About kapteyn

Home: https://www.astro.rug.nl/software/kapteyn/

Package license: BSD 3-Clause

Feedstock license: BSD-3-Clause

Summary: Astronomical package for spatial and spectral coordinates, WCS projections and transformation, and more...

Development: https://github.com/kapteyn-astro/kapteyn

Documentation: https://www.astro.rug.nl/software/kapteyn/

The Kapteyn Package is a collection of Python modules and applications developed by members of the computer group (*) of the Kapteyn Astronomical Institute, University of Groningen, The Netherlands. The purpose of the package is to provide tools for the development of astronomical applications with Python.

The package is suitable for both inexperienced and experienced users and developers and documentation is provided for both groups. The documentation also provides in-depth chapters about celestial transformations and spectral translations.

Some of the package's features:

• The handling of spatial and spectral coordinates, WCS projections and transformations between different sky systems. Spectral translations (e.g., between frequencies and velocities) are supported and also mixed coordinates. (Modules wcs and celestial. Module wcs uses Mark Calabretta's WCSLIB which is distributed with the package.)

• Versatile tools for writing small and dedicated applications for the inspection of FITS headers, the extraction and display of (FITS) data, interactive inspection of this data (color editing) and for the creation of plots with world coordinate information. (Module maputils) As one example, a gallery of all-sky plots is provided.

• A class for the efficient reading, writing and manipulating simple table-like structures in text files. (Module tabarray)

• Utilities for use with matplotlib such as obtaining coordinate information from plots, interactively modifiable colormaps and timer events (module mplutil); tools for parsing and interpreting coordinate information entered by the user (module positions).

• A function to search for gaussian components in a profile (module profiles) and a class for non-linear least squares fitting (module kmpfit).

Current build status

Azure

Variant Status linux_64_c_compiler_version7fortran_compiler_version7numpy1.16python3.6.____cpython linux_64_c_compiler_version7fortran_compiler_version7numpy1.18python3.6.____73_pypy linux_64_c_compiler_version9fortran_compiler_version9numpy1.16python3.6.____cpython linux_64_c_compiler_version9fortran_compiler_version9numpy1.18python3.6.____73_pypy osx_64_fortran_compiler_version7numpy1.16python3.6.____cpython osx_64_fortran_compiler_version7numpy1.18python3.6.____73_pypy osx_64_fortran_compiler_version9numpy1.16python3.6.____cpython osx_64_fortran_compiler_version9numpy1.18python3.6.____73_pypy

Current release info

Name	Downloads	Version	Platforms

Installing kapteyn

Installing kapteyn from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Once the conda-forge channel has been enabled, kapteyn can be installed with:

conda install kapteyn

It is possible to list all of the versions of kapteyn available on your platform with:

conda search kapteyn --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by CircleCI, AppVeyor and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating kapteyn-feedstock

If you would like to improve the kapteyn recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/kapteyn-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

• If the version of a package is not being increased, please add or increase the build/number.
• If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers

• @MaartenBreddels