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Add static export functionality using WebDriver to control a host
browser.
- allow user to reuse the exporter object but also keep the old style
Kaleido API
- allow user to set browser capabilities via setter
- allow user to configure html2pdf timeout
- use data uri for CDN case and file for offline case when generating the html for static image export
- there are size restrictions when using data-uri , webdriver cannot load large data-uri
files, so for offline mode, default to using html returned by to_file
- use build.rs to download webdriver chromedriver/geckodriver
- contains documentation and add example for plotly_static
- include an example on how to use static export for json data
- refactored usage of imageformat between packages: plotly,
plotly_kaleido, plotly_static
- the new static export is included in the plotly crate as default and kaleido is marked as
deprecated using deprecation warnings
- added custom CI setup for Windows as Windows GitHub Action with Chrome setup is unique
- expand ci with Firefox + Ubuntu for plotly_static
- add ci step for publishing plotly_static
Signed-off-by: Andrei Gherghescu <8067229+andrei-ng@users.noreply.github.com>
Signed-off-by: Andrei Gherghescu <8067229+andrei-ng@users.noreply.github.com>
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This was referenced Jul 7, 2025
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The latest release of Kaleido in https://github.com/plotly/Kaleido is now a purely Python app that drives Chrome via the DevTools Protocol (CDP) based on Chorepgrapher. This doesn't fit with the rationale of this Rust crate.
This PR introudces a different approach based on a similar phylosophy as Choreographer, by driving browsers using WebDriver. This PR introduces similar methods as the ones in the
plotly_kaleidocrate to export static images using either geckodriver + Firefox or chromedriver + Chrome/Chromium.This new pacakge can also be used standalone, outside the plotly.rs usecase, to export Plotly plots from JSON values to static images.
Note that EPS is no longer supported (and in fact it either never worked with Kaleido since long ago or it always required a token for export as EPS and PDF are not open plotly features)