Orbital is a high level orbital mechanics package for Python.

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.).

This package provides a python library to calculate IACT IRFs and Sensitivities.

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

Pynbody is an analysis framework for N-body and hydrodynamic astrophysical simulations supporting PKDGRAV/Gasoline, Gadget, Gadget4/Arepo, N-Chilada and RAMSES AMR outputs.

This package provides astronomical interstellar dust extinction curves implemented using the astropy.modeling framework.

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.

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 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.

This package provides a Python definition and validation schemata for FITS 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.

sbpy is a package for small-body planetary astronomy. It is meant to supplement functionality provided by astropy with functions and methods that are frequently used in the context of planetary astronomy with a clear focus on asteroids and comets. Features:

• observation planning tools tailored to moving objects

• photometry models for resolved and unresolved observations

• wrappers and tools for astrometry and orbit fitting

• spectroscopy analysis tools and models for reflected solar light and emission from gas

• cometary gas and dust coma simulation and analysis tools

• asteroid thermal models for flux estimation and size/albedo estimation

• image enhancement tools for comet comae and PSF subtraction tools

• lightcurve and shape analysis tools

• access tools for various databases for orbital and physical data, as well as ephemerides services

This package includes a plugin for the Python library ASDF to add support for reading and writing various compression algorithms including: Blosc,LZ4 Frame,Zstandard.

IRAF is the Image Reduction and Analysis Facility, a general purpose software system for the reduction and analysis of astronomical data. IRAF was written by the NOAO in Tucson, Arizona. This package provides a community successor of the last IRAF release from 2013.

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

The mpl_animators package provides a set of classes which allow the easy construction of interactive matplotlib widget based animations.

Astro-SCRAPPY is designed to detect cosmic rays in images (numpy arrays), based on Pieter van Dokkum's L.A.Cosmic algorithm. Much of this was originally adapted from cosmics.py written by Malte Tewes. This is designed to be as fast as possible so some of the readability has been sacrificed, specifically in the C code.

Software for Calibrating AstroMetry and Photometry is a software that computes astrometric projection parameters from source catalogues derived from FITS images. The computed solution is expressed according to the WCS standard. The main features of SCAMP are:

• compatibility with SExtractor FITS or Multi-Extension FITS catalogue format in input

• generation of WCS-compliant and SWarp-compatible FITS image headers in output

• automatic grouping of catalogues on the sky

• selectable on-line astrometric reference catalogue

• automatic determination of scale, position angle, flipping and coordinate shift using fast pattern-matching

• various astrometric calibration modes for single detectors and detector arrays

• combined astrometric solutions for multi-channel/instrument surveys

• highly configurable astrometric distortion polynomials

• correction for differential chromatic refraction

• proper motion measurements

• multi-threaded code that takes advantage of multiple processors

• VOTable-compliant XML output of meta-data

• XSLT filter sheet provided for convenient access to metadata from a regular web browser

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.

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.

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.

Provides DataModel, which is the base class for data models implemented in the JWST and Roman calibration software.

The DKIST package aims to help you search, obtain and use DKIST data as part of your Python software.

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.