{"id":13948608,"url":"https://github.com/passaH2O/dorado","last_synced_at":"2025-07-20T10:31:17.237Z","repository":{"id":38299332,"uuid":"283328553","full_name":"passaH2O/dorado","owner":"passaH2O","description":"For shallow-water Lagrangian particle routing.","archived":false,"fork":false,"pushed_at":"2023-06-20T22:43:07.000Z","size":89069,"stargazers_count":49,"open_issues_count":4,"forks_count":7,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-06-11T17:12:40.234Z","etag":null,"topics":["hydrodynamic-modeling","lagrangian","numerical-modeling","numerical-modelling","particle","particle-routing","particle-tracing","particle-tracking","particle-transport","particles","passive-tracers","random-walk","rivers","simulator","tracer"],"latest_commit_sha":null,"homepage":"https://passah2o.github.io/dorado","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/passaH2O.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2020-07-28T21:09:07.000Z","updated_at":"2024-05-03T11:03:01.000Z","dependencies_parsed_at":"2023-09-21T20:04:30.838Z","dependency_job_id":null,"html_url":"https://github.com/passaH2O/dorado","commit_stats":{"total_commits":309,"total_committers":5,"mean_commits":61.8,"dds":0.2977346278317152,"last_synced_commit":"8c90ac9043f9932a6e07559a7d6180d3b66bb652"},"previous_names":[],"tags_count":15,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/passaH2O%2Fdorado","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/passaH2O%2Fdorado/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/passaH2O%2Fdorado/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/passaH2O%2Fdorado/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/passaH2O","download_url":"https://codeload.github.com/passaH2O/dorado/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226455441,"owners_count":17627876,"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":["hydrodynamic-modeling","lagrangian","numerical-modeling","numerical-modelling","particle","particle-routing","particle-tracing","particle-tracking","particle-transport","particles","passive-tracers","random-walk","rivers","simulator","tracer"],"created_at":"2024-08-08T05:01:26.030Z","updated_at":"2025-07-20T10:31:17.220Z","avatar_url":"https://github.com/passaH2O.png","language":"Python","funding_links":[],"categories":["Hydrosphere"],"sub_categories":["Waves and Currents"],"readme":"# dorado - Lagrangian particle routing\n![build](https://github.com/passaH2O/dorado/workflows/build/badge.svg)\n[![codecov](https://codecov.io/gh/passaH2O/dorado/branch/master/graph/badge.svg?token=A4MWN4K1XJ)](https://codecov.io/gh/passaH2O/dorado)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pydorado)\n[![PyPI version](https://badge.fury.io/py/pydorado.svg)](https://badge.fury.io/py/pydorado)\n[![status](https://joss.theoj.org/papers/f1f61292f998588ae06bb1cd14dd4063/status.svg)](https://joss.theoj.org/papers/f1f61292f998588ae06bb1cd14dd4063)\n\u003cdiv class=\"nav3\" style=\"height:705px;\"\u003e\n    \u003cimg src=\"docs/source/examples/images/logo.gif\" alt=\"Particle routing on Lidar-derived bathymetry\" width=\"65%\"\u003e\u003c/a\u003e\n\u003c/div\u003e\n\ndorado is a Python package for simulating passive Lagrangian particle transport over flow-fields from any 2D shallow-water hydrodynamic model using a weighted random walk methodology.\n\nFor user guides and detailed examples, refer to the [documentation](https://passah2o.github.io/dorado/index.html).\n\n### Example Uses:\n\n### Particles on an Unsteady ANUGA Flow Field of the Wax Lake Delta\n\u003cdiv class=\"nav3\" style=\"height:705px;\"\u003e\n    \u003cimg src=\"docs/source/examples/images/waxlake.gif\" alt=\"Example\" width=\"75%\"\u003e\u003c/a\u003e\n\u003c/div\u003e\n\n### Particles on a DeltaRCM Simulated Delta\n\u003cdiv class=\"nav3\" style=\"height:705px;\"\u003e\n    \u003cimg src=\"docs/source/examples/images/example02/steady_deltarcm.gif\" alt=\"Example\" width=\"75%\"\u003e\u003c/a\u003e\n\u003c/div\u003e\n\n## Installation:\ndorado supports Python 3.11+. For the full distribution including examples, clone this repository using `git clone` and run `python setup.py install` from the cloned directory. To test this \"full\" installation, you must first install `pytest` via `pip install pytest`. Then from the cloned directory the command `pytest` can be run to ensure that your installed distribution passes all of the unit tests.\n\nFor a lightweight distribution including just the core functionality, use `pip` to install via PyPI:\n\n    pip install pydorado\n\nInstallation using `conda` via `conda-forge` is also supported:\n\n    conda install -c conda-forge pydorado\n\nFor additional installation options and instructions, refer to the [documentation](https://passah2o.github.io/dorado/install/index.html).\n\n## Contributing\nWe welcome contributions to the dorado project. Please open an issue or a pull request if there is functionality you would like to see or propose. Refer to our [contributing guide](https://passah2o.github.io/dorado/misc/contributing.html) for more information.\n\n## Citing\nIf you use this package and wish to cite it, please use the [Journal of Open Source Software article](https://joss.theoj.org/papers/10.21105/joss.02585#).\n\n## Funding Acknowledgments\nThis work was supported in part by NSF EAR-1719670, the NSF GRFP under grant DGE-1610403 and the NASA Earth Venture Suborbital (EVS) award 17-EVS3-17_1-0009 in support of the DELTA-X project.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FpassaH2O%2Fdorado","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FpassaH2O%2Fdorado","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FpassaH2O%2Fdorado/lists"}