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

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

astroterm is a terminal-based star map written in C. It displays the real-time positions of stars, planets, constellations, and more, all within your terminal - no telescope required!

This package provides base classes and command-line tools for implementing calibration pipeline software.

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

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.

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

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.

SEP makes the core algorithms of sextractor available as a library of stand-alone functions and classes. These operate directly on in-memory arrays (no FITS files or configuration files). The code is derived from the Source Extractor code base (written in C) and aims to produce results compatible with Source Extractor whenever possible. SEP consists of a C library with no dependencies outside the standard library, and a Python module that wraps the C library in a Pythonic API. The Python wrapper operates on NumPy arrays with NumPy as its only dependency.

This package provides a tool to create Calibration References Data System-formatted reference files for James Webb Space Telescope from a set of input dark current files and a set of flat field files.

This package includes an extension for the Python library asdf to add support for reading and writing chunked Zarr arrays, a file storage format for chunked, compressed, N-dimensional arrays based on an open-source specification.

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

Astrocut provides tools for making cutouts from sets of astronomical images with shared footprints. It is under active development.

Three main areas of functionality are included:

• solving the specific problem of creating image cutouts from sectors of Transiting Exoplanet Survey Satellite full-frame images

• general fits file cutouts including from single images and sets of images with the shared WCS/pixel scale

• cutout post-processing functionality, including centering cutouts along a path (for moving targets) and combining cutouts

PySM generates full-sky simulations of Galactic emissions in intensity and polarization relevant to Cosmic Microwave Background experiments. It is a large refactor of PySM 2 focused on reducing memory usage, improving performance and run in parallel with MPI.

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 set of tools for the modelling of magnetic field data. It is a SunPy affiliated package and is built on top of sunpy and astropy.

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).

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

This package implements a reader for CORSIKA binary output files using NumPy.

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

DRMS module provides an easy-to-use interface for accessing HMI, AIA and MDI data with Python. It uses the publicly accessible JSOC (http://jsoc.stanford.edu/) DRMS server by default, but can also be used with local NetDRMS sites.

Astral is a Python module that calculates times for various positions of the sun: dawn, sunrise, solar noon, sunset, dusk, solar elevation, solar azimuth, rahukaalam, and the phases of the moon.

Tempo2 is a pulsar timing package, based on the old FORTRAN TEMPO code to address some shortcomings in that code for high precision pulsar timing. See related paper https://ui.adsabs.harvard.edu/abs/2006MNRAS.369..655H/abstract.

Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.