list.json

{
    "CMF": {
        "description": "Catchment Modelling Framework, a hydrologic modelling toolbox.",
        "url": "https://github.com/philippkraft/cmf",
        "category": "Catchment Hydrology",
        "docs": "https://philippkraft.github.io/cmf/",
        "CI": 0,
        "last_update": "2024-12-05T14:04:49",
        "pypi": "https://pypi.org/project/CMF/",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.1016/j.envsoft.2010.12.009",
        "conda": "",
        "version": "2.0.1",
        "legacy": ""
    },
    "VIC": {
        "description": "The Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model.",
        "url": "https://github.com/UW-Hydro/VIC",
        "category": "Catchment Hydrology",
        "docs": "http://vic.readthedocs.io",
        "CI": 0,
        "last_update": "2016-06-18T22:49:24",
        "pypi": "https://pypi.org/project/VIC/",
        "doi_software": "https://zenodo.org/doi/10.5281/zenodo.593392",
        "doi_paper": "http://dx.doi.org/10.1029/94jd00483",
        "conda": "https://anaconda.org/conda-forge/VIC",
        "version": "0.0.1",
        "legacy": ""
    },
    "Xanthos": {
        "description": "Xanthos is an open-source hydrologic model, written in Python, designed to quantify and analyze global water availability.",
        "url": "https://github.com/JGCRI/xanthos",
        "category": "Catchment Hydrology",
        "docs": "",
        "CI": 0,
        "last_update": "2021-08-10T20:55:25",
        "pypi": "https://pypi.org/project/Xanthos/",
        "doi_software": "https://zenodo.org/badge/latestdoi/88797535",
        "doi_paper": "",
        "conda": "",
        "version": "2.4.1",
        "legacy": ""
    },
    "wrfhydropy": {
        "description": "wrfhydrpy is a Python API for the WRF-Hydro modelling system.",
        "url": "https://github.com/NCAR/wrf_hydro_py",
        "category": "Catchment Hydrology",
        "docs": "https://wrfhydropy.readthedocs.io/",
        "CI": 0,
        "last_update": "2024-02-16T21:26:27",
        "pypi": "https://pypi.org/project/wrfhydropy/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.0.21",
        "legacy": ""
    },
    "EXP-HYDRO": {
        "description": "EXP-HYDRO is a catchment scale hydrological model that operates at a daily time-step. It takes as inputs the daily values of precipitation, air temperature, and potential evapotranspiration, and simulates daily streamflow at the catchment outlet.",
        "url": "https://github.com/sopanpatil/exp-hydro",
        "category": "Catchment Hydrology",
        "docs": "https://sopanpatil.github.io/exp-hydro/",
        "CI": 0,
        "last_update": "",
        "pypi": "",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.1002/hyp.11199",
        "conda": "",
        "version": "",
        "legacy": 1
    },
    "RRMPG": {
        "description": "Rainfall-Runoff modelling playground.",
        "url": "https://github.com/kratzert/RRMPG",
        "category": "Catchment Hydrology",
        "docs": "http://rrmpg.readthedocs.io/en/latest/index.html",
        "CI": 0,
        "last_update": "",
        "pypi": "",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "",
        "legacy": 1
    },
    "LHMP": {
        "description": "Lumped Hydrological Models Playground.",
        "url": "https://github.com/hydrogo/LHMP",
        "category": "Catchment Hydrology",
        "docs": "",
        "CI": 0,
        "last_update": "",
        "pypi": "",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "",
        "legacy": 1
    },
    "SMARTPy": {
        "description": "Python implementation of the rainfall-runoff model SMART",
        "url": "https://github.com/ThibHlln/smartpy",
        "category": "Catchment Hydrology",
        "docs": "https://thibhlln.github.io/smartpy",
        "CI": 0,
        "last_update": "2022-02-14T16:18:21",
        "pypi": "https://pypi.org/project/SMARTPy/",
        "doi_software": "https://zenodo.org/badge/latestdoi/118467753",
        "doi_paper": "",
        "conda": "",
        "version": "0.2.2",
        "legacy": ""
    },
    "PyStream": {
        "description": "Python implementation of the STREAM hydrological rainfall-runoff model.",
        "url": "https://github.com/martibosch/pystream",
        "category": "Catchment Hydrology",
        "docs": "",
