Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

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

Python library for reading and writing well data using Log ASCII Standard (LAS) files

USGS Modular Hydrologic Model

A Python package for calculating and visualizing drought indices such as the SPI, SPEI and SGI.

Module for loading observation data into custom DataFrames

Groundwater Time Series Modeling Challenge

Groundwater timeseries analysis of hydrographs

An analytic element model for steady multi-layer flow

Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.

Transient multi-layer analytic element modeling of groundwater flow

Python package to Create, Read, Write, Edit, and Visualize GSFLOW models

12 baseflow separation methods with automatic parameter calibration

A package for audio-frequency magnetotellurics

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;

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning

Multivariate timeseries analysis using dynamic factor modelling.

Hydrologic AnalySis Package. See official source code: https://doi-usgs.github.io/HASP/

🍝 🏪 Tools for managing timeseries and Pastas models