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pypromice
Deliver data about the mass balance of the Greenland ice sheet in near real-time.
https://github.com/GEUS-Glaciology-and-Climate/pypromice
greenland weather weather-station
Last synced: about 4 hours ago
JSON representation
Repository metadata
Process AWS data from L0 (raw logger) through Lx (end user)
- Host: GitHub
- URL: https://github.com/GEUS-Glaciology-and-Climate/pypromice
- Owner: GEUS-Glaciology-and-Climate
- License: gpl-2.0
- Created: 2020-09-15T11:37:27.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-05-09T17:07:43.000Z (2 days ago)
- Last Synced: 2024-05-11T06:03:43.984Z (about 7 hours ago)
- Topics: greenland, weather, weather-station
- Language: Python
- Homepage: https://pypromice.readthedocs.io
- Size: 96.6 MB
- Stars: 12
- Watchers: 3
- Forks: 4
- Open Issues: 55
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
- Citation: CITATION.cff
README
# pypromice
[![PyPI version](https://badge.fury.io/py/pypromice.svg)](https://badge.fury.io/py/pypromice) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/pypromice/badges/version.svg)](https://anaconda.org/conda-forge/pypromice) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/pypromice/badges/platforms.svg)](https://anaconda.org/conda-forge/pypromice) [![]()](https://www.doi.org/10.22008/FK2/3TSBF0) [![DOI](https://joss.theoj.org/papers/10.21105/joss.05298/status.svg)](https://doi.org/10.21105/joss.05298) [![Documentation Status](https://readthedocs.org/projects/pypromice/badge/?version=latest)](https://pypromice.readthedocs.io/en/latest/?badge=latest)
pypromice is designed for processing and handling [PROMICE](https://promice.org) automated weather station (AWS) data.It is envisioned for pypromice to be the go-to toolbox for handling and processing [PROMICE](https://promice.dk) and [GC-Net](http://cires1.colorado.edu/steffen/gcnet/) datasets. New releases of pypromice are uploaded alongside PROMICE AWS data releases to our [Dataverse](https://dataverse.geus.dk/dataverse/PROMICE) for transparency purposes and to encourage collaboration on improving our data. Please visit the pypromice [readthedocs](https://pypromice.readthedocs.io/en/latest/?badge=latest) for more information.
If you intend to use PROMICE AWS data and/or pypromice in your work, please cite these publications below, along with any other applicable PROMICE publications where possible:
**Fausto, R.S., van As, D., Mankoff, K.D., Vandecrux, B., Citterio, M., Ahlstrøm, A.P., Andersen, S.B., Colgan, W., Karlsson, N.B., Kjeldsen, K.K., Korsgaard, N.J., Larsen, S.H., Nielsen, S., Pedersen, A.Ø., Shields, C.L., Solgaard, A.M., and Box, J.E. (2021) Programme for Monitoring of the Greenland Ice Sheet (PROMICE) automatic weather station data, Earth Syst. Sci. Data, 13, 3819–3845, [https://doi.org/10.5194/essd-13-3819-2021](https://doi.org/10.5194/essd-13-3819-2021)**
**How, P., Wright, P.J., Mankoff, K., Vandecrux, B., Fausto, R.S. and Ahlstrøm, A.P. (2023) pypromice: A Python package for processing automated weather station data, Journal of Open Source Software, 8(86), 5298, [https://doi.org/10.21105/joss.05298](https://doi.org/10.21105/joss.05298)**
**How, P., Lund, M.C., Nielsen, R.B., Ahlstrøm, A.P., Fausto, R.S., Larsen, S.H., Mankoff, K.D., Vandecrux, B., Wright, P.J. (2023) pypromice, GEUS Dataverse, [https://doi.org/10.22008/FK2/3TSBF0](https://doi.org/10.22008/FK2/3TSBF0)**
## Installation
### Quick install
The latest release of pypromice can installed using conda or pip:
```
$ conda install pypromice -c conda-forge
``````
$ pip install pypromice
```For the most up-to-date version, pypromice can be installed directly from the repo:
```
$ pip install --upgrade git+http://github.com/GEUS-Glaciology-and-Climate/pypromice.git
```### Developer install
pypromice can be ran in an environment with the pypromice repo:```
$ conda create --name pypromice python=3.8
$ conda activate pypromice
$ git clone [email protected]:GEUS-Glaciology-and-Climate/pypromice.git
$ cd pypromice/
$ pip install .
