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dfm-tools

A Python package for pre- and postprocessing D-Flow FM model input and output files

https://github.com/deltares/dfm_tools

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (14.1%) to scientific vocabulary
Last synced: 7 months ago · JSON representation

Repository

A Python package for pre- and postprocessing D-Flow FM model input and output files

Basic Info
Statistics
  • Stars: 80
  • Watchers: 11
  • Forks: 17
  • Open Issues: 66
  • Releases: 30
Created about 6 years ago · Last pushed 7 months ago
Metadata Files
Readme Contributing License Citation

README.md

pytest codecov Quality Gate Status Binder Available on pypi Supported versions Downloads DOI

dfm_tools

A Python package for pre- and postprocessing D-FlowFM model input and output files. Contains convenience functions built on top of other packages like xarray, xugrid, hydrolib-core and many more.

Information

  • install with pip install dfm_tools -U (or installation guide)
  • online documentation with installation guide, tutorials/examples, API reference and contributing guide.
  • Bug or feature request? Create a GitHub issue
  • dfmtools is updated regularly to keep up with all developments in packages it depends on, so make sure to update regularly. You can subscribe to dfmtools updates via the "Watch" button of this repository (tip: only tick "Releases" to avoid spam)

Owner

  • Name: Deltares
  • Login: Deltares
  • Kind: organization
  • Email: oss@deltares.nl
  • Location: Delft, The Netherlands

Deltares is an independent institute for applied research in the field of water and subsurface.

GitHub Events

Total
  • Create event: 97
  • Release event: 8
  • Issues event: 221
  • Watch event: 11
  • Delete event: 86
  • Member event: 3
  • Issue comment event: 333
  • Push event: 423
  • Pull request review comment event: 16
  • Pull request review event: 15
  • Pull request event: 173
  • Fork event: 6
Last Year
  • Create event: 97
  • Release event: 8
  • Issues event: 221
  • Watch event: 11
  • Delete event: 86
  • Member event: 3
  • Issue comment event: 333
  • Push event: 423
  • Pull request review comment event: 16
  • Pull request review event: 15
  • Pull request event: 173
  • Fork event: 6

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 2,948
  • Total Committers: 11
  • Avg Commits per committer: 268.0
  • Development Distribution Score (DDS): 0.011
Past Year
  • Commits: 222
  • Committers: 4
  • Avg Commits per committer: 55.5
  • Development Distribution Score (DDS): 0.014
Top Committers
Name Email Commits
veenstrajelmer v****r@g****m 2,916
Julien Groenenboom J****m@d****l 10
Tammo-Zijlker-Deltares 1****s 6
lbuckma l****n@g****m 5
unknown w****n@g****m 4
Anna Van Gils v****a@g****m 2
CindyvdVries c****s@g****m 1
Felix-Deltares 1****s 1
Natalia Aleksandrova 1****a 1
lbuckma L****n@d****l 1
veenstrajelmer r****r@f****t 1
Committer Domains (Top 20 + Academic)
deltares.nl: 2 fv-az792-380.qpnths0enx1epcatlqirqpfhgb.phxx.internal.cloudapp.net: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 541
  • Total pull requests: 484
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 4 days
  • Total issue authors: 25
  • Total pull request authors: 8
  • Average comments per issue: 0.36
  • Average comments per pull request: 0.98
  • Merged pull requests: 455
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 146
  • Pull requests: 188
  • Average time to close issues: 10 days
  • Average time to close pull requests: 1 day
  • Issue authors: 11
  • Pull request authors: 6
  • Average comments per issue: 0.36
  • Average comments per pull request: 0.96
  • Merged pull requests: 176
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • veenstrajelmer (495)
  • SCLaan (9)
  • n-aleksandrova (4)
  • Tammo-Zijlker-Deltares (3)
  • dvertegaal (3)
  • JulienGroenenboom (3)
  • thopri (3)
  • lasolera (2)
  • ahmad-el-sayed (1)
  • Huite (1)
  • Julien-Groenenboom (1)
  • dramauh (1)
  • nyanyaleam (1)
  • RHoeg (1)
  • boelsmasander (1)
Pull Request Authors
  • veenstrajelmer (525)
  • lorincmeszaros (4)
  • JulienGroenenboom (3)
  • mgeraeds (2)
  • Felix-Deltares (2)
  • n-aleksandrova (2)
  • Haoyu-Gao (1)
  • Tammo-Zijlker-Deltares (1)
Top Labels
Issue Labels
quickfix (12) wait (10) enhancement (5) bug (3) wontfix (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 607 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 31
  • Total maintainers: 4
pypi.org: dfm-tools

dfm_tools are pre- and post-processing tools for Delft3D FM

  • Versions: 31
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 607 Last month
Rankings
Dependent packages count: 7.1%
Stargazers count: 12.3%
Forks count: 12.7%
Average: 16.2%
Dependent repos count: 32.7%
Maintainers (4)
priscavdsluis veenstrajelmer arthurvd mydeltares
Last synced: 7 months ago

Dependencies

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.github/workflows/pytest.yml actions
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pyproject.toml pypi
  • bottleneck >=1.3.3
  • cdsapi >=0.6.1
  • contextily >=1.0.0
  • copernicus-marine-client >=0.10.0
  • dask >=2022.1.0
  • erddapy >=2.0.0
  • fiona >=1.9
  • geopandas >=0.13.0
  • hydrolib-core >=0.6.0
  • matplotlib >=3.7.0
  • meshkernel >=3.0.0
  • netcdf4 >=1.5.4
  • numpy >=1.22
  • pandas >=1.4.0
  • pooch >=1.1.0
  • pydap >=3.4.0
  • scipy >=1.6.0
  • shapely >=2.0.0
  • xarray >=2023.4.0
  • xugrid >=0.8.0
.github/workflows/mkdocs-gh-deploy.yml actions
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.github/workflows/pypi-upload.yml actions
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