        "CI": 0,
        "last_update": "2015-06-18T14:58:50",
        "pypi": "https://pypi.org/project/PyStream/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.1",
        "legacy": 1
    },
    "HydPy": {
        "description": "A framework for the development and application of hydrological models based on Python.",
        "url": "https://github.com/hydpy-dev/hydpy",
        "category": "Catchment Hydrology",
        "docs": "https://hydpy-dev.github.io/hydpy",
        "CI": 1,
        "last_update": "2025-02-27T07:06:38",
        "pypi": "https://pypi.org/project/HydPy/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "6.1.3",
        "legacy": ""
    },
    "Catchmod": {
        "description": "CATCHMOD is widely used rainfall runoff model in the United Kingdom. It was introduced by Wilby (1994).",
        "url": "https://pypi.org/project/pycatchmod/",
        "category": "Catchment Hydrology",
        "docs": "",
        "CI": 0,
        "last_update": "2019-01-08T20:58:42",
        "pypi": "https://pypi.org/project/pycatchmod/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "1.1.0",
        "legacy": 1
    },
    "wflow": {
        "description": "wflow consists of a set of Python programs that can be run on the command line and perform hydrological simulations. The models are based on the PCRaster Python framework",
        "url": "https://github.com/openstreams/wflow",
        "category": "Catchment Hydrology",
        "docs": "https://wflow.readthedocs.io",
        "CI": 0,
        "last_update": "2020-11-26T09:32:03",
        "pypi": "https://pypi.org/project/wflow/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "https://anaconda.org/conda-forge/wflow",
        "version": "2020.1.2",
        "legacy": 1
    },
    "PyTOPKAPI": {
        "description": "PyTOPKAPI is a BSD licensed Python library implementing the TOPKAPI Hydrological model (Liu and Todini, 2002).",
        "url": "https://github.com/sahg/PyTOPKAPI",
        "category": "Catchment Hydrology",
        "docs": "http://sahg.github.io/PyTOPKAPI/",
        "CI": 0,
        "last_update": "",
        "pypi": "https://pypi.org/project/PyTOPKAPI/",
        "doi_software": "https://zenodo.org/badge/latestdoi/689231",
        "doi_paper": "http://dx.doi.org/10.5194/hess-14-613-2010",
        "conda": "",
        "version": "",
        "legacy": "1"
    },
    "mhmpy": {
        "description": "A Python-API for the mesoscale Hydrological Model.",
        "url": "https://github.com/MuellerSeb/mhmpy",
        "category": "Catchment Hydrology",
        "docs": "",
        "CI": 0,
        "last_update": "2019-08-26T13:08:06",
        "pypi": "https://pypi.org/project/mhmpy/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.0.0",
        "legacy": 1
    },
    "SuperflexPy": {
        "description": "SuperflexPy: A new open source framework for building conceptual hydrological models",
        "url": "https://github.com/dalmo1991/superflexPy",
        "category": "Catchment Hydrology",
        "docs": "https://superflexpy.readthedocs.io",
        "CI": 0,
        "last_update": "2023-11-25T09:33:47",
        "pypi": "https://pypi.org/project/SuperflexPy/",
        "doi_software": "https://zenodo.org/badge/latestdoi/208847505",
        "doi_paper": "https://doi.org/10.5194/gmd-14-7047-2021",
        "conda": "",
        "version": "1.3.2",
        "legacy": ""
    },
    "NeuralHydrology": {
        "description": "Python library to train neural networks with a strong focus on hydrological applications.",
        "url": "https://github.com/neuralhydrology/neuralhydrology",
        "category": "Catchment Hydrology",
        "docs": "https://neuralhydrology.readthedocs.io/",
        "CI": 1,
        "last_update": "2024-08-02T13:13:35",
        "pypi": "https://pypi.org/project/NeuralHydrology/",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.21105/joss.04050",
        "conda": "",
        "version": "1.11.0",
        "legacy": 0
    },
    "DRYP": {
        "description": "Dryland Water Partition model.",
        "url": "https://github.com/AndresQuichimbo/DRYP",
        "category": "Catchment Hydrology",
        "docs": "",
        "CI": 0,
        "last_update": "",
        "pypi": "",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "",
        "legacy": 1
    },
