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January 5, 20268 min readReplay AI for

Replay AI for building internal dashboards with customizable charts and data tables

R
Replay Team
Developer Advocates

TL;DR: Replay AI accelerates internal dashboard development by transforming video recordings of desired dashboard functionality into working, customizable code with charts and data tables.

Building internal dashboards can be a significant time sink. Manually coding UI elements, connecting data sources, and ensuring a smooth user experience often stretches timelines and consumes valuable developer resources. What if you could simply show the system what you want, and have it generate the code for you? That's the power of Replay.

Replay: From Video to Functional Dashboard Code#

Replay is a revolutionary video-to-code engine that uses AI to reconstruct working UI from screen recordings. Unlike traditional screenshot-to-code tools, Replay understands behavior. It analyzes the video to discern user intent and create functional components, not just static visuals. This "Behavior-Driven Reconstruction" approach makes Replay uniquely suited for building complex, interactive dashboards.

This blog post will guide you through how Replay can be leveraged to quickly create internal dashboards, complete with customizable charts and data tables, significantly reducing development time.

Why Video is Superior: Understanding User Intent#

The fundamental difference between Replay and other code generation tools lies in its video input. Screenshots provide a visual snapshot, but they lack crucial information about user interaction and workflow. Video, on the other hand, captures the dynamic aspects of a user's vision for the dashboard.

Replay analyzes:

  • Click sequences: Understanding the order in which elements are interacted with.
  • Data entry: Identifying input fields and expected data types.
  • Scrolling and navigation: Mapping out multi-page layouts and user flows.
  • Hover states and animations: Replicating subtle UI enhancements.

This comprehensive understanding of user behavior allows Replay to generate more accurate, functional, and user-friendly dashboard code.

Building Dashboards with Replay: A Step-by-Step Guide#

Let's walk through a practical example of using Replay to build an internal dashboard with customizable charts and data tables.

Step 1: Recording the Dashboard Workflow#

The first step is to record a video demonstrating the desired dashboard functionality. This involves:

  1. Planning the Dashboard: Decide on the key metrics, data visualizations, and interactive elements you want to include.
  2. Simulating User Interaction: Use a whiteboard, mockup, or existing application to demonstrate the desired workflow. For instance, show how a user would filter data in a table, select a date range for a chart, or navigate between different dashboard views.
  3. Recording the Video: Use a screen recording tool (like Loom, or even QuickTime) to capture the demonstration. Speak clearly and deliberately, explaining each action as you perform it.

💡 Pro Tip: The clearer and more structured your video, the better Replay will understand your intent and the more accurate the generated code will be. Focus on demonstrating the behavior you want the dashboard to exhibit.

Step 2: Uploading to Replay and Generating Code#

  1. Upload the Video: Upload the recorded video to the Replay platform.
  2. Configure Settings: Specify the target framework (e.g., React, Vue.js) and desired output format (e.g., TypeScript, JavaScript).
  3. Generate Code: Click the "Generate Code" button and let Replay work its magic.

Replay will analyze the video and generate a working codebase, including:

  • UI components (buttons, tables, charts, etc.)
  • Data fetching logic (connecting to your data source)
  • Event handlers (responding to user interactions)
  • Styling (basic CSS to match the visual appearance of the video)

⚠️ Warning: The initial code generated by Replay may require some manual adjustments. It's a starting point, not a finished product. Expect to refine the styling, optimize data fetching, and add custom logic as needed.

Step 3: Integrating with Supabase (or Your Data Source)#

Replay offers seamless integration with Supabase, a popular open-source Firebase alternative. This allows you to quickly connect your dashboard to a database and display real-time data.

If you're using Supabase:

  1. Configure Supabase: Set up your Supabase project and create the necessary tables.
  2. Connect to Replay: Provide your Supabase API key and URL to Replay.
  3. Map Data Fields: Use Replay's UI to map the data fields from your Supabase tables to the corresponding components in your dashboard.

