pyHalo renders full mass distributions for substructure lensing simulations with gravitational lensing software package lenstronomy. The main purpose of the code is to quickly render full populations of dark matter subhalos and line of sight halos for gravitational lensing simulations. It also transltes halo properties (mass, concentration, redshift, etc) into angular units for lensing computations with lenstronomy.

uranimator is a CLI tool that works with your existing (code uraniborg) install to create animations. See how the sky evolves over a million years or what traveling to a star 100 light years away looks like.

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

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 implements a reader for CORSIKA binary output files using NumPy.

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

casa_cube is a python package that provides an interface to data cubes generates by CASA or Gildas. It allows the user to perform simple tasks such plotting given channel maps, moment maps, line profile in various units, correcting for cloud extinction, reconvolving with a beam taper, trimming a cube. The syntax is similar to pymcfost to perform quick and easy comparison with models.

This package provides ASDF schemas for validating World Coordinate System (WCS) tags. Users should not need to install this directly; instead, install an implementation package such as gwcs.

This package provides pydantic typing support for astropy unit types. Can be used to de(serialize) astropy quantities and units.

Types:

• AstroPydanticUnit: an overlay for astropy.units.UnitBase (all unit types).

• AstroPydanticQuantity: an overlay for astropy.units.Quantity, including array types.

• AstroPydanticTime: an overlay for astropy.time.Time.

• AstroPydanticICRS: an overlay for astropy.coordinates.ICRS and astropy.coordinates.SkyCoord.

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

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.

SunPy is package for solar physics and is meant to be a free alternative to the SolarSoft data analysis environment.

It includes an interface for searching and downloading data from multiple data providers, data containers for image and time series data, commonly used solar coordinate frames and associated transformations, as well as other functionality needed for solar data analysis.

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.

This package provides a CIANNA - a general-purpose deep learning framework primarily developed and used for astronomical data analysis.

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

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 data content for Celestia.

• Scientific Data Base

• Texture maps

• 3D Models

This package provides Python implementation of ASDF - a proposed next generation interchange format for scientific data. ASDF aims to exist in the same middle ground that made FITS so successful, by being a hybrid text and binary format: containing human editable metadata for interchange, and raw binary data that is fast to load and use. Unlike FITS, the metadata is highly structured and is designed up-front for extensibility.

PyCPL provides Python3 language bindings for the complete programming API of the European Southern Observatory Common Pipeline Library toolkit, including the CPL plugin interface.

Python read-only implementation of the EventIO file format.

This package implements functionality of spectroscopic reduction in observations from Optical and Near-infrared spectroscopy instruments.

UNSIO provides an API for performing input and output operations on different kinds of n-body file formats (nemo, Gadget binaries 1 and 2, Gadget hdf5, Ramses).

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.

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.