CZML3 is a Python library to write CZML, a JSON format for describing a time-dynamic graphical scene, primarily for display in a web browser running Cesium.

CCfits is an object oriented interface to the cfitsio library. It is designed to make the capabilities of cfitsio available to programmers working in C++. It is written in ANSI C++ and implemented using the C++ Standard Library with namespaces, exception handling, and member template functions.

This package provides general tools for astronomical time series in Python.

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.

The casa-formats-io package is a small package which implements functionality to read data stored in CASA formats (such as .image datasets). This implementation is independent of and does not use casacore.

ZodiPy is an package for simulating zodiacal light in intensity for arbitrary solar system observers.

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

MARTINI is a modular package for the creation of synthetic resolved HI line observations (data cubes) of smoothed-particle hydrodynamics simulations of galaxies. The various aspects of the mock-observing process are divided logically into sub-modules handling the data cube, source, beam, noise,spectral model and SPH kernel. MARTINI is object-oriented: each sub-module provides a class (or classes) which can be configured as desired. For most sub-modules, base classes are provided to allow for straightforward customization. Instances of each sub-module class are given as parameters to the Martini class; a mock observation is then constructed by calling a handful of functions to execute the desired steps in the mock-observing process.

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.

Astrolib PySynphot (hereafter referred to only as pysynphot) is an object-oriented replacement for STSDAS SYNPHOT synthetic photometry package in IRAF. pysynphot simulates photometric data and spectra as they are observed with the Hubble Space Telescope (HST). Passbands for standard photometric systems are available, and users can incorporate their own filters, spectra, and data.

This package provides an yt extension package for astrophysical analysis. This package contains functionality for:

• halo finding and analysis

• lightcones

• planning cosmological simulations for making lightcones and lightrays

• exporting to the RADMC-3D radiation transport code

• creating PPV FITS cubes

SNData provides an access to data releases published by a variety of supernova (SN) surveys. It is designed to support the development of scalable analysis pipelines that translate with minimal effort between and across data sets. A summary of accessible data is provided below. Access to additional surveys is added upon request or as needed for individual research projects undertaken by the developers.

POLIASTRO is a Python library for interactive Astrodynamics and Orbital Mechanics, with a focus on ease of use, speed, and quick visualization. It provides a simple and intuitive API, and handles physical quantities with units.

Some features include orbit propagation, solution of the Lambert's problem, conversion between position and velocity vectors and classical orbital elements and orbit plotting, among others. It focuses on interplanetary applications, but can also be used to analyze artificial satellites in Low-Earth Orbit (LEO).

SEP makes the core algorithms of sextractor available as a library of stand-alone functions and classes. These operate directly on in-memory arrays (no FITS files or configuration files). The code is derived from the Source Extractor code base (written in C) and aims to produce results compatible with Source Extractor whenever possible. SEP consists of a C library with no dependencies outside the standard library, and a Python module that wraps the C library in a Pythonic API. The Python wrapper operates on NumPy arrays with NumPy as its only dependency.

BayesicFitting is a package for model fitting and Bayesian evidence calculation, it is a Python version of the the fitter classes in HCSS. HCSS was the all encompassing software system for the operations and analysis of the ESA satelite Herschel.

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.

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

qfits is a C library giving access to FITS file internals, both for reading and writing.

Multidimensional data visualization across files.

This package implements a reader for CORSIKA binary output files using NumPy.

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 ASDF schemas for validating FITS tags.

This package provides an extending scripting capabilities, present natively in Siril.

Package Raccoon cleans the "wiggles" (i.e., low-frequency sinusoidal artifacts) in the JWST-NIRSpec IFS (integral field spectroscopy) data. These wiggles are caused by resampling noise or aliasing artifacts.