_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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.


python-pyhalo 1.4.6
Propagated dependencies: python-astropy@8.0.1 python-click@8.4.1 python-colossus@1.4.0-0.b481187 python-h5py@3.16.0 python-lenstronomy@1.13.5 python-mcfit@0.0.22-0.be3a5cf python-numpy@2.4.6 python-scipy@1.17.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://github.com/dangilman/pyHalo
Licenses: Expat
Build system: pyproject
Synopsis: Render populations of dark matter halos
Description:

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.

python-tweakwcs 0.9.2
Propagated dependencies: python-astropy@8.0.1 python-gwcs@1.0.3 python-numpy@2.4.6 python-packaging@26.2 python-spherical-geometry@1.4.0 python-stsci-imagestats@1.8.4 python-stsci-stimage@0.3.0
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://tweakwcs.readthedocs.io/en/latest/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Algorithms for matching and aligning catalogs and for tweaking the WCS
Description:

tweakwcs is a package that provides core algorithms for computing and applying corrections to WCS objects such as to minimize mismatch between image and reference catalogs. Currently only aligning images with FITS WCS and JWST gWCS are supported.

python-baseband 4.3.0
Propagated dependencies: python-astropy@8.0.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://github.com/mhvk/baseband
Licenses: GPL 3+
Build system: pyproject
Synopsis: Radio baseband I/O
Description:

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.

python-pysm3 3.4.6
Propagated dependencies: python-astropy@8.0.1 python-h5py@3.16.0 python-healpy@1.20.0 python-numba@0.66.0 python-numpy@2.4.6 python-scipy@1.17.1 python-toml@0.10.2
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://pysm3.readthedocs.io/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Sky emission simulations for Cosmic Microwave Background experiments
Description:

PySM generates full-sky simulations of Galactic emissions in intensity and polarization relevant to Cosmic Microwave Background experiments. It is a large refactor of PySM 2 focused on reducing memory usage, improving performance and run in parallel with MPI.

python-specreduce 1.9.0
Propagated dependencies: python-astropy@8.0.1 python-gwcs@1.0.3 python-matplotlib@3.10.9 python-numpy@2.4.6 python-scipy@1.17.1 python-specutils@2.4.0
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://specreduce.readthedocs.io/
Licenses: Modified BSD Expat
Build system: pyproject
Synopsis: Spectroscopic Reductions
Description:

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

python-sunraster 0.7.0
Propagated dependencies: python-astropy@8.0.1 python-ndcube@2.4.1 python-numpy@2.4.6
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://docs.sunpy.org/projects/sunraster/en/stable/
Licenses: FreeBSD
Build system: pyproject
Synopsis: Solar mission spectral data tool
Description:

sunraster is an Python library that provides the tools to read in and analyze spectrogram data.

libsharp 3.8.2
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://healpix.sourceforge.io/
Licenses: GPL 2+
Build system: gnu
Synopsis: Efficient spherical harmonic transforms at arbitrary spins
Description:

This package provides a librari for spherical harmonic transforms (SHTs), which evolved from the libpsht library, addressing several of its shortcomings, such as adding MPI support for distributed memory systems and SHTs of fields with arbitrary spin, but also supporting new developments in CPU instruction sets like the Advanced Vector Extensions (AVX) or fused multiply-accumulate (FMA) instructions. The library is implemented in portable C99 and provides an interface that can be easily accessed from other programming languages such as C++, Fortran, Python etc. Generally, libsharp's performance is at least on par with that of its predecessor; however, significant improvements were made to the algorithms for scalar SHTs, which are roughly twice as fast when using the same CPU capabilities.

Supporting paper is available at https://arxiv.org/abs/1303.4945

glnemo2 1.21.0
Dependencies: ccfits@2.7 cfitsio@4.7.0 glm@1.0.1 glu@9.0.2 hdf5@1.14.6 libtirpc@1.3.7 qtbase@5.15.17 zlib@1.3.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://projets.lam.fr/projects/glnemo2/wiki/Wiki
Licenses: CeCILL
Build system: cmake
Synopsis: 3D interactive visualization program for n-body like particles
Description:

GLNEMO2 is an interactive 3D visualization program which displays particles positions of the different components (gas, stars, disk, dark matter halo, bulge) of an N-body snapshot. It is a tool for running N-body simulations from isolated galaxies to cosmological simulations. It has a graphical user interface (based on QT 5.X API), uses a fast 3D engine (OPenGL and GLSL), and is generic with the possibility to load different kinds of input files.

python-astropy-healpix 2.0.1
Propagated dependencies: python-astropy@8.0.1 python-numpy@2.4.6
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://github.com/astropy/astropy-healpix
Licenses: Modified BSD
Build system: pyproject
Synopsis: HEALPix for Astropy
Description:

This package provides HEALPix to the Astropy project.

