This package provides a replacement for IRAF STSDAS SYNPHOT and ASTROLIB PYSYNPHOT, utilizing Astropy and covering the non-instrument specific portions of the old packages.

ctaplot provides low-level reconstruction quality-checks metrics computation and vizualisation for Imaging Atmospheric Cherenkov Telescopes such as CTA.

healpy is a Python package to handle pixelated data on the sphere. It is based on the Hierarchical Equal Area isoLatitude Pixelization (HEALPix) scheme and builds with the HEALPix C++ library.

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.

The concept of the pvextractor package is simple - given a path defined in sky coordinates, and a spectral cube, extract a slice of the cube along that path, and along the spectral axis, producing a position-velocity or position-frequency slice.

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.

This package provides a structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, it has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.

This package includes plugins that provide ASDF serialization support for Astropy objects.

PyAVM is a module to represent, read, and write metadata following the AVM standard provided by vamp project.

SkyMaker is a program that simulates astronomical images. It accepts object lists in ASCII generated by the Stuff program to produce realistic astronomical fields. SkyMaker is part of the EFIGI development project.

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.

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.

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.

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.

STScI tools and algorithms used in calibration pipelines.

APLpy is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. The module uses matplotlib, a powerful and interactive plotting package. It is capable of creating output files in several graphical formats, including EPS, PDF, PS, PNG, and SVG.

Main features:

• Make plots interactively or using scripts

• Show grayscale, colorscale, and 3-color RGB images of FITS files

• Generate co-aligned FITS cubes to make 3-color RGB images

• Make plots from FITS files with arbitrary WCS (e.g. position-velocity)

• Slice multi-dimensional FITS cubes

• Overlay any number of contour sets

• Overlay markers with fully customizable symbols

• Plot customizable shapes like circles, ellipses, and rectangles

• Overlay ds9 region files

• Overlay coordinate grids

• Show colorbars, scalebars, and beams

• Customize the appearance of labels and ticks

• Hide, show, and remove different contour and marker layers

• Pan, zoom, and save any view as a full publication-quality plot

• Save plots as EPS, PDF, PS, PNG, and SVG

This package provides an astronomical Python package with image processing functions: xyxymatch, geomap.

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

This package provides HEALPix to the Astropy project.

H5plot is a small GUI to view the solutions in an H5parm interactively. It is a spiritual successor to ParmDBplot for quickly reviewing gain solutions generated by NDPPP.

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

Multidimensional data visualization across files.

In EyE an artificial neural network connected to pixels of a moving window (retina) is trained to associate these input stimuli to the corresponding response in one or several output image(s). The resulting filter can be loaded in SExtractor to operate complex, wildly non-linear filters on astronomical images. Typical applications of EyE include adaptive filtering, feature detection and cosmetic corrections.

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.