    "LuKars": {
        "description": "The LuKARS model is a lumped karst hydrological model to perform studies in karstic environments.",
        "url": "https://github.com/dbittner87/LuKARS",
        "category": "Catchment Hydrology",
        "docs": "",
        "CI": 0,
        "last_update": "",
        "pypi": "",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "",
        "legacy": 1
    },
    "Gravi4GW": {
        "description": "A tool for conversion between \u0394g and groundwater storage changes.",
        "url": "https://github.com/lhalloran/Gravi4GW",
        "category": "Groundwater",
        "docs": "",
        "CI": 0,
        "last_update": "",
        "pypi": "",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.1016/j.envsoft.2022.105340",
        "conda": "",
        "version": "",
        "legacy": 0
    },
    "SUMMA": {
        "description": "A hydrologic modeling framework that can be used for the systematic analysis of alternative model conceptualizations with respect to flux parameterizations, spatial configurations, and numerical solution techniques.",
        "url": "https://github.com/CH-Earth/summa",
        "category": "Catchment Hydrology",
        "docs": "http://summa.readthedocs.io/",
        "CI": 0,
        "last_update": "2019-01-16T22:12:13",
        "pypi": "https://pypi.org/project/SUMMA/",
        "doi_software": "https://doi.org/10.5281/zenodo.800772",
        "doi_paper": "http://dx.doi.org/10.1002/2015WR017198",
        "conda": "https://anaconda.org/conda-forge/SUMMA",
        "version": "1.2.0",
        "legacy": ""
    },
    "MetPy": {
        "description": "MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.",
        "url": "https://github.com/Unidata/MetPy",
        "category": "Meteorological tools",
        "docs": "https://unidata.github.io/MetPy/",
        "CI": 1,
        "last_update": "2024-08-26T23:14:35",
        "pypi": "https://pypi.org/project/MetPy/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "https://anaconda.org/conda-forge/MetPy",
        "version": "1.6.3",
        "legacy": 0
    },
    "PyEto": {
        "description": "PyETo is a Python library for calculating reference crop evapotranspiration (ETo), sometimes referred to as potential evapotranspiration (PET). The library provides numerous functions for estimating missing meteorological data.",
        "url": "https://github.com/woodcrafty/PyETo",
        "category": "Meteorological tools",
        "docs": "https://pyeto.readthedocs.io",
        "CI": 0,
        "last_update": "",
        "pypi": "",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "",
        "legacy": 1
    },
    "pyfao56": {
        "description": "A Python implementation of the FAO-56 dual crop coefficient approach for crop water use estimation and irrigation scheduling.",
        "url": "https://github.com/kthorp/pyfao56",
        "category": "Meteorological tools",
        "docs": "",
        "CI": 0,
        "last_update": "2025-02-10T23:01:41",
        "pypi": "https://pypi.org/project/pyfao56/",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.1016/j.softx.2023.101518",
        "conda": "https://anaconda.org/conda-forge/pyfao56",
        "version": "1.4.0",
        "legacy": ""
    },
    "Improver": {
        "description": "IMPROVER is a library of algorithms for meteorological post-processing and verification.",
        "url": "https://github.com/metoppv/improver",
        "category": "Meteorological tools",
        "docs": "http://improver.readthedocs.io/en/latest/",
        "CI": 1,
        "last_update": "",
        "pypi": "",
        "doi_software": "https://zenodo.org/badge/latestdoi/85334761",
        "doi_paper": "",
        "conda": "https://anaconda.org/conda-forge/Improver",
        "version": "1.11.0",
        "legacy": ""
    },
    "MetSim": {
        "description": "MetSim is a meteorological simulator and forcing disaggregator for hydrologic modeling and climate applications.",
        "url": "https://github.com/UW-Hydro/MetSim",
        "category": "Meteorological tools",
        "docs": "http://metsim.readthedocs.io/",
        "CI": 0,
        "last_update": "2023-11-06T17:18:08",
        "pypi": "https://pypi.org/project/MetSim/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "https://anaconda.org/conda-forge/MetSim",
