Large Datasets
Showing 13 of 13 projects
A WebGL2/WebGPU-powered framework for high-performance, large-scale data visualization in the browser.
A powerful open-source web application for visual exploration and analysis of large-scale geospatial data sets.
A tiny vanilla JavaScript plugin for displaying large datasets efficiently by dynamically rendering only visible rows.
A free, open-source WebGL-based point cloud renderer for visualizing massive datasets directly in web browsers.
A WebGPU-accelerated TypeScript charting library for rendering millions of data points at 60 FPS with interactive dashboards.
A high-performance open-source data table library for web applications, optimized for speed and large datasets.
A Python library that adds dynamic data aggregation to Plotly figures for scalable visualization of large time series.
An open-source Java framework for rapid development of machine learning and statistical applications with large dataset support.
A high-performance drop-in replacement for Flutter's SliverList and ListView that handles massive lists with variable item sizes and reliable item jumping.
A Ruby gem for quickly getting approximate row counts for large database tables with >99% accuracy for PostgreSQL.
A C++ neural network library for Node.js optimized for large datasets and multi-threaded training.
A Preact component that renders only visible rows from large datasets, supporting millions of items.
A Python library for building lazy data processing and machine learning workflows that handle datasets larger than memory.
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