Xarray related projects

    • aospy: Automated analysis and management of gridded climate data.

    • : xarray-based finite-differencing, focused on gridded climate/meterology data

    • marc_analysis: Analysis package for CESM/MARC experiments and output.

    • : A collection of tools in Python for reading, visualizing, and performing calculations with weather data.

    • MPAS-Analysis: Analysis for simulations produced with Model for Prediction Across Scales (MPAS) components and the Accelerated Climate Model for Energy (ACME).

    • : Open Global Glacier Model

    • Oocgcm: Analysis of large gridded geophysical datasets

    • : Analysis toolkit of continental scale Earth Observation data from satellites.

    • Pangaea:: xarray extension for gridded land surface & weather model output).

    • : A community effort for big data geoscience in the cloud.

    • Regionmask: plotting and creation of masks of spatial regions

    • : Adds geolocalised subsetting, masking, and plotting operations to xarray’s data structures via accessors.

    • SatPy : Library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.

    • : Sphericalharmonic wind analysis in Python.

    • wrf-python: A collection of diagnostic and interpolation routines for use with output of the Weather Research and Forecasting (WRF-ARW) Model.

    • : xarray extension for computer model simulations.

    • xarray-topo: xarray extension for topographic analysis and modelling.

    • : xarray interface for bpch files.

    • xclim: A library for calculating climate science indices with unit handling built from xarray and dask.

    • : Universal Regridder for Geospatial Data.

    • xgcm: Extends the xarray data model to understand finite volume grid cells (common in General Circulation Models) and provides interpolation and difference operations for such grids.

    • : a python package for reading MITgcm binary MDS files into xarray data structures.

    • : Tools for working with shapefiles, topographies, and polygons in xarray.

    Machine Learning

    • : Exploratory analysis of Bayesian models, built on top of xarray.

    • Elm: Parallel machine learning on xarray data structures

    • : Combines scikit-learn and xarray (2).

    • pycalphad: Computational Thermodynamics in Python

    Extend xarray capabilities

    • Collocate: Collocate xarray trajectories in arbitrary physical dimensions

    • : EOF analysis in Python.

    • xarray_extras: Advanced algorithms for xarray objects (e.g. integrations/interpolations).

    • : Fourier transforms for xarray data.

    • xr-scipy: A lightweight scipy wrapper for xarray.

    • : Multiple linear regression from Statsmodels library coupled with Xarray library.

    • xskillscore: Metrics for verifying forecasts.

    • : Easily generate high dimensional data, including parallelization.

    • Datashader, , holoviews, : visualization packages for large data.

    • : A high-level plotting API for the PyData ecosystem built on HoloViews.

    • psyplot: Interactive data visualization with python.

    Non-Python projects

    • xframe: C++ data structures inspired by xarray.

    • andNamedArrays: similar data structures for Julia.