Skip to content

Get Started

Warning

This page is under construction.

Why use isku?

isku is a minimalist Python + Xarray-based climate impact projection framework for researchers with little time.

Features

  • Define and apply three-step models to project climate effects, impacts, and damages.

  • Extract regionalized variables from regularly gridded data, such as downscaled general circulation model output.

  • Minimalist.

  • Loosely coupled components and protocols for quick scripts with functions or gnarly OOP-heavy applications.

  • Designed around Xarray to work with larger-than-memory datasets and distributed computing (dask!), GPUs, TPUs, streaming datasets.

  • Great for weird ad hoc projects and researchers that love rechunking big data!

Installation

isku is a Python package available for download from PyPI.

Using pip you can install this package with

pip install isku

best practice suggest installing the package into a virtual environment.

For a uv project this is

uv add isku

Install the unreleased and unstable bleeding-edge version of the package with:

pip install git+https://github.com/climateimpactlab/isku

using pip or with a project in uv, do

uv add git+https://github.com/climateimpactlab/isku