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Package Overview

Tilebox offers a Python SDK for accessing Tilebox services. The SDK includes separate packages that can be installed individually based on the services you wish to use, or all together for a comprehensive experience.

tilebox-datasets

Access Tilebox datasets from Python

tilebox-workflows

Workflow client and task runner for Tilebox

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Installation

Install the Tilebox python packages using your preferred package manager.
For new projects Tilebox recommend using uv.
uv add tilebox-datasets tilebox-workflows tilebox-storage

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Setting up a local JupyterLab environment

To get started quickly, you can also use an existing Jupyter-compatible cloud environment such as Google Colab.
If you want to set up a local Jupyter environment to explore the SDK or to run the Sample notebooks locally, install JupyterLab for a browser-based development environment. It’s advised to install the Tilebox packages along with JupyterLab, ipywidgets, and tqdm for an enhanced experience.
uv
mkdir tilebox-exploration
cd tilebox-exploration

uv init --no-package
uv add tilebox-datasets tilebox-workflows tilebox-storage
uv add jupyterlab ipywidgets tqdm
uv run jupyter lab

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Trying it out

After installation, create a new notebook and paste the following code snippet to verify your installation. If you’re new to Jupyter, you can refer to the guide on interactive environments.
Python
from tilebox.datasets import Client

client = Client()
datasets = client.datasets()

collection = datasets.open_data.copernicus.landsat8_oli_tirs.collection("L1T")
data = collection.query(temporal_extent=("2015-01-01", "2020-01-01"), show_progress=True)
data
If the installation is successful, the output should appear as follows.
Local JupyterLabLocal JupyterLab