Beast code in Giters

Robin Weatherl's starred repositories

pyemu

python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)

Language:ReasonBSD-3-Clause16700

pestpp

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

Language:C++12200

flopy

A Python package to create, run, and post-process MODFLOW-based models.

Language:PythonNOASSERTION48700

gwhat

Ground-Water Hydrograph Analysis Toolbox

Language:PythonGPL-3.03100

Hydrostats

Tools for use in comparison studies, specifically for use in the field of hydrology

Language:PythonMIT4100

curvenumber

curvenumber: an R package to calculate Base Flow Index and Curve Number for gauged and ungauged river catchments

Language:R1400

pystream-example

Example simulation with the PySTREAM library

Language:Jupyter NotebookGPL-3.0100

smartpy

An implementation of the rainfall-runoff model SMART in Python

Language:PythonNOASSERTION1900

hydropy

Analysis of hydrological oriented time series.

Language:Jupyter NotebookBSD-2-Clause5500

Python-Hydrology-Tools

:droplet: This repository holds a list of open source Python packages interesting to Hydrologists

38300

AnaFlow

A python-package containing analytical solutions for the groundwater flow equation

Language:PythonMIT3200

hydroshare

HydroShare is a collaborative website for better access to data and models in the hydrologic sciences.

Language:PythonBSD-3-Clause17600

HydroData

An R 📦 for finding and getting geospatial earth systems data

Language:RMIT3900

subsurface_hackathon_2017

Three notebooks to jump start a data science project

Language:Jupyter NotebookMIT800

WellApplication

Tools used to manipulate hydrograph data; Solinst xles to pandas dataframe; hydrograph analysis; hydrology; Gannt Charts; Piper diagrams; hydrogeology; wells; groundwater; USGS data; WQP data;

Language:PythonMIT2000

GWSDAT

GroundWater Spatiotemporal Data Analysis Tool (GWSDAT) R-Shiny implementation.

Language:R3000

pastas

Pastas is an open-source Python framework for the analysis of groundwater time series.

Language:PythonMIT34900

bad-data-guide

An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

100

rhydro_EGU19

Using R in Hydrology - EGU2019 Short Course

Language:JavaScriptGPL-3.04100