS cubes

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

This package provides shared libraries to interface Pascal program with standard astronomy libraries:

• libpasgetdss.so: Interface with GetDSS to work with DSS images.

• libpasplan404.so: Interface with Plan404 to compute planets position.

• libpaswcs.so: Interface with libwcs to work with FITS WCS.

• libpasspice.so: To work with NAIF/SPICE kernel.

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.

Pynbody is an analysis framework for N-body and hydrodynamic astrophysical simulations supporting PKDGRAV/Gasoline, Gadget, Gadget4/Arepo, N-Chilada and RAMSES AMR outputs.

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

MARTINI is a modular package for the creation of synthetic resolved HI line observations (data cubes) of smoothed-particle hydrodynamics simulations of galaxies. The various aspects of the mock-observing process are divided logically into sub-modules handling the data cube, source, beam, noise,spectral model and SPH kernel. MARTINI is object-oriented: each sub-module provides a class (or classes) which can be configured as desired. For most sub-modules, base classes are provided to allow for straightforward customization. Instances of each sub-module class are given as parameters to the Martini class; a mock observation is then constructed by calling a handful of functions to execute the desired steps in the mock-observing process.

sbpy is a package for small-body planetary astronomy. It is meant to supplement functionality provided by astropy with functions and methods that are frequently used in the context of planetary astronomy with a clear focus on asteroids and comets. Features:

• observation planning tools tailored to moving objects

• photometry models for resolved and unresolved observations

• wrappers and tools for astrometry and orbit fitting

• spectroscopy analysis tools and models for reflected solar light and emission from gas

• cometary gas and dust coma simulation and analysis tools

• asteroid thermal models for flux estimation and size/albedo estimation

• image enhancement tools for comet comae and PSF subtraction tools

• lightcurve and shape analysis tools

• access tools for various databases for orbital and physical data, as well as ephemerides services

PypeIt is a Python package for semi-automated reduction of astronomical spectroscopic data. Its algorithms build on decades-long development of previous data reduction pipelines by the developers.

It is designed to be used by both advanced spectroscopists with prior data reduction expertise and astronomers with no prior experience of data reduction. It is highly configurable and designed to be applied to any standard slit-imaging spectrograph, including long-slit, multi-slit, as well as cross-dispersed echelle spectra.

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

Stellarium is a planetarium. It shows a realistic sky in 3D, just like what you see with the naked eye, binoculars, or a telescope. It can be used to control telescopes over a serial port for tracking celestial objects.

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).

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.

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.

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.

FITS/XISF image viewer with multithreaded image loading. It is intended primarily for viewing astro photos and images with support of following formats:

• FITS 8, 16 bit integer and 32 bit float

• XISF 8, 16 bit integer and 32 bit float

• RAW CR2, DNG, NEF

• JPEG, PNG, BMP, GIF, PBM, PGM, PPM and SVG images

Features:

• using same stretch function as PixInsight

• OpenGL accelerated drawing

• index and search FITS XISF header data

• quick mark images and then copy/move marked files

• convert FITS <-> XISF

• convert FITS/XISF -> JPEG/PNG

• image statistics mean, media, min, max

• support for WCS

• thumbnails

• convert CFA images to colour - debayer

• color space aware

This package implements a functionality to produce map based simulations for the Simons Observatory or other CMB experiments. It creates simulated maps in HEALPix and CAR pixelization based on:

• foreground models included in PySM

• custom foregrounds models from the so_pysm_models package

• precomputed Cosmic Microwave Background simulations

• noise simulations based on expected performance and simulated hitmaps

• effect of gaussian beam convolution

PyAVM is a module to represent, read, and write metadata following the AVM standard provided by vamp project.