- Pangeo == A community platform for Big Data geoscience
- https://github.com/pangeo-data/pangeo
- Read this post
- Pangeo is a environment made up of many different open-source software packages. Pangeo is run on cloud infrastructure (typically GCP) in order to enable parallel processing of geospatial and climate data via Xarray and Dask. Kubernetes is used to distribute analysis across many machines ('workers'). In the default configuration for Pangeo Binder, each worker has 2 vCPUs and 7Gb of RAM. As we are free of RAM constraints, there is no need to do analysis on downsampled data.
- Modern python stack of rasterio, xarray etc, unlike many of the other cloud platforms. See the Dockerfile for a complete list.
- Use case gallery
- Try on Binder -> screenshot below. Note this is launching the pangeo-example-notebooks repo but you could launch your own repo.
- There are several places where you can access a Pangeo deployment -> most require you to be a member of the Pangeo organisation http://pangeo.io/deployments.html#deployments
