sudobangbang (ranchodeluxe)

ranchodeluxe

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Location:Seattle, WA

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sudobangbang's repositories

pangeo-forge-recipes

Python library for building Pangeo Forge recipes.

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pangeo-forge-runner

Run pangeo-forge recipes on Apache Beam

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tipg

[Under Development] Simple and Fast Geospatial OGC Features and Tiles API for PostGIS.

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titiler-pgstac

TiTiler + PgSTAC

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asyncpg

A fast PostgreSQL Database Client Library for Python/asyncio.

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datatree

WIP implementation of a tree-like hierarchical data structure for xarray.

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deploy-recipe-action

Deploys Pangeo Forge Recipes to the specified Apache Beam Runner.

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eoapi-k8s

eoAPI runtimes and k8s IAC for AWS, GCP

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filesystem_spec

A specification that python filesystems should adhere to.

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gcsfs

Pythonic file-system interface for Google Cloud Storage

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gpcp-from-gcs-feedstock

Pangeo Forge feedstock for gpcp-from-gcs.

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httpfs-sync

synchronous http implementations filesystem and friends for fsspec

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leap-pgf-example

A repo to demonstrate creating a beam-based pangeo-forge-recipe and injecing the path to the meta.yaml file into the dataset attributes.

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postgres-operator

Production PostgreSQL for Kubernetes, from high availability Postgres clusters to full-scale database-as-a-service.

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postgres-operator-examples

Examples for deploying applications with PGO, the Postgres Operator from Crunchy Data

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rasterio

Rasterio reads and writes geospatial raster datasets

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rio-tiler

User friendly Rasterio plugin to read raster datasets.

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rioxarray

geospatial xarray extension powered by rasterio

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rocker-versioned2

Run current & prior versions of R using docker. rocker/r-ver, rocker/rstudio, rocker/shiny, rocker/tidyverse, and so on.

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s3fs

S3 Filesystem

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stac-fastapi-pgstac

PostgreSQL backend for stac-fastapi using pgstac (https://github.com/stac-utils/pgstac)

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staged-recipes

A place to submit pangeo-forge recipes before they become fully fledged pangeo-forge feedstocks

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system-test

System test suite

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veda-pforge-job-runner

Apache Beam + Flink Job Runner for Pangeo Forge Recipes

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xarray

N-D labeled arrays and datasets in Python

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