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 hugo asynchronous-tasks
Last synced: about 20 hours ago
JSON representation
Repository metadata
Environmental modeling software
- Host: GitHub
- URL: https://github.com/pcraster/pcraster
- Owner: pcraster
- License: gpl-3.0
- Created: 2015-06-30T14:09:52.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2025-11-26T18:53:55.000Z (29 days ago)
- Last Synced: 2025-11-28T06:20:43.756Z (27 days ago)
- Topics: cpp, earth-science, hydrology, modflow, python, simulation, spatio-temporal-modeling
- Language: C++
- Homepage: http://www.pcraster.eu
- Size: 41.8 MB
- Stars: 94
- Watchers: 9
- Forks: 27
- Open Issues: 89
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: COPYING
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.
PCRaster is maintained by the Computational Geography group at Utrecht University in The Netherlands.
Installation
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:
Owner metadata
- Name: PCRaster
- Login: pcraster
- Email: info@pcraster.eu
- Kind: organization
- Description: PCRaster R&D team, Department of Physical Geography, Utrecht University
- Website: http://www.pcraster.eu
- Location: Utrecht, Netherlands
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/10530850?v=4
- Repositories: 5
- Last ynced at: 2023-02-27T18:15:17.315Z
- Profile URL: https://github.com/pcraster
GitHub Events
Total
- Issues event: 22
- Watch event: 6
- Issue comment event: 37
- Push event: 109
- Pull request event: 4
- Fork event: 1
- Create event: 2
Last Year
- Issues event: 16
- Watch event: 5
- Issue comment event: 23
- Push event: 93
- Fork event: 1
- Create event: 2
Committers metadata
Last synced: 8 days ago
Total Commits: 1,352
Total Committers: 6
Avg Commits per committer: 225.333
Development Distribution Score (DDS): 0.153
Commits in past year: 301
Committers in past year: 1
Avg Commits per committer in past year: 301.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Oliver Schmitz | o****z@u****l | 1145 |
| 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:
- uu.nl: 2
- sonic.geo.uu.nl: 1
- norbit.de: 1
- posteo.de: 1
Issue and Pull Request metadata
Last synced: 3 months ago
Total issues: 414
Total pull requests: 9
Average time to close issues: 8 months
Average time to close pull requests: 1 day
Total issue authors: 38
Total pull request authors: 4
Average comments per issue: 0.49
Average comments per pull request: 0.22
Merged pull request: 9
Bot issues: 0
Bot pull requests: 0
Past year issues: 19
Past year pull requests: 4
Past year average time to close issues: about 1 month
Past year average time to close pull requests: about 8 hours
Past year issue authors: 9
Past year pull request authors: 1
Past year average comments per issue: 1.37
Past year average comments per pull request: 0.0
Past year merged pull request: 4
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- OliverSchmitz (293)
- kordejong (70)
- geografin (4)
- nilason (4)
- corentincarton (4)
- ghost (2)
- domeniconappo (2)
- uttu90 (2)
- hernanrr (2)
- edwinkost (2)
- openSourcerer9000 (2)
- beejju (1)
- TLewis87 (1)
- GvdDool (1)
- hajgato (1)
Top Pull Request Authors
- OliverSchmitz (5)
- nilason (2)
- jef-n (1)
- katrinleinweber (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
- Total packages: 2
- Total downloads: unknown
- Total dependent packages: 2 (may contain duplicates)
- Total dependent repositories: 7 (may contain duplicates)
- Total versions: 11
proxy.golang.org: github.com/pcraster/pcraster
- Homepage:
- Documentation: https://pkg.go.dev/github.com/pcraster/pcraster#section-documentation
- Licenses: gpl-3.0
- Latest release: v4.4.2+incompatible (published 7 months ago)
- Last Synced: 2025-12-16T16:05:51.879Z (9 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.395%
- Average: 5.576%
- Dependent repos count: 5.758%
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 about 3 years ago)
- Last Synced: 2025-12-01T10:05:44.729Z (24 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
- docopt ==0.6.2
- numpy *
- pycodestyle *
- sphinx ==1.4.8
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
- actions/checkout v3 composite
- actions/checkout v3 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite
Score: 9.198470199405696