Stars
Turning PySpark Into a Universal DataFrame API
Scalable and efficient data transformation framework - backwards compatible with dbt.
Tutorial on geospatial data manipulation with Python
read image server tiles direct with GDAL, or download image server tiles to a local cache
A cookbook full of recipes for using the Python GDAL/OGR bindings.
R raster package https://rspatial.github.io/raster/reference/raster-package.html
Docker-based Geospatial toolkit for R, built on versioned Rocker images
R functions for dealing with slippy map tile servers.
High performance raster conversion for modern spatial data 🚀🌏▦
RStudio add-in to copy data to clipboard, reverse slashes, insert and reformat pipes.
Paul Ford’s “What Is Code?”
RStudio is an integrated development environment (IDE) for R
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
rstanarm R package for Bayesian applied regression modeling
An R package to flexible rearrange, reshape and aggregate data
Command-line tool (+ C library) for converting SAS, Stata, and SPSS files 💾





