shiny-for-python

shiny-for-python is a Dashboards & data visualisation skill for AI agents, published by posit-dev in the py-shiny repository on GitHub. Skillspace rates shiny-for-python D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Building, styling, testing, debugging, or observing a Shiny for Python (py-shiny) reactive web app - `from shiny import ...`, `shiny run app.py`. Index skill: read this, then open the linked reference for the task. Covers dashboard design and visual QA; card toolbars and accessible icons; interactive Plotly charts and maps; reactivity (calc/effect/value/event/req/isolate); Express vs Core; modules; layout, navigation, dynamic UI, and theming; plots, data frames, files, and custom renderers; LLM chat and Markdown streaming; notifications, modals, progress, and background tasks; bookmarking; custom JS components; session lifecycle; in-memory server testing (`test_server`) and Playwright testing; debugging; and OpenTelemetry. Use when writing or changing any Shiny for Python app, especially an analytical dashboard, or when tempted to hand-roll what the framework provides - custom HTML tables, fake tabs, DOM manipulation, blocking reactive work, polling loops, or print-debugging server…

Grade

D

Quality

64 / 100

Safety

Passed

GitHub stars

1,749

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