Task: Python
Install: false
Description: Python 2 packages for astronomy
 This metapackage will install Python 2 packages for astronomy. The packages
 can be used for interactive analysis, or to create specific programs.
 .
 Note that Python 2 is legacy only, Python 3 is the present and future of the
 language. The support for Python 2 will end in 2020. Please use Python 2 only
 if you don't have a choice.

Depends: python, ipython

Depends: python-numpy, python-scipy, python-matplotlib, python-healpy,
 python-lmfit, python-pymc

Depends: python-astropy, python-pyds9
Why: generic Python packages for astronomy

Depends: python-astropy-affiliated

Depends: python-astroscrappy, python-astroplan, python-astroquery,
 python-ccdproc, python-gwcs, python-halotools, python-imexam,
 python-montage-wrapper, python-naima, python-photutils, python-pydl,
 python-sncosmo, python-spectral-cube, python-specutils, python-wcsaxes

Depends: python-aplpy, python-astroml, python-galpy, python-gammapy,
 python-ginga, python-glue, python-maltpynt, python-omnifit, python-pyregion,
 python-cpl, python-pyvo, python-reproject, python-spherical-geometry
Why: Astropy affiliated packages

Depends: python-gammapy
WNPP: 795369

Depends: python-drizzle
WNPP: 843668

Depends: python-asdf

Depends: python-pyavm

Depends: python-astlib

Depends: python-yt

Depends: python-astrometry

Depends: python-gyoto

Depends: python-sunpy

Depends: python-ephem

Depends: python-gdl

Depends: python-emcee

Depends: python-fitsio

Depends: python-pysynphot

Depends: python-pyfftw
Why: From AstroConda

Depends: python-casacore

Depends: python-pymoc

Depends: python-sherpa
WNPP: 795370
Pkg-Description: Modeling and fitting in Python
 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/

Depends: python-sncosmo
WNPP: 757096
Pkg-Description: Python library for high-level supervova cosmology analysis
 SNCosmo is a Python library for high-level supernova cosmology analysis. It
 aims to make such analysis both as flexible and clear as possible. It is
 built on NumPy, SciPy and AstroPy. Package Features:
 .
  * SN models: Synthesize supernova spectra and photometry from SN models.
  * Fitting and sampling: Functions for fitting and sampling SN model
    parameters given photometric light curve data.
  * Dust laws: Fast implementations of several commonly used extinction laws;
    can be used to construct SN models that include dust.
  * I/O: Convenience functions for reading and writing peculiar data formats
    used in other packages and getting dust values from SFD (1998) maps.
  * Built-in supernova models such as SALT2, MLCS2k2, Hsiao, Nugent, PSNID,
    SNANA and Whalen models, as well as a variety of built-in bandpasses and
    magnitude systems.
  * Extensible: New models, bandpasses, and magnitude systems can be defined,
    using an object-oriented interface.
Homepage: https://sncosmo.github.io/

Depends: python-gwcs
WNPP: 846539
Homepage: https://github.com/spacetelescope/gwcs
Pkg-Description: Managing the World Coordinate System of astronomical data
 GWCS supports a data model which includes the entire transformation pipeline
 from input coordinates to world coordinates.  The goal of the package is to
 provide a flexible toolkit which is easily extendible by adding new transforms
 and frames.

Depends: python-gavovotable
WNPP: 832884
Homepage: http://docs.g-vo.org/DaCHS/votable.html
Pkg-Description: A library to process VOTables using python
 The VOTable format is defined by the International Virtual Observatory
 Alliance to facilitate data exchange in astronomy.  This library
 implements most of the specification and offers simple and advanced,
 streaming interfaces.  Also included is a simple client to query TAP
 servers.
 .
 There are many other libraries to parse VOTables into python programs, the
 default probably being astropy's. This one is geared for maximal control,
 streaming, and the possibility to write fairly mad instance documents.

Depends: python-extinction
WNPP: 850195
Homepage: https://github.com/kbarbary/extinction
Pkg-Description:  Fast interstellar dust extinction laws
 Extinction provides a library with Cython-optimised implementations of
 empirical dust extinction laws found in the astronomical literature.

Depends: python-astrodendro
WNPP: 855551
Homepage: https://github.com/dendrograms/astrodendro
Pkg-Description: Generate a dendrogram from a dataset
 The aim of this module is to provide an easy way to compute
 dendrograms of observed or simulated Astronomical data in Python

Depends: python-mvpa2
Why: ASCL Id 1703.009
