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.
Packaging has started and developers might try the packaging code in VCS
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python-astropy
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2.0.9-1
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Core functionality for performing astrophysics (Python 2 legacy)
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python-astropy:
Core functionality for performing astrophysics (Python 2 legacy)
- Description
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The astropy package contains core functionality and some common tools
needed for performing astronomy and astrophysics research with Python.
It can be extended by a number of "affiliated packages" that are
intended to work with the core package.
This is the Python 2 legacy package. Please use python3-astropy instead.
- Reference
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Astropy Collaboration and Robitaille, T.P. and Tollerud, E.J. and Greenfield, P. and Droettboom, M. and Bray, E. and Aldcroft, T. and Davis, M. and Ginsburg, A. and Price-Whelan, A.M. and Kerzendorf, W.E. and Conley, A. and Crighton, N. and Barbary, K. and Muna, D. and Ferguson, H. and Grollier, F. and Parikh, M.M. and Nair, P.H. and Unther, H.M. and Deil, C. and Woillez, J. and Conseil, S. and Kramer, R. and Turner, J.E.H. and Singer, L. and Fox, R. and Weaver, B.A. and Zabalza, V. and Edwards, Z.I. and Azalee Bostroem, K. and Burke, D.J. and Casey, A.R. and Crawford, S.M. and Dencheva, N. and Ely, J. and Jenness, T. and Labrie, K. and Lim, P.L. and Pierfederici, F. and Pontzen, A. and Ptak, A. and Refsdal, B. and Servillat, M. and Streicher, O.:
Astropy: A community Python package for astronomy.
Astronomy & Astrophysics
558(A33):A33
(2013)
(eprint)
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python-matplotlib
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2.2.4-5
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Python based plotting system in a style similar to Matlab
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python-matplotlib:
Python based plotting system in a style similar to Matlab
- Description
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Matplotlib is a pure Python plotting library designed to bring
publication quality plotting to Python with a syntax familiar to
Matlab users. All of the plotting commands in the pylab interface can
be accessed either via a functional interface familiar to Matlab
users or an object oriented interface familiar to Python users.
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- Debian
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python-numpy
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1:1.16.5-6
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Numerical Python adds a fast array facility to the Python language
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python-numpy:
Numerical Python adds a fast array facility to the Python language
- Description
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Numpy contains a powerful N-dimensional array object, sophisticated
(broadcasting) functions, tools for integrating C/C++ and Fortran
code, and useful linear algebra, Fourier transform, and random number
capabilities.
Numpy replaces the python-numeric and python-numarray modules which are
now deprecated and shouldn't be used except to support older
software.
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- Debian
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python-scipy
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1.2.2-8
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scientific tools for Python
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python-scipy:
scientific tools for Python
- Description
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SciPy supplements the popular NumPy module (python-numpy package), gathering a
variety of high level science and engineering modules together as a single
package.
SciPy is a set of Open Source scientific and numeric tools for Python. It
currently supports special functions, integration, ordinary differential
equation (ODE) solvers, gradient optimization, genetic algorithms, parallel
programming tools, an expression-to-C++ compiler for fast execution, and
others.
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- Debian
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python-vispy
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0.4.0-1
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OpenGL interactive scientific visualization (Python 2)
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python-vispy:
OpenGL interactive scientific visualization (Python 2)
- Description
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Vispy is an OpenGL-based interactive visualization library in
Python. Its goal is to make it easy to create beautiful and fast
dynamic visualizations. For example, scientific plotting of tens of
millions of points, interacting with complex polygonial models, and
(dynamic) volume rendering. All thanks to the graphics card’s
hardware acceleration.
Vispy will eventually offer graphical APIs at multiple levels,
including a matplotlib-like scientific plotting library. Currently,
only the lowest-level API is implemented: it brings an easy-to-use
Pythonic object-oriented interface to OpenGL. This layer requires you
to have basic knowledge of modern OpenGL (notably the OpenGL shading
language, GLSL).
We are currently working on higher level layers. They will hide most
OpenGL concepts and let you create beautiful visualizations in a few
lines of code. Stay tuned!
This is the Python 2 version of the package.
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No known packages available but some record of interest (WNPP bug)
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python-extinction
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Fast interstellar dust extinction laws
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python-extinction:
Fast interstellar dust extinction laws
- Description
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Extinction provides a library with Cython-optimised implementations of
empirical dust extinction laws found in the astronomical literature.
- Debian
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python-gavovotable
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A library to process VOTables using python
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python-gavovotable:
A library to process VOTables using python
- Description
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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.
- Debian
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python-pyspeckit
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Toolkit for fitting and manipulating spectroscopic data
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python-pyspeckit:
Toolkit for fitting and manipulating spectroscopic data
- Description
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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.
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python-sherpa
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Modeling and fitting in Python
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python-sherpa:
Modeling and fitting in Python
- Description
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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
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python-sncosmo
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Python library for high-level supervova cosmology analysis
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python-sncosmo:
Python library for high-level supervova cosmology analysis
- Description
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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.
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