People

Karan Gathani

kgathani

Karan Gathani

Posts and resources by Karan Gathani#

video

Old Apps, New Tricks: How AI can write Automated Tests for your Shiny Apps (Karan Gathani, Posit)

Old Apps, New Tricks: How AI can write Automated Tests for your Shiny Apps (Karan Gathani, Posit)

Old Apps, New Tricks: How AI can write Automated Tests for your Shiny Apps Speaker(s): Karan Gathani Abstract: As Shiny applications grow in complexity, comprehensive testing becomes crucial yet often overlooked. Many developers struggle to implement proper testing due to time constraints and technical barriers. To address this challenge, we're introducing an innovative solution that automatically generates regression tests for existing Shiny apps. By leveraging AI models trained on testing best practices, the Shiny package will streamline the testing process, making it more accessible and efficient for developers of all skill levels. Materials - https://docs.google.com/presentation/d/130bJNGp3XIlKPaouA8K0Lv0O3P7OFesW/edit?usp=sharing&ouid=105060716153365836674&rtpof=true&sd=true posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Karan Gathani

Nov 7, 2025

19 min

Shiny Posit::conf(2025) Rstats Python Data Science Data

video

Using controllers to write robust Shiny for Python app tests | Karan Gathani | Posit

Using controllers to write robust Shiny for Python app tests | Karan Gathani | Posit

With the Shiny for Python v1.0 release, controllers were exposed to provide a structured and consistent way for users to interact with and test UI components in Shiny applications. They offer an abstraction layer that encapsulates the complexity of interacting with specific UI elements, making it easier for developers to write robust tests and automate interactions with their Shiny apps. Reference documentation - https://shiny.posit.co/py/api/testing/ https://shiny.posit.co/py/docs/playwright-testing.html

Karan Gathani

Sep 19, 2024

10 min

Shiny for Python Shiny RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Rstats Open Source Oss Reticulate

video

Creating tests for Shiny for Python apps | Karan Gathani | Posit

Creating tests for Shiny for Python apps | Karan Gathani | Posit

With the Shiny for Python v1.0 release, Shiny provides a simple way to create a test file for your Shiny app. The shiny add test command is a helpful CLI tool for Shiny app developers. It simplifies the process of creating test files for their applications. When you run this command, it prompts you to input two pieces of information: the path to your Shiny app file and the desired location for the new test file. Once you provide these details, the command automatically generates a test file at the specified location. This new file includes a pre-made test template, giving you a solid starting point for writing your app's tests. Reference documentation - https://shiny.posit.co/py/docs/unit-testing.html https://shiny.posit.co/py/docs/playwright-testing.html

Karan Gathani

Sep 19, 2024

8 min

cli Shiny for Python Shiny RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education Rstats Open Source Oss Reticulate