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Lightweight Charts

Financial charts built with HTML5 canvas
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What is Lightweight Charts?

The library displays financial data as an interactive chart on your web page without affecting your web page loading speed and performance.
Lightweight Charts is a tool in the Charting Libraries category of a tech stack.
Lightweight Charts is an open source tool with 1.3K GitHub stars and 167 GitHub forks. Here’s a link to Lightweight Charts's open source repository on GitHub

Who uses Lightweight Charts?


Lightweight Charts Integrations

Why developers like Lightweight Charts?

Here’s a list of reasons why companies and developers use Lightweight Charts
Top Reasons

Lightweight Charts's Features

  • Open source
  • Responsive across devices
  • Touch-optimized
  • Zoom through scales
  • Mouse-wheel zoom
  • Chart scroll
  • Candlesticks & Bars
  • Baseline
  • Several price series overlay
  • Custom S/M/H/D/W/Mo/Y
  • Custom chart colors

Lightweight Charts Alternatives & Comparisons

What are some alternatives to Lightweight Charts?
It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.
Plotly.js is the only open-source JavaScript library for data visualization in the sciences and engineering. Open-source interfaces to Plotly.js are available for Python, R, MATLAB, and React.
See all alternatives

Lightweight Charts's Followers
5 developers follow Lightweight Charts to keep up with related blogs and decisions.
César García-Osorio
Nicolas Marshall
B Raphael