3 boosters for "jupyter-notebook" — open source, verified from GitHub, ready to install
Helps developers quickly create structured, reproducible Jupyter notebooks for experiments and tutorials using built-in templates and helper scripts. Ideal for data scientists, researchers, and educators who need consistent notebook scaffolding.
FHIRy is a Python package that converts FHIR healthcare data into pandas DataFrames, enabling data scientists and healthcare developers to perform analytics, machine learning, and AI on standardized health records. It's ideal for researchers and engineers working with health data who need quick, programmatic access to structured clinical datasets.
Automates cleanup of JupyterHub Docker environments by stopping containers and removing orphaned resources. Ideal for data scientists and ML engineers managing local Jupyter development platforms who need to free up disk space and reset their environments.
