| Name | lcviz JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | A Jdaviz-based light curve analysis and visualization tool |
| upload_time | 2024-12-02 15:36:23 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | BSD 3-Clause License Copyright (c) 2023, Association of Universities for Research in Astronomy. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
astronomy
astrophysics
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
jdaviz
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
.. image:: docs/logos/lcviz.svg
:width: 400
:alt: lcviz logo
:align: center
.. image:: https://github.com/spacetelescope/lcviz/workflows/CI/badge.svg
:target: https://github.com/spacetelescope/lcviz/actions
:alt: GitHub Actions CI Status
.. image:: https://codecov.io/gh/spacetelescope/lcviz/branch/main/graph/badge.svg
:target: https://codecov.io/gh/spacetelescope/lcviz
.. image:: https://readthedocs.org/projects/lcviz/badge/?version=latest
:target: https://lcviz.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat
:target: http://www.astropy.org
:alt: Powered by Astropy Badge
.. image:: http://img.shields.io/badge/powered%20by-jdaviz-336699.svg?style=flat
:target: https://github.com/spacetelescope/jdaviz/
:alt: Powered by jdaviz Badge
.. image:: http://img.shields.io/badge/powered%20by-lightkurve-6570b1.svg?style=flat
:target: https://github.com/lightkurve/lightkurve/
:alt: Powered by lightkurve Badge
License
-------
See `LICENSE.rst` for more information.
Contributing
------------
We love contributions! `lcviz` is open source,
built on open source, and we'd love to have you hang out in our community.
**Imposter 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.
*Note:* 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
lcviz based on its use in the README file for the
`MetPy project <https://github.com/Unidata/MetPy>`_.
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