Xarray related projects¶
Below is a list of existing open source projects that build functionality upon xarray. See also section xarray Internals for more details on how to build xarray extensions. We also maintain the xarray-contrib GitHub organization as a place to curate projects that build upon xarray.
aospy: Automated analysis and management of gridded climate data.
climpred: Analysis of ensemble forecast models for climate prediction.
geocube: Tool to convert geopandas vector data into rasterized xarray data.
infinite-diff: xarray-based finite-differencing, focused on gridded climate/meterology data
marc_analysis: Analysis package for CESM/MARC experiments and output.
MetPy: 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).
OGGM: Open Global Glacier Model
Oocgcm: Analysis of large gridded geophysical datasets
Open Data Cube: Analysis toolkit of continental scale Earth Observation data from satellites.
Pangaea:: xarray extension for gridded land surface & weather model output).
Pangeo: A community effort for big data geoscience in the cloud.
PyGDX: Python 3 package for accessing data stored in GAMS Data eXchange (GDX) files. Also uses a custom subclass.
pyinterp: Python 3 package for interpolating geo-referenced data used in the field of geosciences.
pyXpcm: xarray-based Profile Classification Modelling (PCM), mostly for ocean data.
Regionmask: plotting and creation of masks of spatial regions
rioxarray: geospatial xarray extension powered by rasterio
salem: 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.
Spyfit: FTIR spectroscopy of the atmosphere
windspharm: Spherical harmonic 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-simlab: xarray extension for computer model simulations.
xarray-spatial: Numba-accelerated raster-based spatial processing tools (NDVI, curvature, zonal-statistics, proximity, hillshading, viewshed, etc.)
xarray-topo: xarray extension for topographic analysis and modelling.
xbpch: xarray interface for bpch files.
xclim: A library for calculating climate science indices with unit handling built from xarray and dask.
xESMF: 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.
xshape: Tools for working with shapefiles, topographies, and polygons in xarray.
Extend xarray capabilities¶
Collocate: Collocate xarray trajectories in arbitrary physical dimensions
eofs: EOF analysis in Python.
hypothesis-gufunc: Extension to hypothesis. Makes it easy to write unit tests with xarray objects as input.
nxarray: NeXus input/output capability for xarray.
xarray-compare: xarray extension for data comparison.
xarray-custom: Data classes for custom xarray creation.
xarray_extras: Advanced algorithms for xarray objects (e.g. integrations/interpolations).
xpublish: Publish Xarray Datasets via a Zarr compatible REST API.
xrft: Fourier transforms for xarray data.
xr-scipy: A lightweight scipy wrapper for xarray.
X-regression: Multiple linear regression from Statsmodels library coupled with Xarray library.
xskillscore: Metrics for verifying forecasts.
xyzpy: Easily generate high dimensional data, including parallelization.