A `validate=False` an option for `graph_objects` and `px` Figures?

There’s already an issue outlining the effects graph_object validation has on plot generation time. Users can bypass this performance hit by replacing the graph_objects with dict and then display the plot with plotly.offline.iplot(fig, validate=False) or if they are creating graphs in Dash, they can forgo the plotly.py library altogether and just use a dict in their Graph component’s figure argument.

This solution can greatly improve the performance of Dash apps but it means that Dash users with expensive graphs have to choose between using px/plotly.py’s update methods and optimally fast code.

I wonder if a way to turn off validation, especially in Dash apps, would help Dash users get the best of both worlds.

cc @matthewchan15

[alexcjohnson]

I like the idea of a three-level approach: full validation (current behavior), top-level validation (don’t dig into data arrays or nested objects like GeoJSON), and no validation.

[ndrezn]

(cc @red-patience / @LiamConnors on that last point maybe)