PDR

PDR: The Planetary Data Reader - Published in JOSS (2024)

https://github.com/millionconcepts/pdr

Last synced: 6 months ago · JSON representation ·

Repository

[P]lanetary [D]ata [R]eader - A single function to read all Planetary Data System (PDS) data into Python

Basic Info

Host: GitHub
Owner: MillionConcepts
License: other
Language: Python
Default Branch: main
Size: 26.8 MB

Statistics

Stars: 69
Watchers: 10
Forks: 5
Open Issues: 10
Releases: 26

Created over 5 years ago · Last pushed 6 months ago

Metadata Files

Readme License Code of conduct Citation Support

The Planetary Data Reader (pdr)

This tool provides a single command---read(‘/path/to/file’)---for ingesting all common planetary data types. It reads almost all "primary observational data" products currently archived in the PDS (under PDS3 or PDS4), and the fraction of products it does not read is continuously shrinking. Currently-supported datasets are listed here.

If the software fails while attempting to read from datasets that we have listed as supported, please submit an issue with a link to the file and information about the error (if applicable). There might also be datasets that work but are not listed. We would like to hear about those too. If a dataset is not yet supported that you would like us to consider prioritizing, please fill out this request form.

Attribution

If you use pdr in your work, please cite us using our JOSS Paper: . A BibTex style citation is available in CITATION.cff.

Installation

pdr is now on conda and pip. We recommend (and only officially support) installation into a conda environment. You can do this like so:

conda create --name pdrenv conda activate pdrenv conda install -c conda-forge pdr The minimum supported version of Python is 3.9.

Using the conda install will install some optional dependencies in the environment.yml file for pdr including: astropy and pillow. If you'd prefer to forego those optional dependencies, please use minimal_environment.yml in your installation. This is not supported through a direct conda install as described above and will require additional steps. Optional dependencies and the added functionality they support are listed below:

pvl: allows Data.load("LABEL", as_pvl=True), which will load PDS3 labels as pvl objects rather than plain text
astropy: adds support for FITS files
jupyter: allows usage of the Example Jupyter Notebook (and other jupyter notebooks you create)
pillow: adds support for reading a variety of 'desktop' image formats (TIFF, JPEG, etc.) and for browse image rendering
Levenshtein: allows use of metaget_fuzzy, a fuzzy-matching metadata parsing function

For pip users, no optional dependencies will be packaged with pdr. The extras tags are: - pvl: installs pvl - fits: installs astropy - notebooks: installs jupyter - pillow: installs pillow - fuzzy: installs Levenshtein

Example syntax for using pip to install syntax with astropy and pillow optional dependencies: pip install pdr[fits, pillow]

NOTE: `pdr` is not currently compatible with python 3.13 when installed with `pip`, it can be used with python 3.13 through `conda`

Usage

You can check out our example Notebook on a JupyterLite server for a quick interactive demo of functionality:

Additional information on usage including examples, output data types, notes and caveats, tests, etc. can now be accessed in our documentation on readthedocs at: https://pdr.readthedocs.io

Contributing

Thank you for wanting to contribute to pdr and improving efforts to make planetary science data accessible. Please review our code of conduct before contributing.

If you have found a bug, a dataset that we claim to support that's not opening properly, or you have a feature request, please file an issue. We will also review pull requests, but would probably prefer you start the conversation with us first, so we can expect your contributions and make sure they will be within scope.

If you need general support you can find us on OpenPlanetary Slack (available to OpenPlanetary members) or feel free to email the team.

This work is supported by NASA grant No. 80NSSC21K0885.

Owner

Name: Million Concepts
Login: MillionConcepts
Kind: organization
Email: admin@millionconcepts.com

Website: www.millionconcepts.com
Repositories: 13
Profile: https://github.com/MillionConcepts

JOSS Publication

PDR: The Planetary Data Reader

Published

October 09, 2024

DOI

10.21105/joss.07256

Volume 9, Issue 102, Page 7256

Authors

Sierra V. Brown

Million Concepts LLC, USA

Michael St. Clair

Million Concepts LLC, USA

Chase Million

Million Concepts LLC, USA

Sabrina A. Curtis

Million Concepts LLC, USA

K.-Michael Aye

Institut für Geologische Wissenschaften, Freie Universität Berlin, Germany

Zack Weinberg

Million Concepts LLC, USA

Editor

Dan Foreman-Mackey

Citation (CITATION.cff)

