Format: https://blends.debian.org/blends/1.1
Task: Python3
Install: true
Description: Python 3 packages for astronomy
 This metapackage will install Python 3 packages for astronomy. The packages
 can be used for interactive analysis, or to create specific programs.

Recommends: python3, ipython3

Recommends: python3-numpy, python3-scipy, python3-matplotlib,
 python3-healpy, python3-lmfit, python3-pandas, python3-skimage,
 python3-sklearn, python3-dask

Recommends: python3-astropy, python3-pyds9
Why: Generic Python packages for astronomy

Recommends: python3-astropy-affiliated, python3-astropy-coordinated

Recommends: python3-asdf-astropy, python3-astropy-healpix, python3-astroquery,
 python3-ccdproc, python3-photutils, python3-regions, python3-reproject,
 python3-specreduce, python3-specutils
Why: Astropy coordinated packages

Recommends: python3-aplpy, python3-astroml, python3-astroplan,
 python3-astroscrappy, python3-einsteinpy, python3-galpy, python3-gammapy,
 python3-ginga, python3-glue, python3-gwcs, python3-hips,
 python3-imexam, python3-poliastro, python3-pydl, python3-regions,
 python3-spectral-cube, python3-synphot, python3-astroalign,
 python3-sncosmo
Why: Astropy affiliated packages

Recommends: python3-pyspeckit
Why: Astropy affiliated package
WNPP: 881699
Homepage: https://pypi.python.org/pypi/pyspeckit
Pkg-Description: Toolkit for fitting and manipulating spectroscopic data
 This is a code framework designed to allow for analysis of
 spectroscopic data from a wide variety of astronomical instruments.
 It is motivated by the lack of general spectroscopic analysis tools
 applicable at multiple wavelengths (compare to IRAF, SPLAT, etc. -
 these are wavelength-specific and/or do not make user scripting
 easy).  Initial implementation focuses on optical and radio
 applications, e.g.  gaussian and voigt profile fitting,
 baseline/continuum fitting, and equivalent width measurements.

Recommends: python3-drizzle

Recommends: python3-asdf

Recommends: python3-pyavm

Recommends: python3-astlib

Recommends: python3-yt, python3-cmyt, python3-unyt

Recommends: python3-gyoto

Recommends: python3-sunpy, python3-drms

Recommends: python3-ephem

Recommends: python3-emcee

Recommends: python3-fitsio

Recommends: python3-pysynphot

Recommends: python3-pyfftw
Why: ASCL Id 2109.009

Recommends: python3-casacore

Recommends: python3-pymoc

Recommends: python3-astrodendro

Recommends: python3-sherpa
WNPP: 795370
Pkg-Description: Modeling and fitting in Python 3
 Sherpa is a Python package for modeling and fitting. It enables the user to
 construct complex models from simple definitions and fit those models to
 data, using a variety of statistics and optimization methods.
 .
 It was originally developed by the Smithsonian Astrophysical Observatory /
 Chandra X-Ray Center as part of the larger CIAO package for X-ray data
 analysis
Homepage: http://cxc.cfa.harvard.edu/sherpa/

Recommends: python3-extinction

Recommends: python3-mvpa2
Why: ASCL Id 1703.009

Recommends: python3-pyraf

Recommends: python3-ndcube

Recommends: python3-fast-histogram

Recommends: python3-mpl-scatter-density

Recommends: python3-vispy

Recommends: python3-poliastro

Recommends: python3-cvxopt
Why: ASCL-Id 2008.017

Recommends: python3-skyfield
WNPP: 911646
Homepage: https://rhodesmill.org/skyfield/
Pkg-Description: Elegant astronomy for Python
 Skyfield is a pure-Python astronomy package that is compatible with
 both Python 2 and 3 and makes it easy to generate high precision
 research-grade positions for planets and Earth satellites.
 .
 Skyfield computes positions for the stars, planets, and satellites in
 orbit around the Earth. Its results should agree with the positions
 generated by the United States Naval Observatory and their
 Astronomical Almanac to within 0.0005 arcseconds (which equals half a
 “mas” or milliarcsecond).

Recommends: python3-jplephem
WNPP: 1017350

Recommends: python3-pytorch
WNPP: 853923
Homepage: https://pytorch.org
Pkg-Description: Tensors and Dynamic neural networks with GPU acceleration

Recommends: python3-gdl

Recommends: python3-pygnuplot

Recommends: python3-montagepy

Recommends: python3-bokeh
WNPP: 756017
Homepage: http://bokeh.pydata.org/
Pkg-Description: interactive visualization for web browsers
 Bokeh is a Python interactive visualization library that targets
 modern web browsers for presentation. Its goal is to provide elegant,
 concise construction of novel graphics in the style of D3.js, but
 also deliver this capability with high-performance interactivity over
 very large or streaming datasets. Bokeh can help anyone who would
 like to quickly and easily create interactive plots, dashboards, and
 data applications.

Recommends: python3-pynpoint

Recommends: python3-orbit-predictor

Recommends: python3-heliopy
WNPP: 928699
Homepage: https://github.com/heliopython/heliopy
Pkg-Description: Python for heliospheric and planetary physics
 A python library for heliospheric and planetary Physics. The primary goal
 of HelioPy is to provide a set of tools to download and read in data, and
 to carry out other common data processing tasks.

Recommends: python3-supersmoother
WNPP: 940566

Recommends: python3-gatspy
WNPP: 941157
Homepage: http://www.astroml.org/gatspy/
Pkg-Description: General tools for Astronomical Time Series in Python

Recommends: python3-sep

Recommends: python3-theano, python3-keras
Why: Machine learning packages used in astronomy

Recommends: python3-bdsf

Recommends: python3-pyerfa

Recommends: python3-pymeeus, python3-pyorbital