Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 5 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.4%) to scientific vocabulary
Keywords
Repository
Python library for visualizing SuperDARN Data
Basic Info
Statistics
- Stars: 35
- Watchers: 8
- Forks: 11
- Open Issues: 11
- Releases: 14
Topics
Metadata Files
README.md
Python data visualization library for the Super Dual Auroral Radar Network (SuperDARN).
Changelog
Version 4.1.1 - Patch Release!
This patch release includes:
- matplotlib v3.10 support (fixed incompatibility)
- scipy dependency capped at v1.14.1
- NEW marker and markersize kwargs for pydarn.Fan.plot_radar_position()
- NEW pydarn.RadarID enum abstracting away the station ID numbers of each radar
Documentation
pyDARN's documentation can be found here
Getting Started
pip install pydarn
Or read the installation guide.
If wish to get access to SuperDARN data please read the SuperDARN data access documentation. Please make sure to also read the documentation on citing superDARN and pydarn.
As a quick tutorial on using pydarn to read a non-compressed file:
```python import matplotlib.pyplot as plt
import pydarn
read a non-compressed file
fitacf_file = '20190831.C0.cly.fitacf'
pyDARN functions to read a fitacf file
fitacfdata = pydarn.SuperDARNRead(fitacffile).read_fitacf()
pydarn.RTP.plotsummary(fitacfdata, beam_num=2) plt.show() ```
For more information and tutorials on pyDARN please see the tutorial section.
We also have a Jupyter notebook with many examples to support our recent publication.
Getting involved
pyDARN is always looking for testers and developers keen on learning python, github, and/or SuperDARN data visualizations! Here are some ways to get started:
- Testing Pull Request: to determine which pull requests need to be tested right away, filter them by their milestones (v3.0 is currently highest priority).
- Getting involved in projects: if you are looking to help in a specific area, look at pyDARN's projects tab. The project you are interested in will give you information on what is needed to reach completion. This includes things currently in progress, and those awaiting reviews.
- Answer questions: if you want to try your hand at answering some pyDARN questions, or adding to the discussion, look at pyDARN's issues and filter by labels.
- Become a developer: if you want to practice those coding skills and add to the library, look at pyDARN issues and filter by milestone's to see what needs to get done right away.
Please read pyDARN team on how to join the pyDARN team.
Owner
- Name: SuperDARN
- Login: SuperDARN
- Kind: organization
- Website: github.com/superdarn
- Repositories: 10
- Profile: https://github.com/SuperDARN
Github for the international Super Dual Auroral Radar Network (SuperDARN) community
GitHub Events
Total
- Create event: 8
- Release event: 2
- Issues event: 9
- Watch event: 5
- Delete event: 8
- Issue comment event: 31
- Push event: 21
- Pull request review event: 4
- Pull request event: 19
Last Year
- Create event: 8
- Release event: 2
- Issues event: 9
- Watch event: 5
- Delete event: 8
- Issue comment event: 31
- Push event: 21
- Pull request review event: 4
- Pull request event: 19
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 5
- Total pull requests: 11
- Average time to close issues: 3 months
- Average time to close pull requests: about 1 month
- Total issue authors: 4
- Total pull request authors: 3
- Average comments per issue: 3.6
- Average comments per pull request: 0.36
- Merged pull requests: 10
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 5
- Pull requests: 11
- Average time to close issues: 3 months
- Average time to close pull requests: about 1 month
- Issue authors: 4
- Pull request authors: 3
- Average comments per issue: 3.6
- Average comments per pull request: 0.36
- Merged pull requests: 10
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- carleyjmartin (11)
- RemingtonRohel (3)
- aburrell (1)
- sapols (1)
- Yas979 (1)
- billetd (1)
- victoriyaforsythe (1)
- prakas27 (1)
Pull Request Authors
- carleyjmartin (14)
- RemingtonRohel (13)
- billetd (9)
- ksterne (2)
- PrestonXPitzer (1)
- shibaji7 (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 242 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 15
- Total maintainers: 5
pypi.org: pydarn
Data visualization library for SuperDARN data
- Homepage: https://pydarn.readthedocs.io/en/latest/
- Documentation: https://pydarn.readthedocs.io/
- License: GNU Lesser General Public License v3 (LGPLv3)
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Latest release: 4.1.2
published 10 months ago