Skyfield computes positions for the stars, planets, and satellites in orbit around the Earth.

This package implements a functionality of AI-powered automated pipeline for lens modeling, with lenstronomy as the modeling engine.

Features:

• AI-automated forward modeling for large samples of galaxy-scale lenses

• flexible: supports both fully automated and semi-automated (with user tweaks) modes

• multi-band lens modeling made simple

• supports both galaxy–galaxy and galaxy–quasar systems

• effortless syncing between local machines and High-Performance Computing Cluster

SExtractor is a program that builds a catalogue of objects from an astronomical image. Although it is particularly oriented towards reduction of large scale galaxy-survey data, it can perform reasonably well on moderately crowded star fields.

Multidimensional data visualization across files.

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.

Python read-only implementation of the EventIO file format.

The Python Satellite Data Analysis Toolkit (pysat) provides a simple and flexible interface for robust data analysis from beginning to end - including downloading, loading, cleaning, managing, processing, and analyzing data. Pysat's plug-in design allows analysis support for any data, including user provided data sets.

This package provides source-only AOCommon collection of functionality that is reused in several astronomical applications, such as wsclean, aoflagger, DP3 and everybeam.

Baseband is a package for reading and writing VLBI and other radio baseband files, with the aim of simplifying and streamlining data conversion and standardization.

TANGOS is a tool to build a database (along the lines of Eagle or MultiDark) for cosmological and zoom simulations.

Features:

• designed to store and manage results from custom analysis code

• provides web and Python interfaces

• science-focussed queries across entire merger trees, without requiring any knowledge of SQL

• manages the process of populating the database with science data, including auto-parallelising custom analysis

• customization with multiple Python modules such as pynbody or yt to process raw simulation data

• suports file-based database SQLite, server-based MySQL and PostgreSQL

This package provides a range of colormaps designed for scientific use with Matplotlib. It includes perceptually uniform sequential colormaps such as abre, dusk, kepl, and octarine, as well as monochromatic sequential colormaps like blue, green, and red, and others (algae, pastel, and xray).

This package provides a sunpy FIDO plugin for accessing data in the Solar Orbiter Archive.

The spectral-cube package provides an easy way to read, manipulate, analyze, and write data cubes with two positional dimensions and one spectral dimension, optionally with Stokes parameters.

It provides the following main features:

• A uniform interface to spectral cubes, robust to the wide range of conventions of axis order, spatial projections, and spectral units that exist in the wild.

• Easy extraction of cube sub-regions using physical coordinates.

• Ability to easily create, combine, and apply masks to datasets.

• Basic summary statistic methods like moments and array aggregates.

• Designed to work with datasets too large to load into memory.

lenstronomy is a multi-purpose software package to model strong gravitational lenses. lenstronomy finds application for time-delay cosmography and measuring the expansion rate of the Universe, for quantifying lensing substructure to infer dark matter properties, morphological quantification of galaxies, quasar-host galaxy decomposition and much more.

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.

CRDS is a package used for working with astronomical reference files for the HST and JWST telescopes. CRDS is useful for performing various operations on reference files or reference file assignment rules. CRDS is used to assign, check, and compare reference files and rules, and also to predict those datasets which should potentially be reprocessed due to changes in reference files or assignment rules. CRDS has versioned rules which define the assignment of references for each type and instrument configuration. CRDS has web sites corresponding to each project http://hst-crds.stsci.edu or https://jwst-crds.stsci.edu/ which record information about reference files and provide related services.

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

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

The drizzle library is a Python package for combining dithered images into a single image. This library is derived from code used in DrizzlePac. Like DrizzlePac, most of the code is implemented in the C language. The biggest change from DrizzlePac is that this code passes an array that maps the input to output image into the C code, while the DrizzlePac code computes the mapping by using a Python callback. Switching to using an array allowed the code to be greatly simplified.

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

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.

GenetIC is a code to generate initial conditions for cosmological simulations, especially for zoom simulations of galaxies. It provides support for "genetic modifications" as described by e.g. Roth et al 2015, Rey & Pontzen 2018. It also supports 'splicing' as described by Cadiou et al 2021.

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

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