Hey everyone,
I recently came across a blog post that discusses rendering large datasets in Plotly Dash, specifically focusing on two main approaches: WebGL and the plotly-resampler library. It was quite interesting to learn that WebGL can speed up rendering for datasets with up to 200,000 data points, while plotly-resampler is great for dynamically aggregating larger datasets. The blog highlighted how using these methods can dramatically improve performance when visualizing complex datasets like a commercial flight dataset.
Iām eager to expand my understanding of these techniques, especially around practical use cases and any potential pitfalls. Has anyone used these methods in their projects? What are some best practices you would recommend?
Here are the links I found useful:
- Blog post on rendering large datasets
- WebGL documentation
- plotly-resampler repository
- LTTB downsampling algorithm
Looking forward to hearing your thoughts!