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Open Sustainable Technology

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PCRaster

A collection of tools and software libraries tailored to the construction of spatio-temporal environmental models.
https://github.com/pcraster/pcraster

Category: Natural Resources
Sub Category: Water Supply and Quality

Keywords

cpp earth-science hydrology modflow python simulation spatio-temporal-modeling

Keywords from Contributors

parallel-computing earth-observation hugo geospatial-data asynchronous-tasks

Last synced: about 13 hours ago
JSON representation

Repository metadata

Environmental modeling software

README.md

PCRaster

Environmental modelling software

PCRaster is a collection of tools and software libraries tailored to the construction of spatio-temporal environmental models. Application domains are amongst others hydrology (rainfall-runoff, global water balance, groundwater (with Modflow)), ecology, or land use change. Two scripting languages (Python and PCRcalc) include a rich set of spatial operations for manipulating and analysing raster maps. A Python framework supports Monte Carlo simulations and data assimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio-temporal data.

You can find more information about our research and development projects on our website. Information on PCRaster is given at the project website, and online documentation can be found here. For questions regarding the usage of PCRaster please use our mailing list, bugs can be reported via our issue tracker.

Installation

Conda Version
Conda Platforms
Conda Downloads

Packages are available for Linux, macOS and Windows via conda-forge.
Install PCRaster e.g. with:

conda install -c conda-forge pcraster

More information on the installation of PCRaster is given in the documentation.

Build status

CI builds of our current development version:

Linux build status
macOS build status
Linux Conda status
Windows build status

Owner metadata

GitHub Events

Total
Last Year

Committers metadata

Last synced: 4 days ago

Total Commits: 1,105
Total Committers: 6
Avg Commits per committer: 184.167
Development Distribution Score (DDS): 0.187

Commits in past year: 123
Committers in past year: 1
Avg Commits per committer in past year: 123.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Oliver Schmitz o****z@u****l 898
Kor de Jong k****1@u****l 203
Nicklas Larsson n****n@y****m 1
Katrin Leinweber k****i@p****e 1
Jürgen Fischer j****f@n****e 1
Oliver Schmitz s****9@s****l 1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 415
Total pull requests: 6
Average time to close issues: 8 months
Average time to close pull requests: 1 day
Total issue authors: 37
Total pull request authors: 4
Average comments per issue: 0.5
Average comments per pull request: 0.33
Merged pull request: 6
Bot issues: 0
Bot pull requests: 0

Past year issues: 21
Past year pull requests: 2
Past year average time to close issues: 8 days
Past year average time to close pull requests: about 8 hours
Past year issue authors: 7
Past year pull request authors: 1
Past year average comments per issue: 1.43
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/pcraster/pcraster

Top Issue Authors

  • OliverSchmitz (293)
  • kordejong (71)
  • geografin (4)
  • corentincarton (4)
  • nilason (4)
  • hernanrr (3)
  • ghost (2)
  • openSourcerer9000 (2)
  • edwinkost (2)
  • domeniconappo (2)
  • uttu90 (2)
  • chris-english (1)
  • BenjaminFTurner (1)
  • samtux (1)
  • hajgato (1)

Top Pull Request Authors

  • OliverSchmitz (3)
  • jef-n (1)
  • katrinleinweber (1)
  • nilason (1)

Top Issue Labels

  • build (63)
  • refactoring (51)
  • bug (40)
  • enhancement (31)
  • modflow (21)
  • port (13)
  • documentation (8)
  • windows (4)
  • gdal (3)
  • in progress (2)
  • multicore (2)
  • wontfix (1)
  • help wanted (1)

Top Pull Request Labels

Package metadata

conda-forge.org: pcraster

PCRaster is a collection of tools and software libraries tailored to the construction of spatio-temporal environmental models. Application domains are amongst others hydrology (rainfall-runoff, global water balance, groundwater (with Modflow)), ecology, or land use change. PCRaster includes a rich set of spatial operations for manipulating and analysing raster maps. A Python framework supports Monte Carlo simulations and data assimilation (Ensemble Kalman Filter and Particle Filter). The Aguila tool allows for the interactive visualisation of stochastic spatio- temporal data.

  • Homepage: http://www.pcraster.eu
  • Licenses: GPL-3.0-only
  • Latest release: 4.4.0 (published over 2 years ago)
  • Last Synced: 2025-04-01T02:12:08.111Z (26 days ago)
  • Versions: 5
  • Dependent Packages: 2
  • Dependent Repositories: 7
  • Rankings:
    • Dependent repos count: 12.838%
    • Dependent packages count: 19.581%
    • Average: 26.469%
    • Stargazers count: 35.578%
    • Forks count: 37.879%

Dependencies

environment/configuration/requirements.txt pypi
  • docopt ==0.6.2
  • numpy *
  • pycodestyle *
  • sphinx ==1.4.8
.github/workflows/linux-conda.yaml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
.github/workflows/linux.yaml actions
  • actions/checkout v3 composite
.github/workflows/macos.yaml actions
  • actions/checkout v3 composite
.github/workflows/windows.yaml actions
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
source/pcraster_model_engine/csharp/PCRasterDotNetApi.csproj nuget

Score: 9.17636985240503