Bluemath
Provide a set of statistical tools tailored for climate data analysis, with a focus on statistical classification and prediction.
https://github.com/geoocean/bluemath_tk
Category: Climate Change
Sub Category: Climate Data Processing and Analysis
Last synced: about 9 hours ago
JSON representation
Repository metadata
- Host: GitHub
- URL: https://github.com/geoocean/bluemath_tk
- Owner: GeoOcean
- License: gpl-3.0
- Created: 2024-11-04T15:44:47.000Z (over 1 year ago)
- Default Branch: develop
- Last Pushed: 2026-07-08T10:13:11.000Z (16 days ago)
- Last Synced: 2026-07-09T07:03:54.367Z (15 days ago)
- Language: Python
- Homepage: https://geoocean.github.io/BlueMath_tk/
- Size: 10.9 MB
- Stars: 22
- Watchers: 3
- Forks: 12
- Open Issues: 0
- Releases: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Zenodo: .zenodo.json
README.md
Bluemath {Toolkit}
Module collection for custom climate data analysis. The main objective of this Python package is to provide a set of statistical tools tailored for climate data analysis, with a focus on statistical classification and prediction.
The package also includes a set of utility functions for processing climate data. To facilitate understanding of how to use these modules, simple demonstration scripts and the necessary data have been added to this repository.
Installation
pip install bluemath-tk
conda install conda-forge::bluemath-tk
Project status
- UNDER DEVELOPMENT
Owner metadata
- Name: GeoOcean
- Login: GeoOcean
- Email:
- Kind: organization
- Description: Geomatics and Ocean Engineering Group
- Website: https://geoocean.unican.es/index.html
- Location: Spain
- Twitter: GeoOcean_UC
- Company:
- Icon url: https://avatars.githubusercontent.com/u/183629105?v=4
- Repositories: 1
- Last ynced at: 2024-10-24T01:45:20.980Z
- Profile URL: https://github.com/GeoOcean
GitHub Events
Total
- Delete event: 54
- Member event: 1
- Pull request event: 105
- Fork event: 7
- Issues event: 48
- Watch event: 12
- Issue comment event: 19
- Push event: 288
- Public event: 1
- Pull request review event: 10
- Create event: 90
Last Year
- Delete event: 6
- Member event: 1
- Pull request event: 14
- Issues event: 3
- Watch event: 4
- Push event: 39
- Pull request review event: 1
- Create event: 11
Committers metadata
Last synced: 2 days ago
Total Commits: 552
Total Committers: 18
Avg Commits per committer: 30.667
Development Distribution Score (DDS): 0.317
Commits in past year: 154
Committers in past year: 9
Avg Commits per committer in past year: 17.111
Development Distribution Score (DDS) in past year: 0.578
| Name | Commits | |
|---|---|---|
| Javier Tausia Hoyal | t****j@u****s | 377 |
| Colladito | v****1@g****m | 104 |
| FaugereE | f****e@u****s | 30 |
| Pablo Alonso | a****p@u****s | 7 |
| valvanuz | v****z@u****s | 6 |
| JenMontano | j****z@g****m | 5 |
| Sergio | s****d@g****m | 4 |
| Jared Ortiz Angulo | o****j@u****s | 3 |
| manzoragu | m****a@u****s | 3 |
| Javier Tausia | t****j@g****s | 3 |
| Alba Ricondo | a****o@o****u | 2 |
| Laura Cagigal | c****l@u****s | 2 |
| AlvaroVal | a****9@a****s | 1 |
| Gabriel Bellido | b****g@u****s | 1 |
| faster | f****r@l****n | 1 |
| Etienne Jean Pierre Faugére | f****e@g****s | 1 |
| Alba Ricondo | r****l@c****u | 1 |
| Pablo Alonso | a****p@u****s | 1 |
Committer domains:
- unican.es: 8
- capefalcon.ceoas.oregonstate.edu: 1
- geocean01.sci.unican.es: 1
- localhost.localdomain: 1
- alumnos.unican.es: 1
- oregonstate.edu: 1
- geocean08.sci.unican.es: 1
- ui.sci.unican.es: 1
Issue and Pull Request metadata
Last synced: 8 days ago
Total issues: 21
Total pull requests: 70
Average time to close issues: 8 days
Average time to close pull requests: about 17 hours
Total issue authors: 6
Total pull request authors: 9
Average comments per issue: 0.33
Average comments per pull request: 0.1
Merged pull request: 45
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 19
Past year average time to close issues: 2 months
Past year average time to close pull requests: 2 days
Past year issue authors: 1
Past year pull request authors: 6
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.21
Past year merged pull request: 14
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- tausiaj (8)
- fernanqv (8)
- gbellidoprieto (2)
- jaredoac (1)
- albaricondo (1)
- lauracagigal (1)
Top Pull Request Authors
- tausiaj (47)
- FaugereE (8)
- viccollado (5)
- sergioald (4)
- jaredoac (2)
- fernanqv (1)
- albaricondo (1)
- lauracagigal (1)
- gbellidoprieto (1)
Top Issue Labels
- enhancement (7)
- bug (2)
- documentation (1)
- question (1)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 554 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 44
- Total maintainers: 1
pypi.org: bluemath-tk
Module collection for custom climate data analysis. The main objective of this Python package is to provide a set of statistical tools tailored for climate data analysis, with a focus on statistical classification and prediction.
- Homepage: https://github.com/GeoOcean/BlueMath_tk
- Documentation: https://geoocean.github.io/BlueMath_tk/
- Licenses: GNU General Public License v3 (GPLv3)
- Latest release: 1.1.17 (published 8 months ago)
- Last Synced: 2026-07-13T13:04:35.845Z (10 days ago)
- Versions: 44
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 554 Last month
-
Rankings:
- Dependent packages count: 9.884%
- Average: 32.759%
- Dependent repos count: 55.635%
- Maintainers (1)
Dependencies
- aiohttp *
- cartopy *
- cmocean *
- csaps *
- dask *
- distributed *
- h5py *
- ipykernel *
- ipywidgets *
- jinja2 *
- matplotlib *
- minisom *
- netcdf4 *
- numba *
- numpy *
- pandas *
- plotly *
- prettytable *
- pyclustering *
- regionmask *
- requests *
- scikit-learn *
- scipy *
- siphon *
- statsmodels *
- xarray *
- zarr *
- actions/checkout v4 composite
- actions/setup-python v5 composite
- peaceiris/actions-gh-pages v3 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
Score: 12.300382325000914