This package provides ASDF schemas for validating coordinates tags. Users should not need to install this directly; instead, install an implementation package such as asdf-astropy.

The CALCEPH Library is designed to access the binary planetary ephemeris files, such INPOPxx and JPL DExxx ephemeris files, (called original JPL binary or INPOP 2.0 or 3.0 binary ephemeris files in the next sections) and the SPICE kernel files (called SPICE ephemeris files in the next sections). At the moment, supported SPICE files are:

• text Planetary Constants Kernel (KPL/PCK) files;

• binary PCK (DAF/PCK) files;

• binary SPK (DAF/SPK) files containing segments of type 1, 2, 3, 5, 8, 9, 12, 13, 17, 18, 19, 20, 21, 102, 103 and 120;

• meta kernel (KPL/MK) files;

• frame kernel (KPL/FK) files (only basic support).

This package provides a set of Python modules for producing simple plots, statistics, common calculations, coordinate conversions, and manipulating FITS images with World Coordinate System (WCS) information.

pixell is a library for loading, manipulating and analyzing maps stored in rectangular pixelization. It is mainly intended for use with maps of the sky (e.g. CMB intensity and polarization maps, stacks of 21 cm intensity maps, binned galaxy positions or shear) in cylindrical projection, but its core functionality is more general.

Gammapy is an Python package for gamma-ray astronomy built on Numpy, Scipy and Astropy. It is used as core library for the Science Analysis tools of the Cherenkov Telescope Array (CTA), recommended by the H.E.S.S. collaboration to be used for Science publications, and is already widely used in the analysis of existing gamma-ray instruments, such as MAGIC VERITAS and HAWC.

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.

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

INDI (Instrument-Neutral Device Interface) is a distributed XML-based control protocol designed to operate astronomical instrumentation. INDI is small, flexible, easy to parse, scalable, and stateless. It supports common DCS functions such as remote control, data acquisition, monitoring, and a lot more.

Multidimensional data visualization across files.

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

MOCPy is a Python library allowing easy creation and manipulation of MOCs (Multi-Order Coverage maps). MOC is an IVOA standard enabling description of arbitrary sky, time, (or frequency) coverages.

This package provides a Python package of Roman Datamodels for the calibration pipelines started with the JWST calibration pipelines. The goal for the JWST pipelines was motivated primarily by the need to support FITS data files, specifically with isolating the details of where metadata and data were located in the FITS file from the representation of the same items within the Python code. That is not a concern for Roman since FITS format data files will not be used by the Roman calibration pipelines.

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

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.

PyVO is a package providing access to remote data and services of the Virtual observatory (VO) using Python.

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.

LePHARE is a code for estimating galaxy redshifts and physical parameters using template fitting.

Python implementation of Parker wind models for planetary atmospheres. p-winds produces simplified, 1-D models of the upper atmosphere of a planet, and perform radiative transfer to calculate observable spectral signatures.

The scalable implementation of 1D models allows for atmospheric retrievals to calculate atmospheric escape rates and temperatures. In addition, the modular implementation allows for a smooth plugging-in of more complex descriptions to forward model their corresponding spectral signatures (e.g., self-consistent or 3D models).

This package provides NASA's Coordinated Data Analysis System Web Service Client Library.

The Coordinated Data Analysis System (CDAS) supports simultaneous multi-mission, multi-instrument selection and comparison of science data among a wide range of current space missions. While CDAWeb provides access to this data through an HTML-based user interface, these Web services provides a (Web) application programmming interface (API) to CDAS. If you are not a software developer and simply want to use the existing web (HTML) interface to CDAS, then return to the main CDAWeb page. If you are developing software that requires science data from any of the CDAWeb datasets, then the CDAS Web services will provide access to the data without having to explicitly find,download, and read the data files.

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.

This package implements a functionality to parse DS9 region files.

RAD is package which defines schemas for the Nancy Grace Roman Space Telescope shared attributes for processing and archive. These schemas are schemas for the ASDF file file format, which are used by ASDF to serialize and deserialize data for the Nancy Grace Roman Space Telescope.

This package provides a tooling for solar X-ray spectroscopy based on SunPy.

CalcMySky is a software package that simulates scattering of light by the atmosphere to render daytime and twilight skies (without stars). Its primary purpose is to enable realistic view of the sky in applications such as planetaria. Secondary objective is to make it possible to explore atmospheric effects such as glories, fogbows etc., as well as simulate unusual environments such as on Mars or an exoplanet orbiting a star with a non-solar spectrum of radiation.

This package consists of three parts:

• calcmysky utility that does the precomputation of the atmosphere model to enable rendering.

• libShowMySky library that lets the applications render the atmosphere model.

• ShowMySky preview GUI that makes it possible to preview the rendering of the atmosphere model and examine its properties.