awesome-data-science-notebook-engines

A collection of Data Science focused notebook engines

Name	URL	Julia	Notes
NextJournal	https://nextjournal.com/	Yes	Good support for Julia cluttered and sometimes confusing interface allows you to build images; so pre-compiling is possible
Jupyter		Yes	The original
Google Colab
CoCalc	https://cocalc.com	Yes	R, Python, Julia, and other languages Hundreds of GB of installed packages Jupyter notebooks, many kernels Rmd, LaTeX real-time collaboration
MatrixDS		Yes
MyBinder		Yes; requires some tricks	Binder
Kaggle		No	Proprietary
AWS SageMaker		Not sure; suspect you can install the Julia kernel yourself	Proprietary
Paper space	https://www.paperspace.com/	Not sure	Meant to be fast, not tested yet.
Observable	https://Observablehq.com/	No, only JavaScript	Runs code directly in your browser, viewers can instantly edit and run code!
Pluto	https://github.com/fonsp/Pluto.jl	Only Julia	⚡ Lightweight reactive notebooks for Julia
Code Ocean	https://codeocean.com/
Elixir livebook	https://github.com/elixir-nx/livebook	no	is it data science focused? probably not.
Deepnote	https://deepnote.com/	yes, requires setup	Very slick UI, data science targeted

died

Name	URL	Notes
Juliabox		Julia only; died on May 2020