This package provides a Glue plugin for geospatial imagery.

PyERFA is the Python wrapper for the ERFA library (Essential Routines for Fundamental Astronomy), a C library containing key algorithms for astronomy, which is based on the SOFA library published by the International Astronomical Union (IAU). All C routines are wrapped as Numpy universal functions, so that they can be called with scalar or array inputs.

This package provides tools to read and analyze data from the IRIS solar-observing satellite.

Stellarium shows a realistic sky in 3D, just like what you see with the naked eye, binoculars, or a telescope. It can be used to control telescopes over a serial port for tracking celestial objects.

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.

SWarp is a program that resamples and co-adds together FITS images using any arbitrary astrometric projection defined in the WCS standard.

ASTROALIGN is a python module that will try to align two stellar astronomical images, especially when there is no WCS information available.

This package provides schema definitions for the Data Formats For Gamma-Ray Astronomy.

This package provides a cython-optimized implementation of empirical dust exitinction laws found in the literature.

STWCS provides support for WCS distortion models and coordinate transformation for the imaging instruments on the Hubble Space Telescope).

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.

PypeIt is a Python package for semi-automated reduction of astronomical spectroscopic data. Its algorithms build on decades-long development of previous data reduction pipelines by the developers.

It is designed to be used by both advanced spectroscopists with prior data reduction expertise and astronomers with no prior experience of data reduction. It is highly configurable and designed to be applied to any standard slit-imaging spectrograph, including long-slit, multi-slit, as well as cross-dispersed echelle spectra.

This repository contains programs which can be used to compute properties of halos in spherical apertures in SWIFT snapshots. The resulting output halo catalogues can be read using the swiftsimio Python package.

HEALPix of a sphere produces a subdivision of a spherical surface in which each pixel covers the same surface area as every other pixel. This package provides the dynamic library for the C++ language implementation of HEALPix.

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

This package provides a plugin for SiriL, see the installation guide on the project's Wiki.

SiriLic (SiriL's Interactif Companion) is a software for preparing acquisition files (raw, Biases, Flat and Dark) for processing with SiriL software.

Features:

• structuring the SiriL working directory into sub-folders

• convert Raw, Biases , Dark or Flat files into SiriL sequence

• automatically generate the SiriL script according to the files present and the options

• batch process multiple channel and sessions

This package provides a Square Kilometre Array (SKA) Science Data Processor (SDP) function library for radio astronomy.

Astropy is a single core package for Astronomy in Python. It contains much of the core functionality and some common tools needed for performing astronomy and astrophysics.

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

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.

synthesizAR is a Python package for building synthetic solar/stellar active regions comprised of coronal loops. The package allows one to build up a forward-modeled observation of an active region, starting with an observed magnetogram and ending with an synthetic observational data product.

synthesizAR is designed to be modular and extensible. Extensions for new hydrodynamic codes, emission models, or instruments can be easily dropped in. The goal of synthesizAR is to provide an easy-to-use and efficient pipeline for forward-modeling hydrodynamic results from end to end.

Hubble Space Telescope image combination using the drizzle algorithm to combine astronomical images, to model image distortion, to remove cosmic rays, and generally to improve the fidelity of data in the final image.

This package provides a Python module to various STScI image array manipulation functions.

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.