# Visualizing large datasets

> Millions of points, big tables and high-dimensional data. 12 tools, ranked by GitHub stars.

Tools designed for data that overwhelms ordinary chart libraries: millions of points, very large tables and high-dimensional data, using GPU rendering, aggregation or dimensionality reduction.

| # | Tool | GitHub stars | Commits (12 mo) | License | Description |
|---:|---|---:|---:|---|---|
| 1 | [Apache ECharts](https://awesomedataviz.com/tools/echarts/) | 67,449 | 266 | Apache-2.0 | Highly customizable and interactive charts ready for big datasets. |
| 2 | [Deck.gl](https://awesomedataviz.com/tools/deck-gl/) | 14,623 | 418 | MIT | WebGL framework for visual exploratory data analysis of large datasets. |
| 3 | [Kepler.gl](https://awesomedataviz.com/tools/kepler-gl/) | 12,033 | 402 | MIT | Geospatial analysis tool for large-scale data sets. |
| 4 | [Potree](https://awesomedataviz.com/tools/potree/) | 5,628 | 1 | Other | WebGL point cloud viewer for large datasets such as LiDAR scans. |
| 5 | [L7](https://awesomedataviz.com/tools/l7/) | 4,070 | 112 | MIT | Large-scale WebGL-powered Geospatial Data Visualization analysis framework, maintained by Alibaba |
| 6 | [Datashader](https://awesomedataviz.com/tools/datashader/) | 3,562 | 48 | BSD-3-Clause | Renders very large datasets into accurate images by rasterizing them. |
| 7 | [ROOT](https://awesomedataviz.com/tools/root/) | 3,307 | 4,406 | Other | CERN framework for analyzing, storing and visualizing large scientific datasets. |
| 8 | [Dygraphs](https://awesomedataviz.com/tools/dygraphs/) | 3,243 | 54 | MIT | Interactive line charts library that works with huge datasets. |
| 9 | [Mosaic](https://awesomedataviz.com/tools/mosaic/) | 1,390 | 278 | BSD-3-Clause | Framework for linking databases such as DuckDB with interactive views to visualize large datasets. |
| 10 | [LargeVis](https://awesomedataviz.com/tools/largevis/) | 711 | 0 | Apache-2.0 | Implementation of the LargeVis paper, used to visualize large-scale and high-dimensional data. |
| 11 | [Squey](https://awesomedataviz.com/tools/squey/) | 23 | – | MIT | Visualization software for exploring and understanding large amounts of tabular data (using parallel coordinates, timeseries and scatter plots). |
| 12 | [gp-treemap](https://awesomedataviz.com/tools/gp-treemap/) | 10 | 184 | GPL-2.0 | Open source HTML canvas treemap component supporting millions of nodes, and some functional resource usage tools, like disk and S3 usage visualization (GrandPerspective-style) |

Source: https://awesomedataviz.com/topics/large-datasets/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).