```### Additional dependencies
Additional packages are required if you wish to use pypromice's post-processing functionality.
[eccodes](https://confluence.ecmwf.int/display/ECC/ecCodes+installation) is the official package for BUFR encoding and decoding. Try firstly to install with conda-forge like so:
```
$ conda install -c conda-forge eccodes
```If the environment cannot resolve the eccodes installation then follow the steps documented [here](https://gist.github.com/MHBalsmeier/a01ad4e07ecf467c90fad2ac7719844a) to download eccodes and then install eccodes' python bindings using pip.
```
$ pip3 install eccodes-python
```
Citation (CITATION.cff)
cff-version: 1.2.0 title: pypromice message: >- If you use this software, please cite it using the metadata from this file type: software authors: - given-names: Penelope family-names: How email: [email protected] affiliation: GEUS orcid: 'https://orcid.org/0000-0002-8088-8497' - given-names: Mads Christian family-names: Lund email: [email protected] affiliation: GEUS orcid: 'https://orcid.org/0009-0009-0446-8253' - given-names: Rasmus Bahbah family-names: Nielsen email: [email protected] affiliation: GEUS orcid: 'https://orcid.org/0000-0003-2342-639X' - given-names: Andreas P. family-names: Ahlstrøm email: [email protected] affiliation: GEUS orcid: 'https://orcid.org/0000-0001-8235-8070' - given-names: Robert S. email: [email protected] family-names: Fausto affiliation: GEUS orcid: 'https://orcid.org/0000-0003-1317-8185' - given-names: Signe Hillerup family-names: Larsen email: [email protected] affiliation: GEUS orcid: 'https://orcid.org/0000-0002-3656-3521' - given-names: Kenneth D. family-names: Mankoff email: [email protected] affiliation: NASA GISS orcid: 'https://orcid.org/0000-0001-5453-2019' - given-names: Baptiste family-names: Vandecrux email: [email protected] affiliation: GEUS orcid: 'https://orcid.org/0000-0002-4169-8973' - given-names: Patrick J. family-names: Wright orcid: 'https://orcid.org/0000-0003-2999-9076' affiliation: Synoptic email: [email protected] identifiers: - type: doi value: 10.21105/joss.05298 description: JOSS software paper - type: doi value: 10.22008/FK2/3TSBF0 description: Dataverse for releases repository-code: 'https://github.com/GEUS-Glaciology-and-Climate/pypromice' url: 'https://pypromice.readthedocs.io/' keywords: - weather - weather-station - greenland - python license: GPL-2.0
Owner metadata
- Name: GEUS Glaciology and Climate
- Login: GEUS-Glaciology-and-Climate
- Email:
- Kind: organization
- Description: GEUS Department of Glaciology and Climate
- Website: https://eng.geus.dk/about/organisation/departments/glaciology-and-climate
- Location: Copenhagen, Denmark
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/71171316?v=4
- Repositories: 41
- Last ynced at: 2024-04-16T01:11:30.089Z
- Profile URL: https://github.com/GEUS-Glaciology-and-Climate
GitHub Events
Total
- Fork event: 4
- Create event: 89
- Commit comment event: 3
- Release event: 12
- Issues event: 143
- Watch event: 10
- Delete event: 61
- Issue comment event: 222
- Member event: 1
- Push event: 504
- Pull request review comment event: 183
- Pull request review event: 235
- Pull request event: 145
Last Year
- Commit comment event: 1
- Create event: 62
- Delete event: 42
- Fork event: 4
- Issue comment event: 105
- Issues event: 89
- Pull request event: 107
- Pull request review comment event: 120
- Pull request review event: 158
- Push event: 288
- Release event: 10