python-tables-io 1.1.2
Propagated dependencies: python-click@8.4.1 python-deprecated@1.3.1 python-h5py@3.16.0 python-numpy@2.4.6 python-pandas@3.0.3 python-tables@3.11.1 python-astropy@8.0.1 python-pyarrow@24.0.0
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://github.com/LSSTDESC/tables_io
Licenses: Expat
Build system: pyproject
Synopsis: Input/output and conversion functions for tabular data
Description:

tables_io provides an interface for a variety of non-ASCII file formats that are commonly used within the LSST DESC collaboration. It allows users to read in data from multiple types of files through one convenient interface.

python-pyavm 0.9.9
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://astrofrog.github.io/pyavm/
Licenses: Expat
Build system: pyproject
Synopsis: Simple pure-python AVM meta-data handling
Description:

PyAVM is a module to represent, read, and write metadata following the AVM standard provided by vamp project.

python-halotools 0.9.4
Propagated dependencies: python-astropy@8.0.1 python-beautifulsoup4@4.14.3 python-h5py@3.16.0 python-numpy@2.4.6 python-requests@2.34.2 python-scipy@1.17.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: http://halotools.rtfd.org/
Licenses: Modified BSD
Build system: pyproject
Synopsis: N-body simulations and constrain models of cosmology evolution
Description:

Halotools is a specialized python package for building and testing models of the galaxy-halo connection, and analyzing catalogs of dark matter halos. The core feature of Halotools is a modular platform for creating mock universes of galaxies starting from a catalog of dark matter halos obtained from a cosmological simulation.

python-cmyt 2.0.2
Propagated dependencies: python-matplotlib@3.10.9 python-numpy@2.4.6
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://yt-project.org/
Licenses: Modified BSD
Build system: pyproject
Synopsis: Matplotlib colormaps from the yt project
Description:

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).

python-photutils 3.0.0
Propagated dependencies: python-astropy@8.0.1 python-bottleneck@1.6.0 python-gwcs@1.0.3 python-matplotlib@3.10.9 python-numpy@2.4.6 python-rasterio@1.3.7 python-regions@0.11 python-scikit-image@0.26.0 python-scipy@1.17.1 python-shapely@2.1.1 python-tqdm@4.67.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://github.com/astropy/photutils
Licenses: Modified BSD
Build system: pyproject
Synopsis: Source detection and photometry
Description:

Photutils is an Astropy package for detection and photometry of astronomical sources.

python-aplpy 2.2.1
Propagated dependencies: python-astropy@8.0.1 python-matplotlib@3.10.9 python-numpy@2.4.6 python-pillow@12.2.0 python-pyavm@0.9.9 python-pyregion@2.3.0 python-reproject@0.21.0 python-scikit-image@0.26.0 python-shapely@2.1.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: http://aplpy.github.io
Licenses: Expat
Build system: pyproject
Synopsis: Astronomical Plotting Library in Python
Description:

APLpy is a Python module aimed at producing publication-quality plots of astronomical imaging data in FITS format. The module uses matplotlib, a powerful and interactive plotting package. It is capable of creating output files in several graphical formats, including EPS, PDF, PS, PNG, and SVG.

Main features:

  • Make plots interactively or using scripts

  • Show grayscale, colorscale, and 3-color RGB images of FITS files

  • Generate co-aligned FITS cubes to make 3-color RGB images

  • Make plots from FITS files with arbitrary WCS (e.g. position-velocity)

  • Slice multi-dimensional FITS cubes

  • Overlay any number of contour sets

  • Overlay markers with fully customizable symbols

  • Plot customizable shapes like circles, ellipses, and rectangles

  • Overlay ds9 region files

  • Overlay coordinate grids

  • Show colorbars, scalebars, and beams

  • Customize the appearance of labels and ticks

  • Hide, show, and remove different contour and marker layers

  • Pan, zoom, and save any view as a full publication-quality plot

  • Save plots as EPS, PDF, PS, PNG, and SVG

gpredict 2.6
Dependencies: curl@8.20.0 glib@2.86.0 goocanvas@3.0.0 gtk+@3.24.52
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://oz9aec.dk/gpredict/
Licenses: GPL 2+
Build system: gnu
Synopsis: Satellite tracking and orbit prediction application
Description:

Gpredict is a real-time satellite tracking and orbit prediction application. It can track a large number of satellites and display their position and other data in lists, tables, maps, and polar plots (radar view). Gpredict can also predict the time of future passes for a satellite, and provide you with detailed information about each pass.

