HydroMT
An open-source Python package that facilitates the process of building and analyzing spatial geoscientific models with a focus on water system model.
https://github.com/Deltares/hydromt
Category: Hydrosphere
Sub Category: Freshwater and Hydrology
Keywords
geoscience hydrodynamics hydrology modeling
Keywords from Contributors
hydrological-modelling wflow basins d8 hydrography ldd topography watershed water-resources earth-observation
Last synced: about 19 hours ago
JSON representation
Repository metadata
HydroMT: Automated and reproducible model building and analysis
- Host: GitHub
- URL: https://github.com/Deltares/hydromt
- Owner: Deltares
- License: mit
- Created: 2021-03-15T15:19:01.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2026-08-11T13:03:36.000Z (12 days ago)
- Last Synced: 2026-08-14T08:41:43.695Z (9 days ago)
- Topics: geoscience, hydrodynamics, hydrology, modeling
- Language: Python
- Homepage: https://deltares.github.io/hydromt/
- Size: 306 MB
- Stars: 119
- Watchers: 7
- Forks: 41
- Open Issues: 116
- Releases: 35
-
Metadata Files:
- Readme: README.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Zenodo: .zenodo.json
README.rst
.. _readme:
===============================================================
HydroMT: Automated and reproducible model building and analysis
===============================================================
|pypi| |conda forge| |docs_latest| |docs_stable| |binder| |license| |doi| |joss_paper| |sonarqube_coverage| |sonarqube|
What is HydroMT?
----------------
**HydroMT** (Hydro Model Tools) is an open-source Python package that facilitates the process of
building and analyzing spatial geoscientific models with a focus on water system models.
It does so by automating the workflow to go from raw data to a complete model instance which
is ready to run and to analyse model results once the simulation has finished.
HydroMT builds on the latest packages in the scientific and geospatial python eco-system including
xarray_, rasterio_, rioxarray_, geopandas_, scipy_ and pyflwdir_.
Why HydroMT?
------------
Setting up spatial geoscientific models typically requires many (manual) steps
to process input data and might therefore be time consuming and hard to reproduce.
Especially improving models based on global geospatial datasets, which are
rapidly becoming available at increasingly high resolutions, might be challenging.
Furthermore, analyzing model schematization and results from different models,
which often use model-specific peculiar data formats, can be time consuming.
This package aims to make the model building process **fast**, **modular** and **reproducible**
by configuring the model building process from a single *yaml* configuration file
and **model- and data-agnostic** through a common model and data interface.
How to use HydroMT?
-------------------
HydroMT can be used as a **command line** application (CLI) which provides commands to *build*,
*update* and *clip* models with a single line, or **from Python** to exploit its rich interface.
You can learn more about how to use HydroMT in its `online documentation. `_
For a smooth installing experience, we recommend installing HydroMT and its dependencies
from conda-forge in a clean environment, see `installation guide. `_
HydroMT model plugins
---------------------
HydroMT is commonly used in combination with a **model plugin** which
provides a HydroMT implementation for specific model software. Using the plugins allows to prepare a ready-to-run set of input files from raw geoscientific datasets and analyse model results in a fast and reproducible way.
Known model plugins include:
* hydromt_wflow_: A framework for distributed rainfall-runoff (wflow_sbm) and sediment transport (wflow_sediment) modelling.
* hydromt_delwaq_: A framework for water quality (D-Water Quality) and emissions (D-Emissions) modelling.
* hydromt_sfincs_: A fast 2D hydrodynamic flood model (SFINCS).
* hydromt_fiat_: A flood impact model (FIAT).
* hydromt_delft3dfm_: A flexible mesh hydrodynamic suite for 1D2D and 2D3D modelling (Delft3D FM).
How to cite?
------------
For publications, please cite our JOSS paper |joss_paper|
Eilander et al., (2023). HydroMT: Automated and reproducible model building and analysis. Journal of Open Source Software, 8(83), 4897, https://doi.org/10.21105/joss.04897
To cite a specific software version please use the DOI provided in the Zenodo badge |doi| that points to the latest release.
How to contribute?
-------------------
If you find any issues in the code or documentation feel free to leave an issue on the `github issue tracker. `_
You can find information about how to contribute to the HydroMT project at our `contributing page. `_
HydroMT seeks active contribution from the (hydro) geoscientific community.
So far, it has been developed and tested with a range of `Deltares `_ models, but
we believe it is applicable to a much wider set of geoscientific models and are
happy to discuss how it can be implemented for your model.
Changelog
---------
See the `full changelog `_ for a complete list of changes and release notes.
