This package includes plugins that provide ASDF serialization support for Astropy objects.

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

The Advanced Scientific Data Format (ASDF) is a next-generation interchange format for scientific data. This package contains the Python implementation of the ASDF Standard.

This package contains FIT and CSV files required for STPSF installation and distributed separately from it.

SPICE is an ancillary information system developed by NASA for planetary science missions. It enables the computation of geometric and event data required for analyzing and planning scientific observations obtained from spacecraft. In addition, it plays a crucial role in mission planning and executing various engineering functions necessary for successful mission completion.

This package provides base classes and command-line tools for implementing calibration pipeline software.

The package is based around `torus mapping', which is a non-perturbative technique for creating orbital tori for specified values of the action integrals. Given an orbital torus and a star's position at a reference time, one can compute its position at any other time, no matter how remote.

This package provides an interface to Heliophysics Application Programmer’s Interface data server API.

LibXISF is C++ library that can read and write XISF files produced by PixInsight. It implements XISF 1.0 specification.

Westerbork Synthesis Radio Telescope (WSRT) measures data.

Funtools is a minimal buy-in FITS library and utility package originally developed at the the High Energy Astrophysics Division of SAO. Although no longer actively supported at SAO, it is still widely used within the astronomical community, especially among X-ray astronomers.

The Funtools library provides simplified access to a wide array of file types: standard astronomical FITS images and binary tables, raw arrays and binary event lists, and even tables of ASCII column data. A sophisticated region filtering library (compatible with ds9) filters images and tables using Boolean operations between geometric shapes, support world coordinates, etc. Funtools also supports advanced capabilities such as optimized data searching using index files.

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.

Stellarium is a planetarium. It 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.

CDF or CDF Library is a scientific data management package which allows programmers and application developers to manage and manipulate scalar, vector, and multi-dimensional data arrays.

The CDF is a self-describing data abstraction for the storage and manipulation of multidimensional data in a platform- and discipline-independent fashion.

This package provides library and binary utilities to manipulate CDF files.

This package provides a plugin to fake subprocess for pytest. The plugin adds the fake_process fixture (and fp as an alias). It can be used it to register subprocess results so you won't need to rely on the real processes. The plugin hooks on the subprocess.Popen(), which is the base for other subprocess functions. That makes the subprocess.run(),subprocess.call(), subprocess.check_call() and subprocess.check_output() methods also functional.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

The cinnamon-desktop package contains the libcinnamon-desktop library, as well as some desktop-wide documents.

B2 makes it easy to build C++ projects, everywhere. B2 has been the primary build system for the Boost C++ Libraries for many years.

Fakeredis is a pure-Python implementation of the redis-py Python client that simulates talking to a redis server. It was created for a single purpose: to write unit tests.

Setting up redis is not hard, but one often wants to write unit tests that don't talk to an external server such as redis. This module can be used as a reasonable substitute.

Dragonfly is a modern in-memory datastore, fully compatible with Redis and Memcached APIs. Dragonfly implements novel algorithms and data structures on top of a multi-threaded, shared-nothing architecture. As a result, Dragonfly reaches x25 performance compared to Redis and supports millions of QPS on a single instance.

This package provides a Python interface to the Redis key-value store.

MeshLab is a system for the processing and editing of large, unstructured, 3D triangular meshes. It is aimed to help the processing of the typical, not-so-small unstructured models arising in 3D scanning, providing a set of tools for editing, cleaning, healing, inspecting, rendering and converting this kind of meshes. These tools include MeshLab proper, a versatile program with a graphical user interface, and meshlabserver, a program that can perform mesh processing tasks in batch mode, without a GUI.

This package provides VCGlib The VCG library is tailored to mostly manage triangular meshes: offers many capabilities for processing meshes, such as:

• high quality quadric-error edge-collapse based simplfication

• efficient spatial query structures (uniform grids, hashed grids, kdtree, etc)

• advanced smoothing and fairing algorithms

• computation of curvature

• optimization of texture coordinates

• Hausdorff distance computation

• geodesic paths

• mesh repairing capabilities

• isosurface extraction and advancing front meshing algorithms

• Poisson Disk sampling and other tools to sample point distributions over meshes

• subdivision surfaces