Datapane Reports are data-centric documents which you can generate using Python. You can think of them as replacements for sending a PDF or PowerPoint, and they can be exported as standalone HTML files and sent over Slack or Email. Reports are often created programmatically from inside other platforms, such as a data pipelines ("LightGBM training results v230"), CI, or generated on a cadence ("Monday's sales forecast").
Generating a Report is somewhat similar to generating static-site generator for HTML, like
Datapane Reports provide the fastest way to share with others, for instance:
- Export as a standalone HTML file (with all it's assets inline) which you can share on Slack or Email
- Host on GitHub Pages or S3 for a public presentation
- Embed within your own internal applications
The example below builds upon the example in the previous section, comprised of a heading, figure, interactive figure, and interactive data table.
Datapane makes it simple to convert this into a Report, as per the examples below (see the API reference for further details).
Reports can be saved / exported as standalone files which can be shared without a server. All data and plots are encapsulated in a single HTML file, which provides a secure and low-barrier sharing method. Views can be exported as a standalone report using dp.save_report:
Although standalone and serverless, Internet access is required to retrieve Datapane front-end libraries needed to render the report