        "version": "2.4.4",
        "legacy": ""
    },
    "MELODIST": {
        "description": "MELODIST is an open-source toolbox written in Python for disaggregating daily meteorological time series to hourly time steps.",
        "url": "https://github.com/kristianfoerster/melodist",
        "category": "Meteorological tools",
        "docs": "",
        "CI": 1,
        "last_update": "2024-06-07T10:10:16",
        "pypi": "https://pypi.org/project/MELODIST/",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.5194/gmd-9-2315-2016",
        "conda": "",
        "version": "0.1.6",
        "legacy": ""
    },
    "PySteps": {
        "description": "pySTEPS is a community-driven initiative for developing and maintaining an easy to use, modular, free and open source Python framework for short-term ensemble prediction systems.",
        "url": "https://github.com/pySTEPS/pysteps",
        "category": "Meteorological tools",
        "docs": "https://pysteps.readthedocs.io/en/stable/",
        "CI": 1,
        "last_update": "2025-03-03T15:49:30",
        "pypi": "https://pypi.org/project/PySteps/",
        "doi_software": "https://zenodo.org/badge/latestdoi/140263418",
        "doi_paper": "https://doi.org/10.5194/gmd-12-4185-2019",
        "conda": "https://anaconda.org/conda-forge/PySteps",
        "version": "1.15.0",
        "legacy": 0
    },
    "Evaporation": {
        "description": "Calculation of evaporation and transpiration.",
        "url": "https://github.com/openmeteo/evaporation",
        "category": "Meteorological tools",
        "docs": "https://evaporation.readthedocs.io",
        "CI": 0,
        "last_update": "2024-04-16T20:38:43",
        "pypi": "https://pypi.org/project/Evaporation/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "2.0.1",
        "legacy": ""
    },
    "pyet": {
        "description": "A python-package for calculating reference and potential evaporation.",
        "url": "https://github.com/phydrus/pyet",
        "category": "Meteorological tools",
        "docs": "https://pyet.readthedocs.io/",
        "CI": 1,
        "last_update": "2024-03-15T14:50:40",
        "pypi": "https://pypi.org/project/pyet/",
        "doi_software": "https://zenodo.org/doi/10.5281/zenodo.5896799",
        "doi_paper": "https://doi.org/10.5194/gmd-17-7083-2024",
        "conda": "https://anaconda.org/conda-forge/pyet",
        "version": "1.3.1",
        "legacy": 0
    },
    "SPEI": {
        "description": "Calculate and visualize some popular drought indices such as the SPI, SPEI and SGI.",
        "url": "https://github.com/martinvonk/SPEI",
        "category": "Meteorological tools",
        "docs": "",
        "CI": 0,
        "last_update": "2025-02-20T10:13:07",
        "pypi": "https://pypi.org/project/SPEI/",
        "doi_software": "https://doi.org/10.5281/zenodo.10816741",
        "doi_paper": "",
        "conda": "",
        "version": "0.6.1",
        "legacy": ""
    },
    "Pytesmo": {
        "description": "python Toolbox for the Evaluation of Soil Moisture Observations.",
        "url": "https://github.com/TUW-GEO/pytesmo",
        "category": "Unsaturated Zone",
        "docs": "https://pytesmo.readthedocs.io",
        "CI": 0,
        "last_update": "2025-03-05T15:59:08",
        "pypi": "https://pypi.org/project/Pytesmo/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.18.0",
        "legacy": ""
    },
    "Phydrus": {
        "description": "Python implementation of the HYDRUS-1D unsaturated zone model",
        "url": "https://github.com/phydrus/phydrus",
        "category": "Unsaturated Zone",
        "docs": "https://phydrus.readthedocs.io/",
        "CI": 0,
        "last_update": "2021-03-30T16:46:37",
        "pypi": "https://pypi.org/project/Phydrus/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.2.0",
        "legacy": ""
    },
    "VS2DPY": {
        "description": "Python implementation of the VS2D unsaturated zone model.",
        "url": "https://github.com/martinvonk/VS2DPY",
        "category": "Unsaturated Zone",
        "docs": "",
        "CI": 0,
        "last_update": "2022-12-07T13:17:27",
        "pypi": "https://pypi.org/project/VS2DPY/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.3.0",
        "legacy": ""
    },
    "pedon": {
