XTabulator

XTabulator

XTabulator is an open-source JavaScript data grid library for building interactive tables and data visualizations. It allows developers to display and manipulate tabular data with features like sorting, filtering, and aggregation.
data-grid table visualization javascript

XTabulator: Open-Source JavaScript Data Grid Library

Build interactive tables and data visualizations with XTabulator, an open-source JavaScript library featuring sorting, filtering, and aggregation capabilities.

What is XTabulator?

XTabulator is an open source JavaScript library that allows you to easily create interactive tables and data grids for displaying tabular data. Some key features of XTabulator include:

  • Sorting, filtering, and pagination of data
  • Custom cell formatting and styling
  • Aggregation of data (sums, averages, etc.)
  • Exporting data to CSV, Excel, etc.
  • Virtualization for handling large data sets
  • Customizable layouts and themes
  • Grouping and pivot functionality
  • Compatible with major JavaScript frameworks like React, Angular, and Vue

XTabulator provides a lightweight and flexible alternative to heavier data grid components. It has no external dependencies, meaning it can be easily integrated into any project without conflicts. The modular architecture allows developers to only load the features they need, optimizing page load times.

With strong community support and comprehensive documentation, XTabulator makes displaying complex data quick and simple. Its wide array of features combined with customizability makes it a popular choice for developers building admin dashboards, analysis tools, or any application requiring tabular data visualizations.

XTabulator Features

Features

  1. Display tabular data
  2. Sorting
  3. Filtering
  4. Aggregation
  5. Resizable columns
  6. Reorderable columns
  7. Editable cells
  8. Custom cell formatting
  9. Row selection
  10. Pagination

Pricing

  • Open Source

Pros

Open source

Customizable

Good documentation

Active community support

Lightweight

Good performance with large datasets

Cons

Steep learning curve

Less features than commercial alternatives

Limited built-in charting capabilities

Formatting can be tricky


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