Nautilus JupyterHub - Image & Resource Guide
Choose the right environment for your project
When launching a JupyterHub server on Nautilus, you must choose an Image. This image determines your computing environment, including pre-installed libraries and tools. Below is a guide to help you pick the right one based on your needs.
General Science & Programming
| Image Name | Best for | Includes |
|---|---|---|
| Scipy | Scientific computing, math, plotting | NumPy, SciPy, Matplotlib |
| R | Statistical analysis in R | R language, base libraries |
| Julia | High-performance scientific computing | Julia language & base packages |
| Datascience (scipy, Julia, R) | Multilingual environments | Python, R, Julia pre-installed |
| Pyspark | Big data processing using Python + Spark | PySpark, Jupyter |
| All Spark | Full Spark environment | Spark (Scala, PySpark), Hadoop tools |
Machine Learning & AI
| Image Name | Best for | Includes |
|---|---|---|
| Tensorflow | Deep learning with TensorFlow | TensorFlow 2.x, Keras, Python |
| Pytorch | Deep learning with PyTorch | PyTorch, TorchVision |
| NRP Deep Learning & Data Science Full, PyTorch | GPU-enabled PyTorch + full data science stack | PyTorch, JupyterLab, Pandas, NumPy, Scikit-learn |
| NRP Deep Learning & Data Science Full, TensorFlow | GPU-enabled TensorFlow + data stack | TensorFlow, Keras, Matplotlib, Pandas |
B-Data Series (Data Science Focused)
| Image Name | Best for | Includes |
|---|---|---|
| B-Data python scipy | Lightweight data analysis in Python | SciPy stack, Pandas |
| B-Data Julia | Data science in Julia | Julia + data science packages |
| B-Data R | General R-based data analysis | Tidyverse, base R |
| B-Data R tidyverse | Modern R workflows | ggplot2, dplyr, tidyr |
| B-Data R verse | Tidyverse + advanced packages | Tidyverse + extras |
| B-Data R geospatial | R with geospatial tools | sf, raster, rgdal |
| B-Data R qgisprocess | R with QGIS integration | qgisprocess, sf |
Desktop Environments (GUI Access)
| Image Name | Best for | Includes |
|---|---|---|
| Selkies Desktop (Experimental) | GUI-based testing environment | Linux desktop, minimal tools |
| NRP Desktop GUI | General GUI desktop for remote apps | XFCE desktop |
| NRP Desktop GUI + Relion | Cryo-EM data processing | Relion software |
| NRP Desktop GUI + PRISM | Scientific data visualization | PRISM toolset |
Specialized Tools
| Image Name | Best for | Includes |
|---|---|---|
| NRP R Studio Server | R development in IDE | R + RStudio in browser |
| NRP Matlab | MATLAB users (license required) | MATLAB via browser |
| NRP OSGEO | GIS and mapping tools | GDAL, QGIS, GRASS |
Resource Selection Reminders
GPUs: Use only if required (e.g., training deep learning models)
Cores & RAM: Start small (e.g., 2 cores, 4-8 GB RAM) and scale as needed
GPU Type: Leave as Any unless you need specific hardware