# vis-timeline

> Interactive timelines and 2D graphs with items and ranges, from the vis.js project.

- Category: [More JavaScript visualization libraries](https://awesomedataviz.com/categories/javascript-visualization-tools/)
- Website: https://visjs.github.io/vis-timeline/
- Repository: https://github.com/visjs/vis-timeline
- License: (Apache-2.0 OR MIT)
- Language: JavaScript
- Status: Active (commits in the last 90 days)
- GitHub stars: 2,565
- Commits in the last 12 months: 161
- Contributors: 180
- Last commit: Aug 22, 2026
- Latest release: v8.5.4 (Aug 12, 2026)
- Install (npm): `npm install vis-timeline`, 305.9K downloads per week
- Topics: Time series & real-time charts

## Overview

vis-timeline is an open-source JavaScript visualization library released under the (Apache-2.0 OR MIT) license. Its GitHub repository has 2,565 stars, 384 forks, and 180 contributors. It is actively developed with 161 commits in the last 12 months. The latest release, v8.5.4, was published on Aug 12, 2026. On npm it is downloaded about 305.9K 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-timeline/ · Data updated 2026-10-05 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).
