A custom jupyterlab image based on the datascience-notebook image

(source: https://jupyter-docker-stacks.readthedocs.io/en/latest/using/selecting.html)

Source on GitHub | Dockerfile commit history | Docker Hub image tags

jupyter/scipy-notebook includes popular packages from the scientific Python ecosystem.

• Everything in jupyter/minimal-notebook and its ancestor images
• altair, beautifulsoup4, bokeh, bottleneck, cloudpickle, conda-forge::blas=*=openblas, cython, dask, dill, h5py, jupyterlab-git, matplotlib-base, numba, numexpr, openpyxl, pandas, patsy, protobuf, pytables, scikit-image, scikit-learn, scipy, seaborn, sqlalchemy, statsmodel, sympy, widgetsnbextension, xlrd packages
• ipympl and ipywidgets for interactive visualizations and plots in Python notebooks
• Facets for visualizing machine learning datasets

Source on GitHub | Dockerfile commit history | Docker Hub image tags

jupyter/datascience-notebook includes libraries for data analysis from the Julia, Python, and R communities.

• Everything in the jupyter/scipy-notebook and jupyter/r-notebook images and their ancestor images
• rpy2 package
• The Julia compiler and base environment
• IJulia to support Julia code in Jupyter notebooks
• Pluto.jl reactive Julia notebook interface, made accessible with jupyter-pluto-proxy
• HDF5 package