jupyter-xarray-tiler 0.4.0

A Jupyter server extension providing a TiTiler server, proxy, and a Python API to add Xarray datasets to the TiTiler server.

Jupyter Xarray Tiler

[!IMPORTANT] This repository is experimental and in the prototype stage. Expect bugs. Expect a possible pivot and/or name change in the future :smile:

Your feedback and contributions are welcome! Please open an issue, DM Matt Fisher, or post in the #geojupyter channel on the Jupyter Zulip!

A Jupyter server extension which provides an API to launch a server to dynamically tile Xarray DataArrays for interactive visualization.

Who is this for?

Intended to be consumed by interactive map libraries for Jupyter, not end-users, e.g.:

• Leafmap
• ipyleaflet
• ipyopenlayers
• More?

What problem does this solve?

For authors of interactive map libraries for Jupyter, providing a dynamic HTTP tile server presents a unique problem: they don't know where Jupyter is running. It could be, for example, running on:

• users' local machines
• a shared JupyterLab instance on an intranet
• an authenticated JupyterHub in a public cloud

The first case is the simplest; when the tile server is running on localhost, the map viewer running in JavaScript in the user's browser can connect to it.

In the other cases, the map viewer needs a public URL to connect to. The URL of the current JupyterHub instance may not be known. Additionally, a map server running in a Jupyter kernel isn't exposed to the public internet in many cases (for example, when it's running in a Kubernetes pod as part of a JupyterHub). This extension provides dynamic proxying to map servers running in the kernel.

Usage

As a Jupyter interactive map library author, you may implement a method like:

from jupyter_xarray_tiler.titiler import add_data_array


class MyMapLibrary:
  # ...

  def add_xarray_layer(self, da: xr.DataArray):
    # Add the layer to the tile server.
    # The server will be started the first time this is called.
    # A URL that passes through the Jupyter server proxy will be returned:
    url = add_data_array(da)

    # Add the layer to your map!
    self._add_tile_layer(url)

Install

Recommended:

uv add jupyter-xarray-tiler

Or:

[!WARNING] Installation with pixi/conda/mamba/micromamba is not yet supported. Please use another installation method!

pixi add jupyter-xarray-tiler

For other methods of installation, including pip, conda, mamba, and micromamba, see the installation instructions in the documentation.

From source

uv add git+https://github.com/geojupyter/jupyter-xarray-tiler.git#egg=jupyter-xarray-tiler

For development instructions, please view the development install instructions in our documentation's Contributor Guide!

Contributing

Please see the Contributor Guide in our documentation!

:rocket: Powered by...

TiTiler (Development Seed)

Other backends (e.g. xpublish-tiles (earthmover)) may be supported in the future!

:sparkles: Inspired by...

jupytergis-tiler by David Brochart