pydata/xarray

Health v2 · maintenance only

Adoption not part of the score

4190 stars · 1334 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Xarray is a Python library that adds labeled dimensions, coordinates, and attributes on top of NumPy-like N-dimensional arrays and datasets. It provides domain-agnostic analytics, GroupBy operations, and I/O backends for NetCDF, HDF, Zarr, OpenDAP, and GRIB, integrating with Dask, Pandas, and Matplotlib.

Use cases

• work with multidimensional labeled arrays in python
• read and write netcdf files
• analyze climate or weather gridded datasets
• process large arrays with dask out-of-core computation
• group and align data by coordinate labels
• convert between netcdf, zarr, and grib formats

When to choose

• you work with gridded, multi-dimensional scientific data like climate or geospatial arrays
• you want pandas-like label-based indexing for N-dimensional data
• you need scalable array processing with dask integration

When to avoid

• you only need simple 1D/2D tabular data, where pandas suffices
• you need unlabeled raw array math with minimal overhead, where numpy is enough

Facets

library · maturity stable

data-science data-visualization etl data-science big-data analytics python cross-platform labeled-arrays netcdf numpy pandas dask zarr multidimensional-data climate-data scientific-computing

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