{"id":13948581,"url":"https://github.com/Deltares/hydromt","last_synced_at":"2025-07-20T10:31:11.176Z","repository":{"id":37926503,"uuid":"348020332","full_name":"Deltares/hydromt","owner":"Deltares","description":"HydroMT: Automated and reproducible model building and analysis","archived":false,"fork":false,"pushed_at":"2025-07-11T14:53:51.000Z","size":180590,"stargazers_count":95,"open_issues_count":115,"forks_count":31,"subscribers_count":9,"default_branch":"main","last_synced_at":"2025-07-14T03:03:55.613Z","etag":null,"topics":["geoscience","hydrodynamics","hydrology","modeling"],"latest_commit_sha":null,"homepage":"https://deltares.github.io/hydromt/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Deltares.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":"CONTRIBUTING.rst","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":".zenodo.json"}},"created_at":"2021-03-15T15:19:01.000Z","updated_at":"2025-07-09T12:46:42.000Z","dependencies_parsed_at":"2023-09-22T19:11:47.116Z","dependency_job_id":"7a659747-ea1f-49a9-9fb7-8e7e51f32ba6","html_url":"https://github.com/Deltares/hydromt","commit_stats":{"total_commits":1270,"total_committers":33,"mean_commits":"38.484848484848484","dds":0.610236220472441,"last_synced_commit":"87525ed2f52998af08523f0a7c169f091d8ab58b"},"previous_names":[],"tags_count":24,"template":false,"template_full_name":null,"purl":"pkg:github/Deltares/hydromt","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Deltares%2Fhydromt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Deltares%2Fhydromt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Deltares%2Fhydromt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Deltares%2Fhydromt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Deltares","download_url":"https://codeload.github.com/Deltares/hydromt/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Deltares%2Fhydromt/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265245736,"owners_count":23734098,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["geoscience","hydrodynamics","hydrology","modeling"],"created_at":"2024-08-08T05:01:25.280Z","updated_at":"2025-07-20T10:31:11.168Z","avatar_url":"https://github.com/Deltares.png","language":"Python","funding_links":[],"categories":["Hydrosphere"],"sub_categories":["Freshwater and Hydrology"],"readme":".. _readme:\n\n===============================================================\nHydroMT: Automated and reproducible model building and analysis\n===============================================================\n\n|pypi| |conda forge| |docs_latest| |docs_stable| |binder| |license| |doi| |joss_paper| |sonarqube_coverage| |sonarqube|\n\n\nWhat is HydroMT?\n----------------\n**HydroMT** (Hydro Model Tools) is an open-source Python package that facilitates the process of\nbuilding and analyzing spatial geoscientific models with a focus on water system models.\nIt does so by automating the workflow to go from raw data to a complete model instance which\nis ready to run and to analyse model results once the simulation has finished.\nHydroMT builds on the latest packages in the scientific and geospatial python eco-system including\nxarray_, rasterio_, rioxarray_, geopandas_, scipy_ and pyflwdir_.\n\n\nWhy HydroMT?\n------------\nSetting up spatial geoscientific models typically requires many (manual) steps\nto process input data and might therefore be time consuming and hard to reproduce.\nEspecially improving models based on global geospatial datasets, which are\nrapidly becoming available at increasingly high resolutions, might be challenging.\nFurthermore, analyzing model schematization and results from different models,\nwhich often use model-specific peculiar data formats, can be time consuming.\nThis package aims to make the model building process **fast**, **modular** and **reproducible**\nby configuring the model building process from a single *yaml* configuration file\nand **model- and data-agnostic** through a common model and data interface.\n\n\nHow to use HydroMT?\n-------------------\nHydroMT can be used as a **command line** application (CLI) which provides commands to *build*,\n*update* and *clip* models with a single line, or **from Python** to exploit its rich interface.