.. _scipy: https://scipy.org/
.. _xarray: https://xarray.pydata.org
.. _geopandas: https://geopandas.org
.. _rioxarray: https://corteva.github.io/rioxarray/stable/
.. _rasterio: https://rasterio.readthedocs.io
.. _pyflwdir: https://deltares.github.io/pyflwdir
.. _hydromt_wflow: https://deltares.github.io/hydromt_wflow
.. _hydromt_sfincs: https://deltares.github.io/hydromt_sfincs
.. _hydromt_delwaq: https://deltares.github.io/hydromt_delwaq
.. _hydromt_fiat: https://deltares.github.io/hydromt_fiat
.. _hydromt_delft3dfm: https://deltares.github.io/hydromt_delft3dfm
.. |pypi| image:: https://img.shields.io/pypi/v/hydromt.svg?style=flat
:alt: PyPI
:target: https://pypi.org/project/hydromt/
.. |conda forge| image:: https://anaconda.org/conda-forge/hydromt/badges/version.svg
:alt: Conda-Forge
:target: https://anaconda.org/conda-forge/hydromt
.. |sonarqube_coverage| image:: https://sonarcloud.io/api/project_badges/measure?project=Deltares_hydromt&metric=coverage
:alt: Coverage
:target: https://sonarcloud.io/summary/new_code?id=Deltares_hydromt
.. |docs_latest| image:: https://img.shields.io/badge/docs-latest-brightgreen.svg
:alt: Latest developers docs
:target: https://deltares.github.io/hydromt/latest
.. |docs_stable| image:: https://img.shields.io/badge/docs-stable-brightgreen.svg
:target: https://deltares.github.io/hydromt/stable
:alt: Stable docs last release
.. |binder| image:: https://mybinder.org/badge_logo.svg
:alt: Binder
:target: https://mybinder.org/v2/gh/Deltares/hydromt/main?urlpath=lab/tree/examples
.. |doi| image:: https://zenodo.org/badge/348020332.svg
:alt: Zenodo
:target: https://zenodo.org/badge/latestdoi/348020332
.. |license| image:: https://img.shields.io/github/license/Deltares/hydromt?style=flat
:alt: License
:target: https://github.com/Deltares/hydromt/blob/main/LICENSE
.. |joss_paper| image:: https://joss.theoj.org/papers/10.21105/joss.04897/status.svg
:target: https://doi.org/10.21105/joss.04897
.. |sonarqube| image:: https://sonarcloud.io/api/project_badges/measure?project=Deltares_hydromt&metric=alert_status
:target: https://sonarcloud.io/summary/new_code?id=Deltares_hydromt
:alt: SonarQube status
Owner metadata
- Name: Deltares
- Login: Deltares
- Email: oss@deltares.nl
- Kind: organization
- Description: Deltares is an independent institute for applied research in the field of water and subsurface.
- Website: https://www.deltares.nl/en/
- Location: Delft, The Netherlands
- Twitter: deltares
- Company:
- Icon url: https://avatars.githubusercontent.com/u/6613768?v=4
- Repositories: 74
- Last ynced at: 2023-03-03T19:30:55.614Z
- Profile URL: https://github.com/Deltares
GitHub Events
Total
- Create event: 164
- Delete event: 157
- Fork event: 10
- Issue comment event: 312
- Issues event: 139
- Member event: 1
- Pull request event: 252
- Pull request review comment event: 190
- Pull request review event: 214
- Push event: 751
- Release event: 3
- Watch event: 24
Last Year
- Create event: 83
- Delete event: 72
- Fork event: 1
- Issue comment event: 135
- Issues event: 57
- Pull request event: 102
- Pull request review comment event: 120
- Pull request review event: 111
- Push event: 439
- Watch event: 3
Committers metadata
Last synced: 3 days ago
Total Commits: 1,519
Total Committers: 33
Avg Commits per committer: 46.03
Development Distribution Score (DDS): 0.674
Commits in past year: 176
Committers in past year: 13
Avg Commits per committer in past year: 13.538
Development Distribution Score (DDS) in past year: 0.716
| Name | Commits | |
|---|---|---|
| Dirk Eilander | d****r@g****m | 495 |
| Sam Vente | s****3@g****m | 227 |
| hboisgon | h****r@d****l | 184 |
| Brendan | b****t@o****m | 105 |
| Tjalling-dejong | 9****g | 72 |
| Jaap Langemeijer | 3****l | 64 |
| dependabot[bot] | 4****] | 56 |
| LuukBlom | 1****m | 54 |
| Marnix | 1****x | 47 |
| github-actions[bot] | 4****] | 35 |
| Anaïs Couasnon | c****s@g****m | 28 |
| Indra Marth | I****h@d****l | 27 |
| bouaziz | l****z@d****l | 25 |
| dalmijn | 9****n | 19 |
| JoostBuitink | 4****k | 19 |
| alimeshgi | 1****i | 17 |
| Sibren Loos | s****s@d****l | 7 |
| daanrooze | d****e@d****l | 5 |
| Vincent Gao | g****0@g****m | 4 |
| Maarten Pronk | g****t@e****l | 4 |
| GitHub Actions Bot | 3 | |
| Leynse | t****4@g****m | 3 |
| roeldegoede | 8****e | 3 |
| veenstrajelmer | 6****r | 3 |
| Maarten van Ormondt | 8****t | 2 |
| rhutten | 5****n | 2 |
| xiaohan.li-deltares | x****i@d****l | 2 |
