Cloud-based, fully managed data science notebooks that work well in a team. Features include:
- sharing notebooks and projects via URL
- inviting others to view, comment and collaborate
- publishing notebooks for presentation
- sharing datasets between projects
- full linux terminal access
- code completion
- automatic python package management
- importing from github
- PostgreSQL DB connection
Need an alternative to Deepnote? Read on. We've looked at the best Deepnote alternatives available for Windows, Mac and Android.
IPython is an interactive shell for the Python programming language that offers enhanced introspection, additional shell syntax, syntax highlighting, tab completion and...
Open source, interactive data science and scientific computing across over 40 programming languages.
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nteract is a desktop application that allows you to develop rich documents that contain prose, executable code (in almost any language!), and images. nteract helps you...
The Beaker Notebook is a new open source tool for research and data science. It's advanced UI allows you to focus on your data and your science, instead of getting...
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Observable is a better way to code. Discover insights faster and communicate more effectively with interactive notebooks for data analysis, visualization, and...
Multi-language notebook for data analysis with a focus on reproducibility and data sharing between code elements.
Turn a Git repo into a collection of interactive notebooks Have a repository full of Jupyter notebooks? With Binder, open those notebooks in an executable environment...
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