Prism

Cloud research workstations
in seconds, not hours

Pre-configured AWS environments for researchers, labs, and classrooms — launch with one command, stop paying when you're done.

Get Started View on GitHub
brew install scttfrdmn/tap/prism

Launch in seconds

One command and you're running. Prism picks the right instance, configures storage, and installs your tools automatically.

Cost control built in

Budget limits per project, idle detection, and automatic hibernation prevent surprise AWS bills.

Research-ready templates

Python ML, R/RStudio, genomics, bioinformatics — pre-configured with the tools your field actually uses.

CLI and GUI

Script with the CLI or use the desktop app for visual management. Both share the same backend daemon.

Built for labs and classes

Provision workstations for an entire class via invitation codes. Budget pools, project isolation, and usage tracking included.

Secure by default

SSH key management, per-project IAM scoping, and encrypted storage. Your data stays in your own AWS account.

From zero to running in minutes

# Install
brew install scttfrdmn/tap/prism

# Connect your AWS credentials
prism profile add

# Launch a research environment
prism workspace launch python-ml my-project

# Connect via SSH — ready in under 2 minutes
prism workspace ssh my-project
Full installation guide → IAM permissions →

Environment templates

python-ml
PyTorch, TensorFlow, Jupyter
r-research
R, RStudio Server, Bioconductor
genomics
GATK, BWA, samtools, STAR
bioinformatics
Conda, Snakemake, BioPython
deep-learning
CUDA, cuDNN, GPU-ready PyTorch
data-science
Pandas, scikit-learn, DuckDB
hpc-base
MPI, OpenMP, GCC, CMake

Downloads

All releases and changelogs on the GitHub releases page.