JupyterHub (cloud analysis platform)

A multi-user version of Jupyter notebooks that runs in the cloud, next to the data. Each user gets their own notebook server on shared infrastructure — open a browser, get a Python environment already sitting beside the ARCO stores.

Why it matters

When the data lives in the cloud, the fastest place to analyze it is also in the cloud — no multi-gigabyte downloads, no “works on my machine”. A hub gives a whole team (or a classroom, or the public) reproducible environments with the science libraries pre-installed.

Where you’ll meet it

• VEDA’s analysis platform is a JupyterHub where scientists run notebooks against the VEDA data store.
• NASA’s Openscapes / 2i2c hubs and the Copernicus Data Space JupyterLab work the same way.
• This is the alternative to the take-home notebooks in this atlas — same code, but run beside the data instead of on your laptop.
• Hubs usually bundle earthaccess, xarray, rioxarray, and STAC clients so cloud-direct reads work out of the box.

In plain terms

A shared workshop next door to the warehouse — every worker gets a bench with the tools already laid out, right where the materials are stored.