If you use pdr for any published work, please cite it using the reference below:

@article{Brown2024,
    author = {{Brown}, Sierra V. and {St. Clair}, Michael and {Million}, Chase
              and {Curtis}, Sabrina and {Aye}, K. -Michael and {Weinberg}, Zack},
    year = {2024},
    journal = {Journal of Open Source Software},
    title = {PDR: The Planetary Data Reader},
    year = {2024},
    url = {https://doi.org/10.21105/joss.07256},
    publisher = {The Open Journal},
    volume = {9},
    number = {102},
    pages = {7256},
    doi = {10.21105/joss.07256}
    }

GitHub Events

Total

Create event: 8
Issues event: 9
Release event: 2
Watch event: 9
Delete event: 6
Issue comment event: 13
Push event: 81

Last Year

Create event: 8
Issues event: 9
Release event: 2
Watch event: 9
Delete event: 6
Issue comment event: 13
Push event: 81

Committers

Last synced: 7 months ago

All Time

Total Commits: 1,319
Total Committers: 7
Avg Commits per committer: 188.429
Development Distribution Score (DDS): 0.56

Past Year

Commits: 206
Committers: 6
Avg Commits per committer: 34.333
Development Distribution Score (DDS): 0.607

Top Committers

Name	Email	Commits
Michael St. Clair	m**r@m**m	580
Sierra Brown	s**a@m**m	477
Sabrina Curtis	s**s@m**m	165
Chase Million	c**e@m**m	61
Zack Weinberg	z**k@m**m	34
Warrick Ball	w**l@g**m	1
Michael Aye	m****e	1

Committer Domains (Top 20 + Academic)

millionconcepts.com: 5

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 72
Total pull requests: 9
Average time to close issues: about 2 months
Average time to close pull requests: about 4 hours
Total issue authors: 20
Total pull request authors: 4
Average comments per issue: 3.28
Average comments per pull request: 0.11
Merged pull requests: 7
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 18
Pull requests: 1
Average time to close issues: 5 days
Average time to close pull requests: 36 minutes
Issue authors: 9
Pull request authors: 1
Average comments per issue: 2.0
Average comments per pull request: 1.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

m-stclair (21)
msbentley (18)
Sierra-MC (14)
AlimyBreak (3)
gaelccc (2)
AndrewAnnex (2)
zackw (2)
justinbl (1)
fkmjr (1)
alemran042 (1)
sschmaus (1)
wkiri (1)
afrigeri (1)
thareUSGS (1)
warrickball (1)

Pull Request Authors

m-stclair (6)
michaelaye (1)
warrickball (1)
cmillion (1)

Top Labels

Issue Labels

bug (16) set-specific (10) feature (9) enhancement (7) testing (6) refactor (6) priority: medium (5) priority: high (5) priority: low (3) labels (3) verbosity (1) documentation (1) help wanted (1) optimization (1)

Pull Request Labels

Packages

Total packages: 2
Total downloads:
- pypi 1,030 last-month
Total docker downloads: 45

Total dependent packages: 4
(may contain duplicates)
Total dependent repositories: 2
(may contain duplicates)
Total versions: 33
Total maintainers: 2

