When comparing Google Charts vs Datapane, the Slant community recommends Datapane for most people. In the question“What are the best reporting and business intelligence (BI) tools?” Datapane is ranked 11th while Google Charts is ranked 15th. The most important reason people chose Datapane is:
Report generation is open source and has integrations into the Python visualisation libraries
Ranked in these QuestionsQuestion Ranking
Pros
Pro Easy to use
Google Charts has a large selection of chart types to get started with and have up in running in very little time. It uses sensible defaults, but has flexible options to allow for customization when needed. Better than most other free to use Chart APIs and has great documentation provided by Google.
Pro Supports multiple Y axes
Important for trend correlation, eg. comparing number of clicks to sale amounts. Not same scales / units.
Pro Open source integration
Report generation is open source and has integrations into the Python visualisation libraries
Pro Flexible report components
Has support for a lot of rich components (pivot table, drilldown, interactive maps, etc.) which allows some much more flexible reports
Pro Good for teams who use Python and SQL
Lets you do the typical BI and reporting bits in Python and SQL in your own environment
Pro API-first
You can use the API from your other data infrastructure (Colab, Jupyter, Sagemaker, etc.)
Cons
Con Cannot self-host
Google does not allow you to save or host the code yourself.
Con Not for teams who want drag-and-drop
Doesn't have a drag and drop component for building charts etc. - it expects you to do the analysis in Python and SQL.