# dxcharts-lite

> Flexible financial charting library based on HTML5 canvas.

- Category: [JavaScript charting libraries](https://awesomedataviz.com/categories/javascript-charting-libraries/)
- Website: https://devexperts.com/dxcharts/
- Repository: https://github.com/devexperts/dxcharts-lite
- License: MPL-2.0
- Language: TypeScript
- Status: Active (commits in the last 90 days)
- GitHub stars: 101
- Commits in the last 12 months: 3,699
- Contributors: 18
- Last commit: Sep 22, 2026
- Latest release: v2.7.37 (Sep 22, 2026)
- Install (npm): `npm install @devexperts/dxcharts-lite`, 8.5K downloads per week
- Topics: Financial & stock charts

## Overview

dxcharts-lite is an open-source JavaScript charting library released under the MPL-2.0 license. Its GitHub repository has 101 stars, 17 forks, and 18 contributors. It is actively developed with 3,699 commits in the last 12 months. The latest release, v2.7.37, was published on Sep 22, 2026. On npm it is downloaded about 8.5K times per week.

## Alternatives

- [Chart.js](https://awesomedataviz.com/tools/chart-js/): Charts with the canvas tag. (67.7K stars)
- [Apache ECharts](https://awesomedataviz.com/tools/echarts/): Highly customizable and interactive charts ready for big datasets. (67.4K stars)
- [Plotly.js](https://awesomedataviz.com/tools/plotly-js/): Powerful declarative library with support for 20 chart types. (18.4K stars)
- [Lightweight Charts](https://awesomedataviz.com/tools/lightweight-charts/): Performant HTML5 canvas financial charts, from TradingView. (17.5K stars)
- [ApexCharts](https://awesomedataviz.com/tools/apexcharts/): Modern & Interactive SVG Charts. (15.2K stars)
- [Frappe Charts](https://awesomedataviz.com/tools/frappe-charts/): Simple, responsive SVG charts with zero dependencies. (15.1K stars)

## Comparisons

- [dxcharts-lite vs Lightweight Charts](https://awesomedataviz.com/compare/dxcharts-lite-vs-lightweight-charts/)

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