xpublish-zarr 0.1.0

Zarr-compatible REST API plugin for Xpublish.

xpublish-zarr

Zarr-compatible REST API plugin for Xpublish.

xpublish-zarr exposes an xarray.Dataset over HTTP as a consolidated Zarr v3 store, so clients can read it via xarray.open_zarr / zarr.open_consolidated over fsspec's HTTP backend.

This plugin is extracted from xpublish core so that the core can be used without pulling in zarr.

Note on consolidated metadata. v3 consolidated metadata is currently an experimental extension — not yet part of the official Zarr v3 spec, but supported by both zarr-python and xarray. The plugin emits it because it lets clients open the dataset in a single HTTP request and because dropping it would require a directory-listing endpoint (zarr clients need some way to discover the group's children, and HTTP doesn't have a portable listing protocol). If/when the spec lands a different format, we'll follow upstream.

Install

uv add xpublish-zarr
# or
pip install xpublish-zarr

The plugin is auto-registered with xpublish via the xpublish.plugin entry point.

Usage

import xarray as xr

ds = xr.tutorial.open_dataset("air_temperature")
ds.rest.serve(host="0.0.0.0", port=9000)

import xarray as xr

ds = xr.open_zarr("http://0.0.0.0:9000/zarr/", consolidated=True, zarr_format=3)

Endpoints

For a single dataset (mounted at the root):

Path	Description
/zarr/zarr.json	Root group metadata (includes consolidated metadata)
/zarr/{var}/zarr.json	Per-array metadata
/zarr/{var}/c/{i}/{j}/…	A variable's chunk (binary), /-separated chunk coords
/zarr/{var}/c	The single chunk of a scalar (0-d) variable

For a multi-dataset Rest app the paths are prefixed with /datasets/{dataset_id}.

Caveats

• Single group only. DataTree / nested groups are not yet supported; this will land once xpublish merges its DataTree handling.
• No sharding yet. Adding it later is a one-line change at the to_zarr step and does not alter the HTTP surface.
• Encoding. Each variable's codec pipeline, chunk shape, fill value, and dimension_names come from xarray's own to_zarr path, so the wire format matches what ds.to_zarr(..., zarr_format=3) would produce locally. Set per-variable encoding (compressor, chunks, fill value, dtype) via ds[var].encoding before serving.

Development

This project uses uv for environment and dependency management.

uv sync
uv run pytest