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.

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

This package provides tools for COS.

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.

EsoRex is the European Southern Observatory Recipe Execution Tool. It can list, configure and execute Common Pipeline Library-based recipes from the command line.

INDI (Instrument-Neutral Device Interface) is a distributed XML-based control protocol designed to operate astronomical instrumentation. INDI is small, flexible, easy to parse, scalable, and stateless. It supports common DCS functions such as remote control, data acquisition, monitoring, and a lot more.

This package consists of Python replacements for functions that are part of the IDL built-in library or part of astronomical IDL libraries. The emphasis is on reproducing results of the astronomical library functions. Only the bare minimum of IDL built-in functions are implemented to support this.

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.

Python library doing sunrise and sunset time calculation. Takes a WGS84 (GPS) latitude/longitude as input as well as an UTC or local datetime object.

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 implements a reader for CORSIKA binary output files using NumPy.

ImPPG performs Lucy-Richardson deconvolution, unsharp masking, brightness normalization and tone curve adjustment. It can also apply previously specified processing settings to multiple images. All operations are performed using 32-bit floating-point arithmetic.

Supported input formats: FITS, BMP, JPEG, PNG, TIFF (most of bit depths and compression methods), TGA and more. Images are processed in grayscale and can be saved as: BMP 8-bit; PNG 8-bit; TIFF 8-bit, 16-bit, 32-bit floating-point (no compression, LZW- or ZIP-compressed), FITS 8-bit, 16-bit, 32-bit floating-point.

The CPL comprises a set of ISO-C libraries that provide a comprehensive, efficient and robust software toolkit to develop astronomical data-reduction tasks (known as recipes). These data-reduction tasks can then be executed manually by a user, or can be triggered in an automated data-reduction framework (known as pipelines) which are used at ESO to monitor the health status of VLT instruments, for quick-look data processing at the observatory, and the creation of data products available from the ESO archive facility.

astrodata is a package for managing astronomical data through a uniform interface. It is designed to be used with the Astropy package. astrodata was created for use as part of the DRAGONS data reduction pipeline, but it is now implemented to be useful for any astronomical data reduction or analysis project.

Unlike managing files using the astropy.io.fits package alone, astrodata is designed to be extendible to any data format, and to parse, respond to, and store metadata in a consistent, intentional way. This makes it especially useful for managing data from multiple instruments, telescopes, and data generation utilities.

Photutils is an Astropy package for detection and photometry of astronomical sources.

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.

This package implements functionality for simulating X-ray emission from astrophysical sources.

X-rays probe the high-energy universe, from hot galaxy clusters to compact objects such as neutron stars and black holes and many interesting sources in between. pyXSIM makes it possible to generate synthetic X-ray observations of these sources from a wide variety of models, whether from grid-based simulation codes such as FLASH, Enzo, and Athena, to particle-based codes such as Gadget and AREPO, and even from datasets that have been created 'by hand', such as from NumPy arrays. pyXSIM also provides facilities for manipulating the synthetic observations it produces in various ways, as well as ways to export the simulated X-ray events to other software packages to simulate the end products of specific X-ray observatories.

MissFITS is a program that performs basic maintenance and packaging tasks on FITS files:

• add/edit FITS header keywords

• split/join MEF files

• unpack/pack FITS data-cubes

• create/check/update FITS checksums, using R. Seaman's protocol

The iers package provides access to the tables provided by the International Earth Rotation and Reference Systems service, in particular the Earth Orientation data allowing interpolation of published UT1-UTC and polar motion values for given times. The UT1-UTC values are used in Time and Dates (astropy.time) to provide UT1 values, and the polar motions are used in astropy.coordinates to determine Earth orientation for celestial-to-terrestrial coordinate transformations.

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 a flexible toolbox for observation planning and scheduling. When complete, the goal is to be easy for Python beginners and new observers to to pick up, but powerful enough for observatories preparing nightly and long-term schedules.

Features:

• calculate rise/set/meridian transit times, alt/az positions for targets at observatories anywhere on Earth

• built-in plotting convenience functions for standard observation planning plots (airmass, parallactic angle, sky maps)

• determining observability of sets of targets given an arbitrary set of constraints (i.e., altitude, airmass, moon separation/illumination, etc.)

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.

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

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.