Welcome to the Shiny Side of LLMs! Large language models (LLMs) are everywhere, and we’re way beyond denying their existence. New use cases pop up every single day, from autocompleting code to customer support bots, summarisers, and tutors. And everybody feels the urge to jump in. Tools like ChatGPT, Claude, and GitHub Copilot have made us all comfortable using AI. But when it comes to building something that is tailored, interactive, and actually useful for others, it all starts to feel…...| Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.| Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.| Shiny
With the latest chromote release, you can stay up to date with Chrome or pin your scripts to a specific version of Chrome easily.| Shiny
Shiny Layouts for Different Screen Sizes Creating web applications that look good on any device is crucial. Shiny offers tools to make your dashboards responsive. In this post, we’ll explore how to use layout_columns() to tailor your app’s layout for desktops, tablets, and smartphones. The Problem: Default Layout Behavior When first starting with Shiny, developers might create UI elements without explicitly defining columns. Shiny’s default behavior is responsive in that it will stretch...| Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.| Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.| Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.| Shiny
Videos of posit::conf(2024) talks are now posted on YouTube. We have also made playlist of talks that are about building data driven applications with Shiny. Talks included in this playlist are as follows: Charlie Gao and Will Landau - {mirai} and {crew}: next-generation async to supercharge {promises}, Plumber, Shiny, and {targets} Eric Nantz - A New Era for Shiny-based Clinical Submissions using WebAssembly Marcin Dubel - Shiny in Action: Transforming Film Production with TARS Kiegan Rice -...| Shiny
Shiny for Python v1.2.0 is here! To celebrate, let’s highlight a big new feature of this release: integration with narwhals for @render.data_frame! 🐳🦄 In a follow up post, we’ll also highlight another new exciting feature: integration with brand new brand-yml package for theming. For a full list of all the changes in this release, check out the CHANGELOG. What is Shiny for Python? Shiny for Python is a framework that makes it easy to build interactive web applications using Python (...| Shiny
Shiny for Python is a framework that helps you create interactive web applications using Python. It features reactive programming, allowing developers to build dynamic user interfaces without having to write JavaScript or HTML. Writing end-to-end tests for your Shiny apps is essential to ensure the application works as intended from the user’s perspective. These tests identify issues in the user interface and interactions, ensuring a seamless experience. Install Shiny for Python To install ...| Shiny
Your browser does not support the video tag. Have you ever had an idea for a great web application with Shiny but felt something holding you back from getting started? Maybe it’s that you don’t know where to start, or that you don’t know which packages use to build the app, or maybe it’s just that you can’t muster the energy to get started. Sometimes you just need a little help to get unstuck. We’re excited to announce a new addition to the Shiny ecosystem that can help: Shiny Ass...| Shiny
Your browser does not support the video tag. It’s time for another Shiny for Python release! Not only does this release include a number of exciting features and big improvements, it’s also the release we’re choosing to call Shiny for Python v1.0. In this post, we’ll talk about what v1.0 means to us, and then get into the feast of new features we have for you! What does it mean to hit v1.0? New Chat() component End-to-end testing Data frame improvements Multimedia components Modules f...| Shiny
Customizable shinyswatch themes and an improved theme picker round out shinyswatch v0.7.0.| Shiny
The v1.0.0 release of the Shiny extension for VS Code now supports running both Shiny for Python and Shiny for R apps, as well as new ShinyLive features.| Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.| Shiny
Last month we introduced the Shiny for Python Components and Layouts galleries, which are a simple, visual overview of what Shiny can do mixed with cheatsheet-like information. They are for new and seasoned users alike. We’re excited to announce a third section which brings those two things together into opinionated boilerplate code: Shiny Templates. These will allow you to hit the ground running, whether you need a quick simple app or a quick complicated one 🙂. When making Shiny apps, w...| Shiny
An overview of recent Shiny for R updates, including extended tasks, JavaScript errors, and many bslib improvements.| Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.| Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.| Shiny