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.

Geosciences

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

• argopy: xarray-based Argo data access, manipulation and visualisation for standard users as well as Argo experts.

• climpred: Analysis of ensemble forecast models for climate prediction.

• geocube: Tool to convert geopandas vector data into rasterized xarray data.

• GeoWombat: Utilities for analysis of remotely sensed and gridded raster data at scale (easily tame Landsat, Sentinel, Quickbird, and PlanetScope).

• grib2io: Utility to work with GRIB2 files including an xarray backend, DASK support for parallel reading in open_mfdataset, lazy loading of data, editing of GRIB2 attributes and GRIB2IO DataArray attrs, and spatial interpolation and reprojection of GRIB2 messages and GRIB2IO Datasets/DataArrays for both grid to grid and grid to stations.

• gsw-xarray: a wrapper around gsw that adds CF compliant attributes when possible, units, name.

• infinite-diff: xarray-based finite-differencing, focused on gridded climate/meteorology 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.

• SARXarray: xarray extension for reading and processing large Synthetic Aperture Radar (SAR) data stacks.

• shxarray: Convert, filter,and map geodesy related spherical harmonic representations of gravity and terrestrial water storage through an xarray extension.

• Spyfit: FTIR spectroscopy of the atmosphere

• windspharm: Spherical harmonic wind analysis in Python.

• wradlib: An Open Source Library for Weather Radar Data Processing.

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

• xarray-regrid: xarray extension for regridding rectilinear data.

• 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.

• xCDAT: An extension of xarray for climate data analysis on structured grids.

• 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.

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

• xnemogcm: a package to read NEMO output files and add attributes to interface with xgcm.

Machine Learning

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

• Darts: User-friendly modern machine learning for time series in Python.

• Elm: Parallel machine learning on xarray data structures

• sklearn-xarray (1): Combines scikit-learn and xarray (1).

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

• xbatcher: Batch Generation from Xarray Datasets.

Other domains

• ptsa: EEG Time Series Analysis

• pycalphad: Computational Thermodynamics in Python

• pyomeca: Python framework for biomechanical analysis

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.

• ntv-pandas : A tabular analyzer and a semantic, compact and reversible converter for multidimensional and tabular data

• nxarray: NeXus input/output capability for xarray.

• xarray-compare: xarray extension for data comparison.

• xarray-dataclasses: xarray extension for typed DataArray and Dataset creation.

• xarray_einstats: Statistics, linear algebra and einops for xarray

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

• xeofs: PCA/EOF analysis and related techniques, integrated with xarray and Dask for efficient handling of large-scale data.

• 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.

Visualization

• datashader, geoviews, holoviews, : visualization packages for large data.

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

• psyplot: Interactive data visualization with python.

• xarray-leaflet: An xarray extension for tiled map plotting based on ipyleaflet.

• xtrude: An xarray extension for 3D terrain visualization based on pydeck.

• pyvista-xarray: xarray DataArray accessor for 3D visualization with PyVista and DataSet engines for reading VTK data formats.

Non-Python projects

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

• AxisArrays, NamedArrays and YAXArrays.jl: similar data structures for Julia.

More projects can be found at the “xarray” Github topic.