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Merge pull request #56 from nanxstats/appsilon
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Add extensions from Appsilon
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nanxstats authored Aug 6, 2024
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- [Shiny for Python](#shiny-for-python)
- [Python - Theming](#python---theming)
- [Python - UI Components](#python---ui-components)
- [Python - Frameworks](#python---frameworks)
- [Python - Deploy](#python---deploy)
- [Python - Persistent Data Storage](#python---persistent-data-storage)

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- [shinythemes](https://github.com/rstudio/shinythemes) - Bootswatch themes (Bootstrap 3) for Shiny.
- [shiny.semantic](https://github.com/Appsilon/shiny.semantic) - Fomantic UI (formerly Semantic UI) for Shiny.
- [shiny.fluent](https://github.com/Appsilon/shiny.fluent) - Fluent UI for Shiny apps.
- [shiny.blueprint](https://github.com/Appsilon/shiny.blueprint) - Palantir's Blueprint for Shiny apps.
- [shinymaterial](https://github.com/ericrayanderson/shinymaterial) - Material Design for Shiny with Materialize.css.
- [shinyUIkit](https://github.com/RinteRface/shinyUIkit) - UIkit API for Shiny.
- [fullPage](https://github.com/RinteRface/fullPage) - Single page styles for Shiny apps.
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- [algo](https://github.com/feddelegrand7/algo) - Implements the Algolia Places address search auto completion menu on shiny text inputs.
- [shinyChakraSlider](https://github.com/stla/shinyChakraSlider) - Combined slider and number input for Shiny.
- [histoslider](https://github.com/cpsievert/histoslider) - A histogram slider input binding for Shiny. Supports creating histograms from numeric, date, and date-time vectors.
- [shinynlq](https://github.com/Appsilon/shinynlq) - Natural language queries (NLQs) for Shiny as a bslib custom component.
- [shinyMultiActionButton](https://github.com/stla/shinyMultiActionButton) - A multi-action button for Shiny.
- [NestedMenu](https://github.com/stla/NestedMenu) - Multi-level dropdown menu selection input.
- [codeModules](https://github.com/statistikat/codeModules) - Shiny modules to import/manipulate/export tabular data, download plots/tables/widgets, and output code with syntax highlighting using highlight.js.
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- [shinycssloaders](https://github.com/daattali/shinycssloaders) - CSS loader animations for Shiny outputs.
- [shinycustomloader](https://github.com/emitanaka/shinycustomloader) - Custom css/html or gif/image loaders for Shiny outputs.
- [shinybusy](https://github.com/dreamRs/shinybusy) - Minimal busy indicator for Shiny apps.
- [shiny.emptystate](https://github.com/Appsilon/shiny.emptystate) - Empty state components for Shiny.
- [shinydisconnect](https://github.com/daattali/shinydisconnect) - Show a nice message when a Shiny app disconnects or errors.
- [waiter](https://github.com/JohnCoene/waiter) - Splash loading screens for Shiny.
- [sever](https://github.com/JohnCoene/sever) - Customize Shiny's disconnected screen.
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- [igvR](https://github.com/gladkia/igvR) - R package providing interactive connections to igv.js running in a web browser.
- [igvShiny](https://github.com/gladkia/igvShiny) - HTML widget for igv.js, a JavaScript library for embeddable genomic visualization.
- [nglShiny](https://github.com/paul-shannon/nglShiny) - NGL Viewer as an htmlwidget for molecular visualization.
- [shiny.molstar](https://github.com/Appsilon/shiny.molstar) - Shiny wrapper for Mol*, a visualization toolkit of large scale molecular data.
- [msaR](https://github.com/zachcp/msaR) - BioJS-based MSA (multiple sequence alignment) viewer.
- [shiny.gosling](https://github.com/Appsilon/shiny.gosling) - Shiny wrapper for Gosling.js, grammar-based toolkit for scalable and interactive genomics data visualization.
- [TnT](https://github.com/Marlin-Na/TnT) - Track-based visulizations based on the TnT JavaScript libraries. Useful for displaying genomic features as a simple genome browser.
- [mutsneedle](https://github.com/freezecoder/mutsneedle) - Interactive mutation lollipop diagrams.
- [g3viz](https://github.com/G3viz/g3viz) - D3-based interactive lollipop plots.
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- [profvis](https://github.com/r-lib/profvis) - Interactive visualizations for profiling R code. [Profiling Shiny apps](https://r-lib.github.io/profvis/examples.html#example-3---profiling-a-shiny-application).
- [shiny.benchmark](https://github.com/Appsilon/shiny.benchmark) - Measure and compare the performance of different versions of a Shiny application.
- [shiny.info](https://github.com/Appsilon/shiny.info) - Displays simple diagnostic information of the Shiny project in the user interface of the app.
- [shiny.tictoc](https://github.com/Appsilon/shiny.tictoc) - Measure Shiny app performance in the browser.

### Scaling

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### Monitoring and Analytics

- [shiny.telemetry](https://github.com/Appsilon/shiny.telemetry) - Track events occurring on a user session and stores them in a local or remote database.
- [shinymetrics](https://github.com/devOpifex/shinymetrics) - Track shiny applications with Shinymetrics, providing analytics and telemetry for Shiny applications.
- [titan](https://github.com/devOpifex/titan) - Prometheus monitoring for Shiny applications, plumber APIs, and other R web services.
- [openmetrics](https://github.com/atheriel/openmetrics) - An opinionated Prometheus client for R conforming to the OpenMetrics standard.
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- [py-shinywidgets](https://github.com/posit-dev/py-shinywidgets) - Render ipywidgets inside a Shiny app.
- [py_shiny_semantic](https://github.com/Appsilon/py_shiny_semantic) - Create rich web applications in PyShiny using styles and components from Fomantic UI.

### Python - Frameworks

- [Tapyr](https://github.com/Appsilon/tapyr-template) - Shiny for Python application template.

### Python - Deploy

- [py-shinylive](https://github.com/posit-dev/py-shinylive) - Export Shiny applications as Shinylive applications.
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