If you're using a different data source (e.g., REST API, GraphQL):

  1. Implement Data Fetching: Modify the generated code to fetch data from your API endpoint.
  2. Update Component Props: Pass the fetched data as props to the relevant UI components (e.g., the data table or chart).

Here's an example of fetching data from a REST API using

text
fetch
and updating a React component:

typescript
// Example of fetching data and updating a React component import React, { useState, useEffect } from 'react'; interface DataItem { id: number; name: string; value: number; } const MyComponent: React.FC = () => { const [data, setData] = useState<DataItem[]>([]); useEffect(() => { const fetchData = async () => { const response = await fetch('/api/data'); // Replace with your API endpoint const jsonData = await response.json(); setData(jsonData); }; fetchData(); }, []); return ( <div> {data.map(item => ( <div key={item.id}> {item.name}: {item.value} </div> ))} </div> ); }; export default MyComponent;

Step 4: Customizing Charts and Data Tables#

Replay generates basic charts and data tables based on the video analysis. However, you'll likely want to customize these components to meet your specific needs.

For charts, you can use popular charting libraries like:

  • Chart.js: A simple and flexible JavaScript charting library.
  • Recharts: A composable charting library built on React components.
  • Nivo: A rich set of data visualization components for React.

For data tables, you can use libraries like:

  • React Table: A headless UI for building powerful and customizable tables.
  • Material UI Data Grid: A feature-rich data grid component from Material UI.
  • Ant Design Table: A customizable table component from Ant Design.

Modify the generated code to integrate these libraries and customize the chart and table properties (e.g., chart type, colors, column headers, sorting, filtering).

📝 Note: Replay's style injection feature allows you to apply custom CSS styles to the generated components, ensuring that your dashboard matches your brand guidelines.

Replay vs. Traditional Development and Other Tools#

Let's compare Replay with traditional dashboard development methods and other code generation tools:

FeatureTraditional DevelopmentScreenshot-to-CodeReplay
Development SpeedSlowMediumFast
Learning CurveHighLowMedium
AccuracyHighLowMedium-High
Understanding User IntentHigh (Requires detailed specifications)Low (Static image)High (Video analysis)
Code QualityHigh (Depends on developer skill)Low (Often requires significant rework)Medium (Requires some refinement)
Support for Dynamic BehaviorHighLowHigh
Data IntegrationManualManualSemi-Automated (Supabase Integration)
Video Input
Behavior AnalysisPartial
Multi-page Generation

As you can see, Replay offers a compelling balance between speed, accuracy, and flexibility. It's particularly well-suited for projects where understanding user intent and replicating dynamic behavior are crucial.

Addressing Common Concerns#

  • Code Quality: The code generated by Replay is a starting point, not a finished product. Expect to refine the styling, optimize data fetching, and add custom logic. However, it significantly reduces the amount of boilerplate code you need to write.
  • Accuracy: The accuracy of the generated code depends on the clarity and structure of the video. Clearer videos result in more accurate code.
  • Customization: Replay provides a solid foundation for building dashboards, but you'll still need to customize the components to meet your specific needs. The generated code is easily modifiable, allowing you to integrate with your existing codebase and preferred libraries.

Frequently Asked Questions#

Is Replay free to use?#

Replay offers a free tier with limited usage. Paid plans are available for increased usage and access to advanced features. Check the Replay website for the latest pricing information.

How is Replay different from v0.dev?#

While both tools aim to accelerate UI development, Replay distinguishes itself through its video-to-code engine that captures user behavior and intent. v0.dev primarily relies on text prompts and AI to generate UI components, lacking the nuanced understanding of user interaction that Replay provides. Replay excels in scenarios where replicating specific workflows and user experiences is paramount.

What frameworks does Replay support?#

Replay currently supports React, Vue.js, and HTML. Support for other frameworks is planned for future releases.

What types of charts and data tables can Replay generate?#

Replay can generate a wide variety of charts and data tables, including line charts, bar charts, pie charts, scatter plots, and tabular data displays. The specific types of charts and tables that can be generated depend on the video analysis and the available data.


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