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.

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

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.

Multidimensional data visualization across files.

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.

This package provides ASDF schemas for validating FITS tags.

Stackistry implements the lucky imaging principle of astronomical imaging: creating a high-quality still image out of a series of many (possibly thousands) low quality ones (blurred, deformed, noisy). The resulting image stack typically requires post-processing, including sharpening (e.g. via deconvolution). Such post-processing is not performed by Stackistry.

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

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.

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.

Generalized World Coordinate System (GWCS) is an Astropy affiliated package providing tools for managing the World Coordinate System of astronomical data.

GWCS takes a general approach to the problem of expressing transformations between pixel and world coordinates. It supports a data model which includes the entire transformation pipeline from input coordinates (detector by default) to world coordinates.

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.

This package provides tools for machine learning and data mining in astronomy.

This package provides HEALPix to the Astropy project.

Radio Beam is a simple toolkit for reading beam information from FITS headers and manipulating beams. Some example applications include:

• Convolution and deconvolution

• Unit conversion (Jy to/from K)

• Handle sets of beams for spectral cubes with varying resolution between channels

• Find the smallest common beam from a set of beams

• Add the beam shape to a matplotlib plot

sunraster is an Python library that provides the tools to read in and analyze spectrogram data.

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

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

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

Cobaya, and Spanish for Guinea Pig) is a framework for sampling and statistical modelling: it allows you to explore an arbitrary prior or posterior using a range of Monte Carlo samplers (including the advanced MCMC sampler from CosmoMC, and the advanced nested sampler PolyChord). The results of the sampling can be analysed with GetDist. It supports MPI parallelization (and very soon HPC containerization with Docker/Shifter and Singularity).

FITS/XISF image viewer with multithreaded image loading. It is intended primarily for viewing astro photos and images with support of following formats:

• FITS 8, 16 bit integer and 32 bit float

• XISF 8, 16 bit integer and 32 bit float

• RAW CR2, DNG, NEF

• JPEG, PNG, BMP, GIF, PBM, PGM, PPM and SVG images

Features:

• using same stretch function as PixInsight

• OpenGL accelerated drawing

• index and search FITS XISF header data

• quick mark images and then copy/move marked files

• convert FITS <-> XISF

• convert FITS/XISF -> JPEG/PNG

• image statistics mean, media, min, max

• support for WCS

• thumbnails

• convert CFA images to colour - debayer

• color space aware

SPISEA is an python package that generates single-age, single-metallicity populations (i.e. star clusters). It gives the user control over many parameters:

• cluster characteristics (age, metallicity, mass, distance)

• total extinction, differential extinction, and extinction law

• stellar evolution and atmosphere models

• stellar multiplicity and Initial Mass Function

• initial-Final Mass Relation

• photometric filters

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.).

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.