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cdat

Community Data Analysis Tools

comola

CoMOLA is a generic python tool for Constrained Multi-objective Optimization of Land use Allocation. It offers a framework to explore a landscape’s potential for ecosystem service supply and biodiversity conservation considering land use conversion and areal coverage constraints. CoMOLA can be used immediately by inputting a raster map representing the status-quo land use, ready-to-run models written in R including their input data, and (optional) information on constraints. The end product is a set of pareto-optimal solutions (land use maps) from which decision makers can discuss and select appropriate solutions according to their preferences.

flopy

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

ggcmi

GGCMI codes

ihme-modeling

GATHER compliant code for the GBD

io-model-builder

iteem

lca-huma_health_assessment

Evaluating Occupational Health Impacts due to nonfatal injuries and illnesses in Work environment over an Entire Product Life Cycle

magnitude_varying_sensitivity_analysis

modified_rm

netcdf_to_ascii_climate

nets1

oscm_scidac

pydssat

Python Interface for Crop Model DSSAT

pysot

Surrogate Optimization Toolbox for Python

salib

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

sktime

A unified toolbox for machine learning with time series

smt

Surrogate Modeling Toolbox

swb2_examples

Collection of working SWB version 2.0 example applications.