
Security News
Official Go SDK for MCP in Development, Stable Release Expected in August
The official Go SDK for the Model Context Protocol is in development, with a stable, production-ready release expected by August 2025.
This package provides astronomical interstellar dust extinction curves implemented using the astropy.modeling framework.
This package is an affiliated package <https://www.astropy.org/affiliated/>
_ of AstroPy
_.
To install::
pip install dust_extinction
Please cite the original papers for the models used. The papers for each model
are given here <https://dust-extinction.readthedocs.io/en/latest/dust_extinction/references.html>
_.
In addition, please cite the latest release of the package given below. (Hopefully soon to be replaced with a JOSS paper.)
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.11235336.svg :target: https://doi.org/10.5281/zenodo.11235336 :alt: current code version DOI
.. image:: https://joss.theoj.org/papers/42619ff7078a218d14893ff2da4f6ca6/status.svg :target: https://joss.theoj.org/papers/42619ff7078a218d14893ff2da4f6ca6 :alt: JOSS status
.. image:: http://readthedocs.org/projects/dust-extinction/badge/?version=latest :target: http://dust-extinction.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
.. image:: https://github.com/karllark/dust_extinction/workflows/Python%20Tests/badge.svg :target: https://github.com/karllark/dust_extinction/actions/ :alt: Test Status
.. image:: https://codecov.io/gh/karllark/dust_extinction/branch/master/graph/badge.svg :target: https://codecov.io/gh/karllark/dust_extinction :alt: Test Coverage Status
.. image:: https://app.codacy.com/project/badge/Grade/748429f338714270bb5fffd87a0183b5 :target: https://app.codacy.com/gh/karllark/dust_extinction/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade :alt: Codacy Status
.. image:: https://badge.fury.io/py/dust-extinction.svg :target: https://badge.fury.io/py/dust-extinction :alt: pypi dust_extinction
.. image:: https://anaconda.org/conda-forge/dust_extinction/badges/version.svg :target: https://github.com/conda-forge/dust_extinction-feedstock :alt: dust_extinction feedstock and install directions
.. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat :target: http://www.astropy.org :alt: Powered by Astropy Badge
Using readthedocs <http://dust-extinction.readthedocs.io>
_.
This code is currently in active development. Contributions welcome (see below).
Karl Gordon (lead)
All contributors <https://github.com/karllark/dust_extinction/graphs/contributors>
_
Please open a new issue or new pull request for bugs, feedback, or new features you would like to see. If there is an issue you would like to work on, please leave a comment and we will be happy to assist. New contributions and contributors are very welcome!
New to github or open source projects? If you are unsure about where to start
or haven't used github before, please feel free to contact @karllark
.
Want more information about how to make a contribution? Take a look at
the astropy developer
_ documentation.
Feedback and feature requests? Is there something missing you would like
to see? Please open an issue or send an email to @karllark
.
dust_extinction follows the Astropy Code of Conduct
_ and strives to provide a
welcoming community to all of our users and contributors.
We love contributions! dust_extinction is open source, built on open source, and we'd love to have you hang out in our community.
Impostor syndrome disclaimer: We want your help. No, really.
There may be a little voice inside your head that is telling you that you're not ready to be an open source contributor; that your skills aren't nearly good enough to contribute. What could you possibly offer a project like this one?
We assure you - the little voice in your head is wrong. If you can write code at all, you can contribute code to open source. Contributing to open source projects is a fantastic way to advance one's coding skills. Writing perfect code isn't the measure of a good developer (that would disqualify all of us!); it's trying to create something, making mistakes, and learning from those mistakes. That's how we all improve, and we are happy to help others learn.
Being an open source contributor doesn't just mean writing code, either. You can help out by writing documentation, tests, or even giving feedback about the project (and yes - that includes giving feedback about the contribution process). Some of these contributions may be the most valuable to the project as a whole, because you're coming to the project with fresh eyes, so you can see the errors and assumptions that seasoned contributors have glossed over.
This disclaimer was originally written by
Adrienne Lowe <https://github.com/adriennefriend>
_ for a
PyCon talk <https://www.youtube.com/watch?v=6Uj746j9Heo>
, and was adapted by
dust_extinction based on its use in the README file for the
MetPy project <https://github.com/Unidata/MetPy>
.
This project is Copyright (c) Karl Gordon and Kristen Larson and licensed under
the terms of the BSD 3-Clause license. This package is based upon
the Astropy package template <https://github.com/astropy/package-template>
_
which is licensed under the BSD 3-clause licence. See the licenses folder for
more information.
.. _AstroPy: https://www.astropy.org/ .. _developer: https://docs.astropy.org/en/latest/index_dev.html .. _Astropy Code of Conduct: https://www.astropy.org/code_of_conduct.html
FAQs
Interstellar Dust Extinction Models
We found that dust-extinction demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
The official Go SDK for the Model Context Protocol is in development, with a stable, production-ready release expected by August 2025.
Security News
New research reveals that LLMs often fake understanding, passing benchmarks but failing to apply concepts or stay internally consistent.
Security News
Django has updated its security policies to reject AI-generated vulnerability reports that include fabricated or unverifiable content.