Jupyter is an open-source, web-based application that allows users to create and share documents containing live code, equations, visualizations, and narrative text. It is a tool that enables users to build interactive, reproducible, and shareable documents for data science, machine learning, and scientific computing. It combines the power of data science and the ease of use of a web application. Through its integrated web-based console, Jupyter makes it easy to write code and analyze data in real-time. It supports multiple programming languages and also provides interactive visualizations. With its intuitive notebook interface, users can quickly prototype code and analyze data without having to spend time installing software or learning complicated programming languages. The application is also popular with educators and students as a way to explore and experiment with coding and data science concepts.
Very similar to Jupyter, but dropping the notion of a "session", it encompasses multiple language cells in a single notebook and the translation of data in multiple languages between code cells.
Discontinued project stopped. The source code is archived here: https://github.com/antoineMoPa/mucalc.com
Mathematical coding in the browser. Easy document sharing and collaboration.
Discontinued website / service not available.
nteract is a cross-platform Electron-based desktop application that uses the Jupyter kernels but gives you a richer interface and native operating system file associations, etc.