User Environments

Resources¶

These are available to each user:

• RAM: 2 GB

• CPU: 1

• Storage Limits: 10G per user (configurable for special purposes)

Kernels¶

The base image includes both Python and R kernels.

Development Environments¶

• JupyterLab

• Jupyter Notebook

• VS Code

• RStudio

• Shiny

Python Packages¶

The following Python packages are pre-installed. The full list and available versions are found in the base user image repository:

• datascience

• jupyter-shiny-proxy

• jupysql

• geopandas

• geopy

• openpyxl

• matplotlib

• numpy

• openpyxl

• otter-grader

• pandas

• plotly

• pytorch

• scikit-learn

• scipy

• seaborn

• statsmodels

• sympy

R Packages¶

The following R packages are pre-installed. Versions are available in the repository:

• car

• colorspace

• devtools

• esquisse

• extrafont

• flexdashboard

• forcats

• forecast

• gdalcubes

• ggThemeAssist

• ggalluvial

• ggbeeswarm

• ggcorrplot

• GGally

• ggdist

• ggformula

• gghighlight

• ggmosaic

• ggpubr

• ggrepel

• ggridges

• ggtext

• ggthemes

• gridExtra

• gtsummary

• IRkernel

• janitor

• knitr

• leaflet

• Lock5Data

• lubridate

• magick

• mapgl

• mapproj

• maps

• minioclient

• mosaic

• naniar

• nycflights13

• openintro

• palmerpenguins

• plotly

• pwr

• quarto

• RColorBrewer

• remotes

• renv

• rmarkdown

• rstac

• scales

• see

• sf

• sjPlot

• socviz

• stars

• sweep

• terra

• tidymodels

• tidyquant

• tidyr

• tidyverse

• timetk

• viridis