When sharing your notebooks with viewers or publishing reports, you might want to completely hide certain information to make your notebooks look cleaner. In Datalore you can hide specific cell inputs and outputs, or hide all inputs or outputs for the whole notebook. Collaborators with edit access rights will still be able to see the hidden cells.
Share notebooks as data stories by publishing an interactive report and sending your team a public link to access it. Each report viewer will get their own copy of the report and will be able to change controls, widgets, and chart cell inputs and recompute the report on demand. No Datalore account is required to access the reports.
Add interactive dropdowns, sliders, and text inputs inside your notebooks, and use the input values as variables inside your code.
Create production-ready visualizations in just a few clicks and let report viewers collaborate on them.
If you need to present the notebook as a static page, you can publish it as a static report and also share it with viewers by public link. You can add further changes to the initial notebook and update the published report so that everyone sees the most recent copy.
Create embeds from published notebooks and integrate them into your Medium articles and other places, such as WordPress websites, Reddit, Notion, etc. Just copy a link to the cell from the published notebook and paste it to your platform.
Share your thoughts by leaving comments on individual cells or the whole report. This feature is available only for static reports, since for interactive reports the outputs can be changed by each report viewer.
Share interactive and static reports with unlimited recipients in your team with just a link. When running interactive reports, viewers will consume your computational resources. When viewing static reports, no additional resources will be consumed.
In Datalore you can export notebooks and reports as PDF, HTML, IPYNB, or PY files. You can also download the produced visualizations and table data simply by clicking the download button or right-clicking on the plot.