# Vis.js

> A dynamic visualization library including timeline, networks and graphs (2D and 3D).

- Category: [More JavaScript visualization libraries](https://awesomedataviz.com/categories/javascript-visualization-tools/)
- Website: https://visjs.org/
- Repository: https://github.com/visjs/vis-network
- License: Apache-2.0
- Language: JavaScript
- Status: Active (commits in the last 90 days)
- GitHub stars: 3,632
- Commits in the last 12 months: 246
- Contributors: 127
- Last commit: Sep 13, 2026
- Latest release: v10.1.2 (Aug 19, 2026)
- Install (npm): `npm install vis-network`, 974.5K downloads per week
- Topics: Graph & network visualization, Time series & real-time charts

## Overview

Vis.js is an open-source JavaScript visualization library released under the Apache-2.0 license. Its GitHub repository has 3,632 stars, 413 forks, and 127 contributors. It is actively developed with 246 commits in the last 12 months. The latest release, v10.1.2, was published on Aug 19, 2026. On npm it is downloaded about 974.5K times per week.

## Alternatives

- [blessed-contrib](https://awesomedataviz.com/tools/blessed-contrib/): Terminal dashboards with charts, maps, gauges and tables, built with Node.js and ASCII/ANSI art. (15.8K stars)
- [Vega](https://awesomedataviz.com/tools/vega/): Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. (12K stars)
- [Perspective](https://awesomedataviz.com/tools/perspective/): Interactive analytics and visualization component for large and streaming datasets, built on WebAssembly. (11.3K stars)
- [vue-echarts](https://awesomedataviz.com/tools/vue-echarts/): Vue.js component for Apache ECharts. (10.8K stars)
- [Textures.js](https://awesomedataviz.com/tools/textures-js/): A library to create SVG patterns. (6.1K stars)
- [vue-chartjs](https://awesomedataviz.com/tools/vue-chartjs/): Vue.js wrapper for Chart.js. (5.7K stars)

Source: https://awesomedataviz.com/tools/vis-js/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).