\nYou can learn more about how to use HydroMT in its `online documentation. \u003chttps://deltares.github.io/hydromt/latest/\u003e`_\nFor a smooth installing experience, we recommend installing HydroMT and its dependencies\nfrom conda-forge in a clean environment, see `installation guide. \u003chttps://deltares.github.io/hydromt/latest/getting_started/installation\u003e`_\n\n\nHydroMT model plugins\n---------------------\nHydroMT is commonly used in combination with a **model plugin** which\nprovides 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.\nKnown model plugins include:\n\n* hydromt_wflow_: A framework for distributed rainfall-runoff (wflow_sbm) and sediment transport (wflow_sediment) modelling.\n* hydromt_delwaq_: A framework for water quality (D-Water Quality) and emissions (D-Emissions) modelling.\n* hydromt_sfincs_: A fast 2D hydrodynamic flood model (SFINCS).\n* hydromt_fiat_: A flood impact model (FIAT).\n* hydromt_delft3dfm_: A flexible mesh hydrodynamic suite for 1D2D and 2D3D modelling (Delft3D FM).\n\n\nHow to cite?\n------------\nFor publications, please cite our JOSS paper |joss_paper|\n\n::\n    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\n\nTo cite a specific software version please use the DOI provided in the Zenodo badge |doi| that points to the latest release.\n\n\nHow to contribute?\n-------------------\nIf you find any issues in the code or documentation feel free to leave an issue on the `github issue tracker. \u003chttps://github.com/Deltares/hydromt/issues\u003e`_\nYou can find information about how to contribute to the HydroMT project at our `contributing page. \u003chttps://deltares.github.io/hydromt/latest/dev/contributing\u003e`_\n\nHydroMT seeks active contribution from the (hydro) geoscientific community.\nSo far, it has been developed and tested with a range of `Deltares \u003chttps://www.deltares.nl/en/\u003e`_ models, but\nwe believe it is applicable to a much wider set of geoscientific models and are\nhappy to discuss how it can be implemented for your model.\n\n\n.. _scipy: https://scipy.org/\n.. _xarray: https://xarray.pydata.org\n.. _geopandas: https://geopandas.org\n.. _rioxarray: https://corteva.github.io/rioxarray/stable/\n.. _rasterio: https://rasterio.readthedocs.io\n.. _pyflwdir: https://deltares.github.io/pyflwdir\n.. _hydromt_wflow: https://deltares.github.io/hydromt_wflow\n.. _hydromt_sfincs: https://deltares.github.io/hydromt_sfincs\n.. _hydromt_delwaq: https://deltares.github.io/hydromt_delwaq\n.. _hydromt_fiat: https://deltares.github.io/hydromt_fiat\n.. _hydromt_delft3dfm: https://deltares.github.io/hydromt_delft3dfm\n\n.. |pypi| image:: https://img.shields.io/pypi/v/hydromt.svg?style=flat\n    :alt: PyPI\n    :target: https://pypi.org/project/hydromt/\n\n.. |conda forge| image:: https://anaconda.org/conda-forge/hydromt/badges/version.svg\n    :alt: Conda-Forge\n    :target: https://anaconda.org/conda-forge/hydromt\n\n.. |sonarqube_coverage| image:: https://sonarcloud.io/api/project_badges/measure?project=Deltares_hydromt\u0026metric=coverage\n    :alt: Coverage\n    :target: https://sonarcloud.io/summary/new_code?id=Deltares_hydromt\n\n.. |docs_latest| image:: https://img.shields.io/badge/docs-latest-brightgreen.svg\n    :alt: Latest developers docs\n    :target: https://deltares.github.io/hydromt/latest\n\n.. |docs_stable| image:: https://img.shields.io/badge/docs-stable-brightgreen.svg\n    :target: https://deltares.github.io/hydromt/stable\n    :alt: Stable docs last release\n\n.. |binder| image:: https://mybinder.org/badge_logo.svg\n    :alt: Binder\n    :target: https://mybinder.org/v2/gh/Deltares/hydromt/main?urlpath=lab/tree/examples\n\n.. |doi| image:: https://zenodo.org/badge/348020332.svg\n    :alt: Zenodo\n    :target: https://zenodo.org/badge/latestdoi/348020332\n\n.. |license| image:: https://img.shields.io/github/license/Deltares/hydromt?style=flat\n    :alt: License\n    :target: https://github.com/Deltares/hydromt/blob/main/LICENSE\n\n.. |joss_paper| image:: https://joss.theoj.org/papers/10.21105/joss.04897/status.svg\n   :target: https://doi.org/10.21105/joss.04897\n\n.. |sonarqube| image:: https://sonarcloud.io/api/project_badges/measure?project=Deltares_hydromt\u0026metric=alert_status\n    :target: https://sonarcloud.io/summary/new_code?id=Deltares_hydromt\n    :alt: SonarQube status\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDeltares%2Fhydromt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FDeltares%2Fhydromt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FDeltares%2Fhydromt/lists"}