- Watch event: 4
Committers metadata
Last synced: 1 day ago
Total Commits: 465
Total Committers: 11
Avg Commits per committer: 42.273
Development Distribution Score (DDS): 0.735
Commits in past year: 147
Committers in past year: 7
Avg Commits per committer in past year: 21.0
Development Distribution Score (DDS) in past year: 0.558
Name | Commits | |
---|---|---|
PennyHow | p****o@g****k | 123 |
Kenneth D. Mankoff | m****f@g****m | 107 |
Patrick Wright | p****r@g****k | 87 |
Mads Christian Lund | m****u@g****k | 65 |
BaptisteVandecrux | b****x@g****m | 47 |
Baptiste Vandecrux | 3****x | 15 |
Penny How | p****o@g****1 | 14 |
Rasmus Bahbah Nielsen | 1****h | 3 |
Ubuntu | a****s@a****t | 2 |
Andreas P. Ahlstrøm | 8****2 | 1 |
Johannes Röttenbacher | 4****r | 1 |
Committer domains:
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 104
Total pull requests: 91
Average time to close issues: 7 months
Average time to close pull requests: 4 days
Total issue authors: 11
Total pull request authors: 6
Average comments per issue: 1.91
Average comments per pull request: 0.82
Merged pull request: 77
Bot issues: 0
Bot pull requests: 0
Past year issues: 44
Past year pull requests: 52
Past year average time to close issues: about 2 months
Past year average time to close pull requests: 5 days
Past year issue authors: 8
Past year pull request authors: 5
Past year average comments per issue: 1.02
Past year average comments per pull request: 0.44
Past year merged pull request: 41
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- BaptisteVandecrux (40)
- PennyHow (25)
- mankoff (21)
- patrickjwright (9)
- jroettenbacher (3)
- fsn1995 (1)
- jasonebox (1)
- ladsmund (1)
- RasmusBahbah (1)
- robertfausto (1)
- simonrp84 (1)
Top Pull Request Authors
- PennyHow (41)
- BaptisteVandecrux (16)
- ladsmund (14)
- patrickjwright (13)
- RasmusBahbah (6)
- jroettenbacher (1)
Top Issue Labels
- enhancement (21)
- L0 (13)
- bug (10)
- documentation (9)
- L3 (8)
- fixed in future release (8)
- L2 (6)
- TX (6)
- L1 (6)
- v4 (Py) (6)
- v3 (IDL) (4)
- L0M (3)
- raw (2)
- help wanted (1)
- question (1)
Top Pull Request Labels
- documentation (7)
- enhancement (5)
- bug (4)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 199 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 9
- Total maintainers: 1
pypi.org: pypromice
PROMICE/GC-Net data processing toolbox
- Homepage: https://github.com/GEUS-Glaciology-and-Climate/pypromice
- Documentation: https://pypromice.readthedocs.io
- Licenses: GNU General Public License v2 (GPLv2)
- Latest release: 1.3.5 (published 16 days ago)
- Last Synced: 2024-05-10T09:04:03.672Z (1 day ago)
- Versions: 9
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 199 Last month
-
Rankings:
- Dependent packages count: 7.486%
- Forks count: 17.068%
- Stargazers count: 17.221%
- Average: 31.245%
- Downloads: 44.676%
- Dependent repos count: 69.772%
- Maintainers (2)
Dependencies
- bottleneck *
- netcdf4 *
- numpy *
- pandas *
- scipy *
- toml *
- xarray *
- IQSS/dataverse-uploader v1.3 composite
- datetime *
- eccodes *
- numpy *
- pandas *
- sklearn *
- sphinx_rtd_theme *
- toml *
- xarray *
- actions/checkout v2 composite
- actions/upload-artifact v1 composite
- openjournals/openjournals-draft-action master composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/upload-artifact v3 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite
- pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
Score: 11.900905258737373