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.

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.

CFITSIO provides simple high-level routines for reading and writing Flexible Image Transport System files that insulate the programmer from the internal complexities of the FITS format. CFITSIO also provides many advanced features for manipulating and filtering the information in FITS files.

This package provides a Python package of Roman Datamodels for the calibration pipelines started with the JWST calibration pipelines. The goal for the JWST pipelines was motivated primarily by the need to support FITS data files, specifically with isolating the details of where metadata and data were located in the FITS file from the representation of the same items within the Python code. That is not a concern for Roman since FITS format data files will not be used by the Roman calibration pipelines.

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

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

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.

The ERFA C library contains key algorithms for astronomy, and is based on the SOFA library published by the IAU.

GenetIC is a code to generate initial conditions for cosmological simulations, especially for zoom simulations of galaxies. It provides support for "genetic modifications" as described by e.g. Roth et al 2015, Rey & Pontzen 2018. It also supports 'splicing' as described by Cadiou et al 2021.

The ccdproc package provides many of the necessary tools for processing of CCD images built on a framework to provide error propagation and bad pixel tracking throughout the reduction process.

This package provides a Python CDF reader toolkit.

It provides the following functionality:

• Ability to read variables and attributes from CDF files

• Writes CDF version 3 files

• Can convert between CDF time types (EPOCH/EPOCH16/TT2000) to other common time formats

• Can convert CDF files into XArray Dataset objects and vice versa, attempting to maintain ISTP compliance

tweakwcs is a package that provides core algorithms for computing and applying corrections to WCS objects such as to minimize mismatch between image and reference catalogs. Currently only aligning images with FITS WCS and JWST gWCS are supported.

Python package for making visuals of gravitational wave signals, specifically pulsar timing array signals.

Python Tools for HST ACS (Advanced Camera for Surveys) Data.

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.

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.

PINT is not TEMPO3 - package providing a Pulsar Timing, written in Python from scratch. Features:

• a robust system to produce high-precision timing results that is completely independent of TEMPO and Tempo2

• a system that is easy to extend and modify due to a good design and the use of a modern programming language, techniques, and libraries

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

This package provides a CIANNA - a general-purpose deep learning framework primarily developed and used for astronomical data analysis.

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

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

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.

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.

The Advanced Scientific Data Format (ASDF) is a next-generation interchange format for scientific data. This package contains the Python implementation of the ASDF Standard.