Xpublish lets you easily publish Xarray Datasets via a REST API.

You can run a short example application in a live session here: Binder

On the server-side, one or more datasets can be published using the xpublish.Rest class or the xarray.Dataset.rest accessor, e.g.,

ds.rest.serve(host="", port=9000)

Those datasets can be accessed from various kinds of client applications, e.g., from within Python using Zarr and fsspec.

import xarray as xr
import zarr
from fsspec.implementations.http import HTTPFileSystem

fs = HTTPFileSystem()
http_map = fs.get_mapper('')

# open as a zarr group
zg = zarr.open_consolidated(http_map, mode='r')

# or open as another Xarray Dataset
ds = xr.open_zarr(http_map, consolidated=True)


Xpublish lets you serve, share and publish Xarray Datasets via a web application.

The data and/or metadata in the Xarray Datasets can be exposed in various forms through pluggable REST API endpoints. Efficient, on-demand delivery of large datasets may be enabled with Dask on the server-side.

We are exploring applications of Xpublish that include:

  • publish on-demand or derived data products

  • turning xarray objects into streaming services (e.g. OPeNDAP)


Under the hood, Xpublish is using a web app (FastAPI and Uvicorn) that is exposing a REST-like API with builtin and/or user-defined endpoints.

For example, Xpublish provides by default a minimal Zarr compatible REST-like API with the following endpoints:

  • /.zmetadata: returns Zarr-formatted metadata keys as json strings.

  • /var/0.0.0: returns a variable data chunk as a binary string.


If you encounter any errors or problems with Xpublish, please open an issue on GitHub.