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.

By GitHub stars, the most popular large-data visualization tools here are Apache ECharts (67.4K stars), Deck.gl (14.6K stars), and Kepler.gl (12K stars). 9 of 12 had commits in the last 90 days.

Visualizing large datasets, ranked by GitHub stars
1 Apache ECharts

Highly customizable and interactive charts ready for big datasets.

JS charting 67.4K 266 Apache-2.0
2 Deck.gl

WebGL framework for visual exploratory data analysis of large datasets.

JS maps 14.6K 418 MIT
3 Kepler.gl

Geospatial analysis tool for large-scale data sets.

Apps & tools 12K 402 MIT
4 Potree

WebGL point cloud viewer for large datasets such as LiDAR scans.

JS maps 5.6K 1 Other
5 L7

Large-scale WebGL-powered Geospatial Data Visualization analysis framework, maintained by Alibaba

JS maps 4.1K 112 MIT
6 Datashader

Renders very large datasets into accurate images by rasterizing them.

Python 3.6K 48 BSD-3-Clause
7 ROOT

CERN framework for analyzing, storing and visualizing large scientific datasets.

C++ 3.3K 4,406 Other
8 Dygraphs

Interactive line charts library that works with huge datasets.

JS charting 3.2K 54 MIT
9 Mosaic

Framework for linking databases such as DuckDB with interactive views to visualize large datasets.

More JavaScript 1.4K 278 BSD-3-Clause
10 LargeVis Inactive

Implementation of the LargeVis paper, used to visualize large-scale and high-dimensional data.

C++ 711 0 Apache-2.0
11 Squey

Visualization software for exploring and understanding large amounts of tabular data (using parallel coordinates, timeseries and scatter plots).

Apps & tools 23 – MIT
12 gp-treemap

Open source HTML canvas treemap component supporting millions of nodes, and some functional resource usage tools, like disk and S3 usage visualization (GrandPerspective-style)

More JavaScript 10 184 GPL-2.0

Head-to-head comparisons

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Frequently asked questions

What is the most popular large-data visualization tool?

By GitHub stars, Apache ECharts is the most popular, with 67.4K stars, followed by Deck.gl (14.6K) and Kepler.gl (12K).

Which large-data visualization tools are actively maintained?

11 of the 12 tools listed had commits in the last 12 months, including Apache ECharts, Deck.gl, Kepler.gl, Potree, and L7. Each tool page shows monthly commit activity.

Are these large-data visualization tools free and open source?

10 of the 12 tools listed use an OSI-approved open-source license; the others are source-available, free to use, or use a custom license, so check each tool page. The most common license here is MIT.

Missing a tool? Add it with a one-line pull request to the README.