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1. docs docs Public

   Documentation for analysts, data scientists, software engineers, and other data-savvy people interested in exploring or building applications with Probable Futures maps and data.

   SCSS 4 2

2. api-libraries api-libraries Public

   Libraries for interacting with the Probable Futures API, starting with a Python library.

   Python 3 3

3. apps-public apps-public Public

   All public Probable Futures applications: maps, API, Pro, and map builder.

   TypeScript 3

4. data-engineering data-engineering Public

   Scripts for going from NetCDF to web-ready climate model data.

   TypeScript

5. map-data-processing map-data-processing Public

   Climate data processing, before it reaches the web stack. Maintained by Dr. Carlos Dobler at Woodwell Climate Research Center.

   HTML

6. climate-change-assistant climate-change-assistant Public

   Forked from datakind/climate-change-assistant

   An experimental LLM agent to help people understand climate change. Not ready for use in a production environment.

   Jupyter Notebook 1