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go-chart

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11
+ 1
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Lightweight Charts

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+ 1
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go-chart vs Lightweight Charts: What are the differences?

What is go-chart? Basic (1 or 2 axis) time-series graphs in Golang. go chart is a basic charting library in native golang.

What is Lightweight Charts? Financial charts built with HTML5 canvas. The library displays financial data as an interactive chart on your web page without affecting your web page loading speed and performance.

go-chart and Lightweight Charts can be primarily classified as "Charting Libraries" tools.

go-chart and Lightweight Charts are both open source tools. It seems that go-chart with 2.28K GitHub stars and 145 forks on GitHub has more adoption than Lightweight Charts with 607 GitHub stars and 53 GitHub forks.

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What is go-chart?

go chart is a basic charting library in native golang.

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.

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What tools integrate with go-chart?
What tools integrate with Lightweight Charts?
What are some alternatives to go-chart and Lightweight Charts?
D3.js
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Highcharts
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.
Matplotlib
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
Plotly.js
It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
See all alternatives