Some core features of Gpredict include:

  • Tracking of a large number of satellites only limited by the physical memory and processing power of the computer

  • Display the tracking data in lists, maps, polar plots and any combination of these

  • Have many modules open at the same either in a notebook or in their own windows. The modules can also run in full-screen mode

  • You can use many ground stations

  • Predict upcoming passes

  • Gpredict can run in real-time, simulated real-time (fast forward and backward), and manual time control

  • Detailed information both the real time and non-real time modes

  • Doppler tuning of radios via Hamlib rigctld

  • Antenna rotator control via Hamlib rotctld

siril 1.4.4
Dependencies: bash-minimal@5.2.37 cfitsio@4.7.0 curl@8.20.0 exiv2@0.28.8 ffmpeg@8.1.1 ffms2@2.23 fftwf@3.3.10 gdk-pixbuf@2.44.5 gsl@2.8 gtk+@3.24.52 gtksourceview@4.8.4 healpix-cxx@3.8.3 json-glib@1.10.0 lcms@2.16.0 libgit2@1.9.4 libheif@1.23.1 libjxl@0.11.2 libraw@0.22.1 librsvg@2.61.4 librtprocess@0.12.0 libxisf@0.2.13 lz4@1.10.0 opencv@4.13.0 pugixml@1.12.1 wcslib@8.9 yyjson@0.12.0
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://siril.org/
Licenses: GPL 3+
Build system: meson
Synopsis: Image processing software for amateur astronomy
Description:

This package provides an astronomical image processing tool - SIRIL. It is specially tailored for noise reduction and improving the signal/noise ratio of an image from multiple captures, as required in astronomy. SIRIL can align automatically or manually, stack and enhance pictures from various file formats, even image sequence files (films and SER files). It works well with limited system resources, like in embedded platforms, but is also very fast when run on more powerful computers and provides conversion to FITS from a large number of image formats.

python-naima 0.10.3
Propagated dependencies: python-astropy@8.0.1 python-corner@2.2.2 python-emcee@3.1.6 python-h5py@3.16.0 python-matplotlib@3.10.9 python-numpy@2.4.6 python-pyyaml@6.0.3 python-scipy@1.17.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: http://github.com/zblz/naima
Licenses: Modified BSD
Build system: pyproject
Synopsis: Derivation of non-thermal particle distributions through MCMC spectral fitting
Description:

This package implement functionality for computation of non-thermal radiation from relativistic particle populations. It includes tools to perform MCMC fitting of radiative models to X-ray, GeV, and TeV spectra using emcee, an affine-invariant ensemble sampler for Markov Chain Monte Carlo.

python-crds-minimal 13.2.8
Propagated dependencies: python-astropy@8.0.1 python-numpy@2.4.6 python-filelock@3.16.1 python-asdf@5.3.1 python-requests@2.34.2 python-parsley@1.3
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://hst-crds.stsci.edu
Licenses: Modified BSD
Build system: pyproject
Synopsis: Calibration Reference Data System for HST and JWST
Description:

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-lofar-parameterset 1.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://git.astron.nl/lofar2.0/lofar_pyparameterset
Licenses: GPL 3+
Build system: pyproject
Synopsis: Minimal Python implementation of the LOFAR ParameterSet
Description:

This package contains a pure-python drop-in replacement for the Python wrapper around the original LOFAR ParameterSet that is written in C++. It supports only the basic features of the original.

python-romanisim 0.15.0
Propagated dependencies: python-asdf@5.3.1 python-astropy@8.0.1 python-astropy-healpix@2.0.1 python-astroquery@0.4.11 python-crds@13.2.8 python-defusedxml@0.7.1-0.c744588 python-galsim@2.8.5 python-gwcs@1.0.3 python-numpy@2.4.6 python-photutils@3.0.0 python-roman-datamodels@1.1.0 python-roman-technical-information@1.5.0
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://github.com/spacetelescope/romanisim
Licenses: Modified BSD
Build system: pyproject
Synopsis: Nancy Grace Roman Space Telescope WFI Simulator
Description:

romanisim is a Galsim-based simulator of imaging data from the WFI on the Nancy Grace Roman Space Telescope (pronounced roman-eye-sim, stylized Roman I-Sim). It uses Galsim to render astronomical scenes, WebbPSF to model the point spread function, and CRDS to access the calibration information needed to produce realistic WFI images.

xplanet 1.3.1
Dependencies: freetype@2.13.3 giflib@5.2.1 libice@1.1.2 libjpeg-turbo@2.1.4 libpng@1.6.39 libtiff@4.7.2 libx11@1.8.12 libxscrnsaver@1.2.4 netpbm@10.78.3 pango@1.57.1 zlib@1.3.1
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://xplanet.sourceforge.net/
Licenses: GPL 2+
Build system: gnu
Synopsis: Planetary body renderer
Description:

Xplanet renders an image of a planet into an X window or file. All of the major planets and most satellites can be drawn and different map projections are also supported, including azimuthal, hemisphere, Lambert, Mercator, Mollweide, Peters, polyconic, orthographic and rectangular.

python-so-noise-models 0.0.0-0.fac881e
Propagated dependencies: python-matplotlib@3.10.9 python-numpy@2.4.6
Channel: guix
Location: gnu/packages/astronomy.scm (gnu packages astronomy)
Home page: https://github.com/simonsobs/so_noise_models
Licenses: FreeBSD
Build system: pyproject
Synopsis: Simons Observatory N(ell) noise models
Description:

This package provides N(ell) noise curve projection code for the Simons Observatory. The intention is that the full history of noise models will be provided to supplement published projections and simulations.

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