The FITS "World Coordinate System" (WCS) standard defines keywords and usage that provide for the description of astronomical coordinate systems in a FITS (Flexible Image Transport System) image header.

GLNEMO2 is an interactive 3D visualization program which displays particles positions of the different components (gas, stars, disk, dark matter halo, bulge) of an N-body snapshot. It is a tool for running N-body simulations from isolated galaxies to cosmological simulations. It has a graphical user interface (based on QT 5.X API), uses a fast 3D engine (OPenGL and GLSL), and is generic with the possibility to load different kinds of input files.

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.

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.

Python read-only implementation of the EventIO file format.

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.

romanisim is a Galsim-based simulator of imaging data from the WFI on the Nancy Grace Roman Space Telescope (pronounced roman-eye-sim, stylized Roman I-Sim). It uses Galsim to render astronomical scenes, WebbPSF to model the point spread function, and CRDS to access the calibration information needed to produce realistic WFI images.

PyEsoRex is a command line tool which can serve as a drop-in replacement of EsoRex, which can execute both, existing pipeline recipes implemented using the Common Pipeline Library C API, and recipes implemented using the PyCPL Python API.

This package provides a Low-Frequency Array a large radio telescope Solution Tool.

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

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 general tools for astronomical time series in Python.

PyCPL provides Python3 language bindings for the complete programming API of the European Southern Observatory Common Pipeline Library toolkit, including the CPL plugin interface.

This package provides an Updated and improved version of the Sparse Lens Inversion Technique, developed within the framework of lens modelling software lenstronomy.

This package provides a history of astronomy library. Current Features:

• define standard positional numeral systems with standard arithmetics (BasedReal)

• set your own precision contexts and algorithms on arithmetical operations (PrecisionContext)

• keep track of all operations

• build or import ancient astronomical tables

• perform arithmetical and statistical operations

• support for BasedReal values

• define new calendar types

• date conversions

• collection of mathematical models used for all kinds of geocentric astronomical tables

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.

Halotools is a specialized python package for building and testing models of the galaxy-halo connection, and analyzing catalogs of dark matter halos. The core feature of Halotools is a modular platform for creating mock universes of galaxies starting from a catalog of dark matter halos obtained from a cosmological simulation.

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

Baseband is a package for reading and writing VLBI and other radio baseband files, with the aim of simplifying and streamlining data conversion and standardization.

The FITS "World Coordinate System" (WCS) standard defines keywords and usage that provide for the description of astronomical coordinate systems in a FITS (Flexible Image Transport System) image header.

This package provides ASDF schemas for validating World Coordinate System (WCS) tags. Users should not need to install this directly; instead, install an implementation package such as gwcs.

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.

aiapy is a Python package for analyzing data from the AIA instrument onboard NASA's SDO spacecraft.

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