| Albrecht Weerts | A****s@d****l | 2 |
| Huite | h****a@g****m | 1 |
| Martijn Visser | m****r@g****m | 1 |
| and 3 more... | ||
Committer domains:
- deltares.nl: 7
- evetion.nl: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 520
Total pull requests: 834
Average time to close issues: 5 months
Average time to close pull requests: 12 days
Total issue authors: 47
Total pull request authors: 29
Average comments per issue: 1.23
Average comments per pull request: 1.05
Merged pull request: 622
Bot issues: 0
Bot pull requests: 135
Past year issues: 41
Past year pull requests: 120
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 8 days
Past year issue authors: 18
Past year pull request authors: 13
Past year average comments per issue: 0.63
Past year average comments per pull request: 0.91
Past year merged pull request: 70
Past year bot issues: 0
Past year bot pull requests: 36
Top Issue Authors
- savente93 (114)
- DirkEilander (85)
- hboisgon (83)
- Jaapel (48)
- Tjalling-dejong (27)
- dalmijn (20)
- alimeshgi (16)
- xldeltares (13)
- roeldegoede (12)
- veenstrajelmer (12)
- deltamarnix (10)
- LuukBlom (8)
- shartgring (7)
- jensdebruijn (6)
- abdulrehman565 (6)
Top Pull Request Authors
- savente93 (231)
- Jaapel (93)
- DirkEilander (87)
- deltamarnix (81)
- dependabot[bot] (73)
- Tjalling-dejong (70)
- github-actions[bot] (61)
- LuukBlom (45)
- hboisgon (26)
- dalmijn (17)
- veenstrajelmer (10)
- roeldegoede (8)
- gaoflow (4)
- B-Dalmijn (3)
- IMarth (3)
Top Issue Labels
- Enhancement (246)
- Needs refinement (240)
- Bug (142)
- V1 (79)
- Documentation (62)
- DataCatalog & DataAdapters (42)
- Model (28)
- Datasets (14)
- RasterDataset (11)
- GIS (10)
- enhancement (9)
- CLI & API (7)
- documentation (6)
- datasets (6)
- GeoDataFrame (5)
- Examples (5)
- GeoDataset (4)
- Spillover (4)
- Blocked (3)
- Workflows (3)
- Model processes (3)
- bug (3)
- Tracking (3)
- Maintenance (2)
- Blocked issue (2)
- Config (2)
- rc-testing (2)
- plugin-request (1)
- priority (1)
- Plugin (1)
Top Pull Request Labels
- Dependencies (69)
- V1 (59)
- github_actions (44)
- Bug (16)
- Documentation (15)
- Enhancement (8)
- dependencies (4)
- Examples (4)
- RasterDataset (4)
- enhancement (4)
- python (3)
- datasets (3)
- DataCatalog & DataAdapters (2)
- GeoDataFrame (2)
- Model (2)
- bug (1)
- Blocked PR (1)
- GeoDataset (1)
Package metadata
- Total packages: 4
-
Total downloads:
- pypi: 3,793 last-month
- Total dependent packages: 8 (may contain duplicates)
- Total dependent repositories: 10 (may contain duplicates)
- Total versions: 112
- Total maintainers: 3
proxy.golang.org: github.com/deltares/hydromt
- Homepage:
- Documentation: https://pkg.go.dev/github.com/deltares/hydromt#section-documentation
- Licenses: mit
- Latest release: v1.4.1 (published 17 days ago)
- Last Synced: 2026-08-21T18:03:03.618Z (2 days ago)
- Versions: 33
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.401%
- Average: 5.583%
- Dependent repos count: 5.764%
proxy.golang.org: github.com/Deltares/hydromt
- Homepage:
- Documentation: https://pkg.go.dev/github.com/Deltares/hydromt#section-documentation
- Licenses: mit
- Latest release: v1.4.1 (published 17 days ago)
- Last Synced: 2026-08-22T10:03:04.633Z (1 day ago)
- Versions: 33
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 5.401%
- Average: 5.583%
- Dependent repos count: 5.764%
pypi.org: hydromt
HydroMT: Automated and reproducible model building and analysis.
- Homepage:
- Documentation: https://deltares.github.io/hydromt
- Licenses: MIT License
- Latest release: 1.4.1 (published 17 days ago)
- Last Synced: 2026-08-22T10:02:43.661Z (1 day ago)
- Versions: 37
- Dependent Packages: 6
- Dependent Repositories: 8
- Downloads: 3,793 Last month
-
Rankings:
- Dependent packages count: 1.4%
- Dependent repos count: 5.156%
- Average: 6.58%
- Downloads: 7.858%
- Forks count: 9.115%
- Stargazers count: 9.371%
- Maintainers (3)
conda-forge.org: hydromt
- Homepage: https://pypi.org/project/hydromt/
- Licenses: MIT
- Latest release: 0.6.0 (published almost 4 years ago)
- Last Synced: 2026-03-23T11:16:53.536Z (5 months ago)
- Versions: 9
- Dependent Packages: 2
- Dependent Repositories: 2
-
Rankings:
- Dependent packages count: 19.607%
- Dependent repos count: 20.27%
- Average: 32.406%
- Stargazers count: 44.743%
- Forks count: 45.002%
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Score: 17.202526861771005