wiimatch is a package that provides core computational algorithms for optimal matching of weighted N-dimensional image intensity data using (multivariate) polynomials.

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.

This package provides a wide variety of utilities, focused primarily on numerical python, statistics, and file input/output. Includes specialized tools for astronomers.

stsci.imagestats is a package designed to compute various statistics on image data using sigma-clipping iterations. It is designed to replicate core behaviour of the IRAF's imstatistics task.

This package implements a functionality for analysing absorption and emission lines in 1-D spectra, especially galaxy and quasar spectra.

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.)

This package supports the creation of a combined header for a FITS file based on the contents of the headers of a set of input FITS images. A rules file defines what keywords will be present in the combined output header as well as how the output value will be determined from the set of values from all the input image headers.

SOXS is a software suite which can create simulated X-ray observations of astrophysical sources with almost any existing or planned X-ray observatory. The goal of SOXS is to provide a comprehensive set of tools to design source models and convolve them with simulated models of X-ray instruments. This package was originally developed to support the Lynx X-ray Observatory mission concept, but has evolved to support other missions as well.

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

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.

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

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

swiftsimio is a toolkit for reading data produced by the SWIFT astrophysics simulation code. It is used to ensure that all data have a symbolic unit attached, and can be used for visualisation. Another key feature is the use of the cell metadata in SWIFT snapshots to enable efficient reading of sub-regions.

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.

This package provides an access to the JWST Science Calibration Pipeline processes data from all JWST instruments and observing modes by applying various science corrections sequentially, producing both fully-calibrated individual exposures and high-level data products (mosaics, extracted spectra, etc.).

ndcube is a package for manipulating, inspecting and visualizing multi-dimensional contiguous and non-contiguous coordinate-aware data arrays.

It combines data, uncertainties, units, metadata, masking, and coordinate transformations into classes with unified slicing and generic coordinate transformations and plotting/animation capabilities. It is designed to handle data of any number of dimensions and axis types (e.g. spatial, temporal, spectral, etc.) whose relationship between the array elements and the real world can be described by WCS translations.

This package provides an astronomical image processing tool - SIRIL. It is specially tailored for noise reduction and improving the signal/noise ratio of an image from multiple captures, as required in astronomy. SIRIL can align automatically or manually, stack and enhance pictures from various file formats, even image sequence files (films and SER files). It works well with limited system resources, like in embedded platforms, but is also very fast when run on more powerful computers and provides conversion to FITS from a large number of image formats.

ndcube is a package for manipulating, inspecting and visualizing multi-dimensional contiguous and non-contiguous coordinate-aware data arrays.

It combines data, uncertainties, units, metadata, masking, and coordinate transformations into classes with unified slicing and generic coordinate transformations and plotting/animation capabilities. It is designed to handle data of any number of dimensions and axis types (e.g. spatial, temporal, spectral, etc.) whose relationship between the array elements and the real world can be described by WCS translations.

This package provides tools to read and analyze data from the IRIS solar-observing satellite.

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 repository contains programs which can be used to compute properties of halos in spherical apertures in SWIFT snapshots. The resulting output halo catalogues can be read using the swiftsimio Python package.

This package provides facilities for reading various formats used to store snapshots, group catalogues and merger trees in Virgo Consortium simulations, including older binary formats which can otherwise be difficult to deal with.

It also provides a collection of MPI parallel algorithms which can be useful for dealing with particle data and a few related utility functions.

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.

pyHalo renders full mass distributions for substructure lensing simulations with gravitational lensing software package lenstronomy. The main purpose of the code is to quickly render full populations of dark matter subhalos and line of sight halos for gravitational lensing simulations. It also transltes halo properties (mass, concentration, redshift, etc) into angular units for lensing computations with lenstronomy.