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
In our list of best programs, we'll review some different alternatives to Deepnote. Let's see if your platform is supported by any of them.
Open source, interactive data science and scientific computing across over 40 programming languages.
Features:
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