Science Score: 46.0%
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
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✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
2 of 5 committers (40.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.9%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Seasonal Analysis routines for pysat
Basic Info
Statistics
- Stars: 4
- Watchers: 4
- Forks: 1
- Open Issues: 6
- Releases: 6
Topics
Metadata Files
README.md
pysatSeasons
pysatSeasons allows users to run seasonal data analyses over N-dimensional data sets managed through the pysat module.
Main Features
- Seasonal binning and averaging routines for 1D and 2D distributions of nD data.
- Occurrence probability routines, daily or by orbit.
- Scatterplot of data_label(s) over two dimensions over a season.
Installation
Prerequisites
pysatSeasons uses common Python modules, as well as modules developed by and for the Space Physics community.
| Common modules | Community modules | | -------------- | ----------------- | | matplotlib | pysat >= 3.2.0 | | numpy | | | pandas | | | xarray | |
GitHub Installation
First, checkout the repository:
git clone https://github.com/pysat/pysatSeasons.git
Change directories into the repository folder and run the setup.py file. For a local install use the "--user" flag after "install".
cd pysatSeasons/
python setup.py install
Owner
- Name: pysat
- Login: pysat
- Kind: organization
- Email: pysatDevelopers@gmail.com
- Website: https://join.slack.com/t/pysat/shared_invite/zt-tb9p2fhs-MgFVmA6TwmBhfqpuZeD4rA
- Twitter: pysatDevelopers
- Repositories: 15
- Profile: https://github.com/pysat
GitHub Events
Total
- Create event: 2
- Issues event: 1
- Release event: 1
- Watch event: 1
- Delete event: 1
- Issue comment event: 1
- Push event: 6
- Pull request event: 5
- Gollum event: 2
- Pull request review event: 14
- Pull request review comment event: 13
Last Year
- Create event: 2
- Issues event: 1
- Release event: 1
- Watch event: 1
- Delete event: 1
- Issue comment event: 1
- Push event: 6
- Pull request event: 5
- Gollum event: 2
- Pull request review event: 14
- Pull request review comment event: 13
Committers
Last synced: 9 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Jeff Klenzing | j****g@g****m | 233 |
| Russell Stoneback | r****a@u****u | 232 |
| Angeline G. Burrell | a****l@n****l | 9 |
| Carey Spence | j****e | 9 |
| Smith | j****7@g****v | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 13
- Total pull requests: 36
- Average time to close issues: over 1 year
- Average time to close pull requests: 29 days
- Total issue authors: 2
- Total pull request authors: 3
- Average comments per issue: 0.92
- Average comments per pull request: 1.5
- Merged pull requests: 33
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 5
- Average time to close issues: N/A
- Average time to close pull requests: 24 days
- Issue authors: 0
- Pull request authors: 3
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- jklenzing (11)
- rstoneback (3)
Pull Request Authors
- jklenzing (33)
- rstoneback (6)
- aburrell (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 8 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 5
- Total maintainers: 3
pypi.org: pysatseasons
Seasonal analysis routines for pysat
- Documentation: https://pysatseasons.readthedocs.io/en/latest/
- License: BSD 3-Clause License Copyright (c) 2024, pysat 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.
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Latest release: 0.2.1
published over 1 year ago
Rankings
Dependencies
- matplotlib *
- numpy <1.20
- pandas <0.25
- pysat >=3.0
- coveralls * test
- ipython * test
- m2r2 * test
- nose * test
- numpydoc * test
- pytest-cov * test
- pytest-flake8 * test
- pytest-ordering * test
- sphinx * test
- sphinx_rtd_theme * test
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- ipython *
- m2r2 *
- matplotlib *
- numpy *
- numpydoc *
- pandas *
- pysat *
- xarray *