pip install stac-nb
To use stac-nb in a project, start Jupyter Lab (jupyter lab), create a new notebook, then:
from stac_nb import STAC_Query_UI
Display the UI for a STAC API:
ui = STAC_Query_UI("https://earth-search.aws.element84.com/v0")
ui.display()
After you have run the query, retrieve the results:
ui.query_results
Private STAC Servers make use of the headers parameter in pystac_client.Client.open(...)
https://pystac-client.readthedocs.io/en/stable/api.html#pystac_client.Client
Passes tests.
This requirement caused some installation issues in a managed environment. The code doesn't actually need jupyterlab as far as I can tell. My fork is working for me, but may be useful to upstream.
As discussed on Twitter. I have no Jupyter available right now, so still untested and just written in a GitHub text field. If you have the chance to test, please beat me to it.
Hey @darrenwiens, what do you think about having a text box in the Common tab that filters collections by ID, to help navigate big STACs? Whenever the filter text is changed, the collection list would update to only include matching collections.
I threw together a quick working demo below, mostly to make sure it was possible with ipywidgets before I suggested it.
If you like the idea I'm happy to make a PR. If not, no worries!
https://github.com/radiantearth/stac-api-spec/tree/master/item-search#query-parameter-table
should allow long text input or file upload: https://ipywidgets.readthedocs.io/en/latest/examples/Widget%20List.html#File-Upload
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