
Shadcn Calendar Heatmap
A shadcn-based React component for creating customizable, unstyled calendar heatmaps. Visualize temporal data like streaks or weighted events effectively.

Shadcn Calendar Heatmap: Modern Data Visualization for React
Enhance your React applications with the Shadcn Calendar Heatmap, a contemporary alternative to basic heatmap components. This open-source tool, built on shadcn principles, offers an unstyled, highly customizable way to visualize data over time. It's perfect for displaying activity streaks, user engagement, or any temporal dataset, providing clear insights through an intuitive calendar interface. Easily integrate it into your Next.js or React projects for impactful data representation.
Features:
- Configurable Style Variants: Use the
variantClassnames
prop to define custom CSS classes for different data intensities or categories, allowing tailored visual feedback. - Explicit Date Grouping: Assign specific dates to visual variants directly using the
datesPerVariant
prop for fine-grained control over how data points are displayed. - Weighted Data Representation: Display data based on significance by providing
weightedDates
, an array of date objects with associated weights, which automatically map to style variants. - Shadcn UI Architecture: Developed as a shadcn-style component, offering an unstyled, customizable foundation that seamlessly integrates with modern UI theming.
- React & Next.js Friendly: Designed as a React component, facilitating straightforward embedding and use within React and Next.js applications.
- Flexible Data Input: Supports multiple methods for data input, including direct date assignments per variant and weighted date arrays, catering to diverse visualization needs.
Summary:
The Shadcn Calendar Heatmap is a React component designed for creating modern, customizable calendar-style heatmaps. It empowers developers to visually represent temporal data, such as activity levels or weighted events, using configurable style variants. By supporting different data input methods (specific dates per variant or weighted dates) and leveraging shadcn's unstyled approach, it offers a flexible solution for integrating insightful data visualizations into web applications, particularly those built with React and Next.js.

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