pypi.org: pdr

Planetary Data Reader

Documentation: https://pdr.readthedocs.io/
License: ### BSD 3-Clause License Copyright (c) 2021, Million Concepts All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. 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. 3. 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. ### pdr/pds4_tools is derived from code in the Small Bodies Node [pds4_tools package](https://github.com/Small-Bodies-Node/pds4_tools) and carries this additional license: Copyright (c) 2015 - 2024, University of Maryland 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 University of Maryland 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 UNIVERSITY OF MARYLAND 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. ---------------------------------------------------------------------------- This software takes inspiration from the SAOImage DS9 and fv FITS Viewer tools, and would like to thank the developers of those applications. ---------------------------------------------------------------------------- This software may be packaged by software licensed by the following: Copyright (c) 2010-2018, PyInstaller Development Team Copyright (c) 2005-2009, Giovanni Bajo Based on previous work under copyright (c) 2002 McMillan Enterprises, Inc. PyInstaller is licensed under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or any later version. ---------------------------------------------------------------------------- This software may be packaged by software licensed by the following: Copyright (c) 2004-2006 Bob Ippolito <bob at redivi.com>. Copyright (c) 2010-2012 Ronald Oussoren <ronaldoussoren at mac.com>. py2app is licensed under the terms of the MIT or PSF open source licenses. ---------------------------------------------------------------------------- This software includes or uses code licensed by the following: Copyright (c) 2010-2015 Benjamin Peterson Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ---------------------------------------------------------------------------- This software includes or uses code licensed by the following: Copyright (c) 2005-2017, NumPy Developers. 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 NumPy Developers nor the names of any 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 OWNER 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. ---------------------------------------------------------------------------- This software includes or uses code licensed by the following: Copyright (c) 2012-2021 Matplotlib Development Team All Rights Reserved. 1. This LICENSE AGREEMENT is between the Matplotlib Development Team ("MDT"), and the Individual or Organization ("Licensee") accessing and otherwise using matplotlib software in source or binary form and its associated documentation. 2. Subject to the terms and conditions of this License Agreement, MDT hereby grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, analyze, test, perform and/or display publicly, prepare derivative works, distribute, and otherwise use matplotlib alone or in any derivative version, provided, however, that MDT's License Agreement and MDT's notice of copyright, i.e., "Copyright (c) 2012- Matplotlib Development Team; All Rights Reserved" are retained in matplotlib alone or in any derivative version prepared by Licensee. 3. In the event Licensee prepares a derivative work that is based on or incorporates matplotlib or any part thereof, and wants to make the derivative work available to others as provided herein, then Licensee hereby agrees to include in any such work a brief summary of the changes made to matplotlib . 4. MDT is making matplotlib available to Licensee on an "AS IS" basis. MDT MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, MDT MAKES NO AND DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB WILL NOT INFRINGE ANY THIRD PARTY RIGHTS. 5. MDT SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING MATPLOTLIB , OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. 6. This License Agreement will automatically terminate upon a material breach of its terms and conditions. 7. Nothing in this License Agreement shall be deemed to create any relationship of agency, partnership, or joint venture between MDT and Licensee. This License Agreement does not grant permission to use MDT trademarks or trade name in a trademark sense to endorse or promote products or services of Licensee, or any third party. 8. By copying, installing or otherwise using matplotlib , Licensee agrees to be bound by the terms and conditions of this License Agreement. ---------------------------------------------------------------------------- This software includes or uses code licensed by the following: Copyright (c) 2015, Daniel Greenfeld 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 cached-property 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. ---------------------------------------------------------------------------- This software includes or uses code licensed by the following: Copyright (C) 2005 Association of Universities for Research in Astronomy (AURA) Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. 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. 3. The name of AURA and its representatives may not be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY AURA ``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 AURA 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. ---------------------------------------------------------------------------- This software includes or uses code licensed by the following: Copyright (c) 2011-2024, Astropy Developers 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 Astropy Team 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.
Latest release: 1.4.0
published 12 months ago

Versions: 27
Dependent Packages: 2
Dependent Repositories: 1
Downloads: 1,030 Last month
Docker Downloads: 45

Rankings

Dependent packages count: 3.1%

Stargazers count: 9.7%

Average: 12.2%

Downloads: 12.3%

Forks count: 14.2%

Dependent repos count: 21.7%

Maintainers (2)

mstclair Sierra-MC

Last synced: 6 months ago

conda-forge.org: pdr

pdr, the Planetary Data Reader, is a tool which provides a single command -- read('/path/to/file') -- for ingesting all common planetary data types.

Homepage: https://github.com/MillionConcepts/pdr
License: BSD-3-Clause
Latest release: 0.7.2
published over 3 years ago

Versions: 6
Dependent Packages: 2
Dependent Repositories: 1

Rankings

Dependent packages count: 19.6%

Dependent repos count: 24.2%

Average: 35.5%

Stargazers count: 44.3%

Forks count: 54.0%

Last synced: 6 months ago

PDR

Science Score: 98.0%

Repository

Basic Info

Statistics

Metadata Files

README.md

The Planetary Data Reader (pdr)

Attribution

Installation

NOTE: pdr is not currently compatible with python 3.13 when installed with pip, it can be used with python 3.13 through conda

Usage

Contributing

Owner

JOSS Publication

PDR: The Planetary Data Reader

Authors

Editor

Tags

Citation (CITATION.cff)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: pdr

Rankings

Maintainers (2)

conda-forge.org: pdr

Rankings

Dependencies

NOTE: `pdr` is not currently compatible with python 3.13 when installed with `pip`, it can be used with python 3.13 through `conda`