AI BriefingStreamlining Data Application Workflows for Web Developers
Key point
Devsisters improved the performance and maintainability of its data app by separating Dash framework callbacks by role and introducing Mixins.
Details
Devsisters built its own data visualization service by adopting Dash, which is friendly to both data engineers and web developers. Dash has the advantage of strong compatibility with Plotly.js and the ability to integrate with React components.
The existing single-callback structure caused logic to become bloated and led to performance degradation, as data had to be re-queried every time even for simple view changes. To solve this, the callback was redesigned by splitting it into three areas: FetchProvider (data loading), TransformProvider (data processing), and RenderProvider (chart generation).
Through this structure, DB load was reduced by reusing data stored in the browser, and gzip and br compression were applied to reduce data transfer size to about 1/5. In addition, by leveraging the Mixin pattern to modularize chart generation logic, code reusability and the maintainability of the design system were improved.
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