Datapane provides a public instance for individuals, private instances for teams, or an on-premise deployment which you can run on your own infrastructure.
Yes. Once on Datapane, your code has network access and can connect to third-party systems, so can push or pull from a database or API.
No. Datapane's philosophy is to fit into your existing infrastructure, and provides an API to push assets (such as trained models) from other platforms so you can access them in your scripts.
Datapane supports the majority of Python visualisation libraries, such as Bokeh, Altair, and Matplotlib, and many Python analysis libraries. You can also provide your own requirements from pip or local libraries, or provide your own Docker container which your script will run in.
Yes. If you don't need to interactive scripts which generate reports dynamically, you can create reports directly from your existing Python environment, without running code on Datapane.
In addition to iframe support, you can embed reports directly into Reddit, Medium, Notion, and more.