Optimize app speed

[alyssadai]

Even though the dashboard is now hosted on our cloud server instead of a third-party platform, there is still some noticeable delay when loading and exploring large input tables.

Here are some potential ways to improve the performance:

Ref: https://community.plotly.com/t/slow-rendering-of-large-tables/41596/4

• virtualization=True or pagination (currently employed)
• set debug=False

Ref: https://community.plotly.com/t/slow-load-time-on-dataset/75798/2

• use Patch() to update figs
• part of partial property updates, see also https://dash.plotly.com/partial-properties

Ref: https://community.plotly.com/t/show-and-tell-server-side-caching/42854

• Depends on dash-extensions
• Server-side caching for stores 👀
  • also allows you to use a dataframe directly!!

Refs:

• https://community.plotly.com/t/dash-ag-grid-update-2-0-0rc1-pre-release-is-now-available/73515/50
• https://community.plotly.com/t/dash-ag-grid-open-source/72352 -> dash-ag-grid

Ref: https://community.plotly.com/t/slow-noticeable-callback-execution-when-updating-multiple-graphs/16739

• using multiple gunicorn workers

Ref: https://community.plotly.com/t/uploading-relatively-small-files-is-taking-too-long-in-dash-plotly/32785/6

• storing + accessing uploaded file contents to a file on the server (rather than using contents as input in callback)

Ref: https://community.plotly.com/t/handling-a-large-csv-file-with-dash-datatable/72428/3

• convert CSV into parquet file first? 🤔

polars instead of pandas?

See also

https://dash.plotly.com/performance https://dash.plotly.com/dash-enterprise/scale?de-version=5.2 https://strange-quark.medium.com/improving-performance-of-python-dash-dashboards-54547d68f86b

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