        "description": "Python package for (unsaturated) soil properties including pedotransfer functions.",
        "url": "https://github.com/martinvonk/pedon",
        "category": "Unsaturated Zone",
        "docs": "",
        "CI": 0,
        "last_update": "2024-12-17T10:10:49",
        "pypi": "https://pypi.org/project/pedon/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.0.7",
        "legacy": ""
    },
    "FloPy": {
        "description": "The Python interface to MODFLOW.",
        "url": "https://github.com/modflowpy/flopy",
        "category": "Groundwater",
        "docs": "https://flopy.readthedocs.io",
        "CI": 1,
        "last_update": "2025-02-11T01:38:00",
        "pypi": "https://pypi.org/project/FloPy/",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.1111/gwat.12413",
        "conda": "https://anaconda.org/conda-forge/FloPy",
        "version": "3.9.2",
        "legacy": 0
    },
    "imod-python": {
        "description": "Make massive MODFLOW models.",
        "url": "https://github.com/Deltares/imod-python",
        "category": "Groundwater",
        "docs": "https://deltares.github.io/imod-python/",
        "CI": 1,
        "last_update": "2024-11-20T12:13:07",
        "pypi": "https://pypi.org/project/imod/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.18.1",
        "legacy": ""
    },
    "WellApplication": {
        "description": "Set of tools for groundwater level and water chemistry analysis.",
        "url": "https://github.com/utah-geological-survey/WellApplication",
        "category": "Groundwater",
        "docs": "",
        "CI": 0,
        "last_update": "2018-05-30T18:20:35",
        "pypi": "https://pypi.org/project/WellApplication/",
        "doi_software": "https://zenodo.org/badge/latestdoi/48931715",
        "doi_paper": "",
        "conda": "https://anaconda.org/conda-forge/WellApplication",
        "version": "0.5.6",
        "legacy": 0
    },
    "TimML": {
        "description": "A Multi-Layer, Analytic Element Model.",
        "url": "https://github.com/mbakker7/timml",
        "category": "Groundwater",
        "docs": "https://timml.readthedocs.io/",
        "CI": 1,
        "last_update": "2024-12-20T12:43:14",
        "pypi": "https://pypi.org/project/TIMML/",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.1016/j.advwatres.2005.11.005",
        "conda": "https://anaconda.org/conda-forge/TIMML",
        "version": "6.6.0",
        "legacy": 0
    },
    "TTim": {
        "description": "A Multi-Layer, Transient, Analytic Element Model.",
        "url": "https://github.com/mbakker7/ttim",
        "category": "Groundwater",
        "docs": "https://ttim.readthedocs.io",
        "CI": 1,
        "last_update": "2024-12-20T12:51:25",
        "pypi": "https://pypi.org/project/TTim/",
        "doi_software": "",
        "doi_paper": "https://doi.org/10.1007/s10040-013-0975-2",
        "conda": "https://anaconda.org/conda-forge/TTim",
        "version": "0.7.0",
        "legacy": 0
    },
    "PyHELP": {
        "description": "A Python library for the assessment of spatially distributed groundwater recharge and hydrological components with HELP.",
        "url": "https://github.com/cgq-qgc/pyhelp",
        "category": "Groundwater",
        "docs": "http://pyhelp.readthedocs.io",
        "CI": 0,
        "last_update": "2022-06-20T14:07:01",
        "pypi": "https://pypi.org/project/PyHELP/",
        "doi_software": "",
        "doi_paper": "",
        "conda": "",
        "version": "0.4.0",
        "legacy": 0
    },
    "Anaflow": {
        "description": "A python-package containing analytical solutions for the groundwater flow equation",
        "url": "https://github.com/GeoStat-Framework/AnaFlow",
        "category": "Groundwater",
        "docs": "https://anaflow.readthedocs.io",
        "CI": 1,
        "last_update": "2023-04-16T11:47:20",
        "pypi": "https://pypi.org/project/Anaflow/",
        "doi_software": "https://doi.org/10.5281/zenodo.1135723",
        "doi_paper": "",
        "conda": "https://anaconda.org/conda-forge/Anaflow",
        "version": "1.1.0",
        "legacy": 0
    },
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        "description": "A python-package for handling well based field campaigns.",
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