Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
This package provides a Glue plugin for geospatial imagery.
This package provides an yt extension package for astrophysical analysis. This package contains functionality for:
halo finding and analysis
lightcones
planning cosmological simulations for making lightcones and lightrays
exporting to the RADMC-3D radiation transport code
creating PPV FITS cubes
This package provides a CIANNA - a general-purpose deep learning framework primarily developed and used for astronomical data analysis.
This package provides build downsampled previews of Space Telescope products.
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.
Python read-only implementation of the EventIO file format.
This package contains a helper functionality to test ROMAN and JWST.
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.
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.
pyregion is a python module to parse ds9 region files. It also supports ciao region files. Features:
ds9 and ciao region files.
(physical, WCS) coordinate conversion to the image coordinate.
convert regions to matplotlib patches.
convert regions to spatial filter (i.e., generate mask images)
POLIASTRO is a Python library for interactive Astrodynamics and Orbital Mechanics, with a focus on ease of use, speed, and quick visualization. It provides a simple and intuitive API, and handles physical quantities with units.
Some features include orbit propagation, solution of the Lambert's problem, conversion between position and velocity vectors and classical orbital elements and orbit plotting, among others. It focuses on interplanetary applications, but can also be used to analyze artificial satellites in Low-Earth Orbit (LEO).
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.
This package implements a functionality for analysing absorption and emission lines in 1-D spectra, especially galaxy and quasar spectra.
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.
This package provides an astronomical Python package with image processing functions: xyxymatch, geomap.
Astral is a Python module that calculates times for various positions of the sun: dawn, sunrise, solar noon, sunset, dusk, solar elevation, solar azimuth, rahukaalam, and the phases of the moon.
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.
sunraster is an Python library that provides the tools to read in and analyze spectrogram data.
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.
SOXS is a software suite which can create simulated X-ray observations of astrophysical sources with almost any existing or planned X-ray observatory. The goal of SOXS is to provide a comprehensive set of tools to design source models and convolve them with simulated models of X-ray instruments. This package was originally developed to support the Lynx X-ray Observatory mission concept, but has evolved to support other missions as well.
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.
SWIFTGalaxy is an astrophysics module that extends SWIFTSimIO tailored to analyses of particles belonging to individual galaxies simulated with SWIFT. It inherits from and extends the functionality of the SWIFTDataset. It understands the content of halo catalogues (supported: Velociraptor, Caesar, SOAP) and therefore which particles belong to a galaxy or other group of particles, and its integrated properties. The particles occupy a coordinate frame that is enforced to be consistent, such that particles loaded on-the-fly will match e.g. rotations and translations of particles already in memory. Intuitive masking of particle datasets is also enabled. Utilities to make working in cylindrical and spherical coordinate systems more convenient are also provided. Finally, tools to iterate efficiently over multiple galaxies are also provided.
ZodiPy is an package for simulating zodiacal light in intensity for arbitrary solar system observers.
Python package for making visuals of gravitational wave signals, specifically pulsar timing array signals.