STScI tools and algorithms used in calibration pipelines.

Westerbork Synthesis Radio Telescope (WSRT) measures data.

This package provides ALFA, which can identify and fit hundreds of lines in emission line spectra in just a few seconds with following features:

• A population of synthetic spectra is generated using a reference line catalogue.

• The goodness of fit for each synthetic spectrum is calculated. The best sets of parameters are retained and the rest discarded.

• A new population of synthetic spectra is obtained by averaging pairs of the best performers.

• A small fraction of the parameters of the lines in the new generation are randomly altered.

• The process repeats until a good fit is obtained.

This package provides a pure Python tooling for ionospheric analyses in radio astronomy, e.g. getting total electron content and rotation measure.

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 a Python Module to Interact with NASA's Astrophysics Data System.

specutils is a Python package for representing, loading, manipulating,and analyzing astronomical spectroscopic data. The generic data containers and accompanying modules provide a toolbox that the astronomical community can use to build more domain-specific packages. For more details about the underlying principles, see APE13.

This package provides a structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, it has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography.

This package implements a functionality to read and analyze halo/galaxy catalogs (generated from Rockstar or AHF) and merger trees (generated from ConsistentTrees).

DRMS module provides an easy-to-use interface for accessing HMI, AIA and MDI data with Python. It uses the publicly accessible JSOC (http://jsoc.stanford.edu/) DRMS server by default, but can also be used with local NetDRMS sites.

PlasmaPy is Python package for plasma research and education. PlasmaPy intends to be for plasma science what Astropy is for astronomy — a collection of functionality commonly needed by plasma scientists and researchers globally, running within and leveraging the open source scientific Python ecosystem.

Python library to interface with OpenSpace using TCP sockets.

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.

The concept of the pvextractor package is simple - given a path defined in sky coordinates, and a spectral cube, extract a slice of the cube along that path, and along the spectral axis, producing a position-velocity or position-frequency slice.

The ccdproc package provides many of the necessary tools for processing of CCD images built on a framework to provide error propagation and bad pixel tracking throughout the reduction process.

spacetrack is a python module for Space-Track which promotes space flight safety, protection of the space environment and the peaceful use of space worldwide by sharing space situational awareness services and information with international satellite owners/operators, academia and other entities.

Python package for reading and analyzing simulations generated using the Gizmo code, in particular, the FIRE cosmological simulations.

libskry implements the lucky imaging principle of astronomical imaging: creating a high-quality still image out of a series of many thousands) low quality ones

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).

PyIRI is a Python implementation of the International Reference Ionosphere model. It provides fast, global, and altitude‑dependent evaluation of ionospheric parameters using a new spherical harmonics (SH) architecture. The model supports multiple coordinate systems and efficiently evaluates all grid points and time frames simultaneously.

This package provides tools for machine learning and data mining in astronomy.

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

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

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.

Weightwatcher is a program hat combines weight-maps, flag-maps and polygon data in order to produce control maps which can directly be used in astronomical image-processing packages like Drizzle, Swarp or SExtractor.