Thanks John. The direct comparison using the same dataset across all five frameworks really helps. Seeing how each one handles the exact same line chart makes it easy to spot differences in syntax, layout control, and overall ease of use. It’s a practical way to show strengths without needing to dig through docs.
The quick breakdown of each tool's pros and cons is also handy. Knowing, for instance, that Streamlit is good for fast prototyping but falls short on deeper interactivity, or that Dash gives more control but takes more setup, saves a lot of trial and error.
Showing how each framework integrates with Plotly is another highlight. That level of interactivity often matters more than people realise, especially when building charts that need to respond to user input.
Would’ve been good to also see a brief comparison on how each one performs with bigger datasets or heavier interactions. Something like responsiveness or memory usage under load would add more context, especially for dashboards meant to be shared or deployed. A great post, anyway.
Hi there, Thank you for the comments and for the feedback. I think you're right about larger datasets and heavier interactions. I think the topics you are suggesting are at least another standalone article or two. :-)
Thanks John. The direct comparison using the same dataset across all five frameworks really helps. Seeing how each one handles the exact same line chart makes it easy to spot differences in syntax, layout control, and overall ease of use. It’s a practical way to show strengths without needing to dig through docs.
The quick breakdown of each tool's pros and cons is also handy. Knowing, for instance, that Streamlit is good for fast prototyping but falls short on deeper interactivity, or that Dash gives more control but takes more setup, saves a lot of trial and error.
Showing how each framework integrates with Plotly is another highlight. That level of interactivity often matters more than people realise, especially when building charts that need to respond to user input.
Would’ve been good to also see a brief comparison on how each one performs with bigger datasets or heavier interactions. Something like responsiveness or memory usage under load would add more context, especially for dashboards meant to be shared or deployed. A great post, anyway.
Hi there, Thank you for the comments and for the feedback. I think you're right about larger datasets and heavier interactions. I think the topics you are suggesting are at least another standalone article or two. :-)