🆚 ApexCharts vs. Plotly.js
- 📈 ApexCharts is four times more popular than Plotly.js.
- 🌎 ApexCharts is more popular in the United States, the United Kingdom, and Germany.
- 🌍 Plotly.js is more popular in Sri Lanka and Slovenia.
Type
About
ApexCharts is an open-source JavaScript charting library for building interactive data visualizations in web applications with a declarative API and responsive SVG rendering.
It provides more than 20 chart types, real-time and synchronized charts, zooming and panning, annotations, export to SVG, PNG, and CSV, over 100 ready-to-use samples, tree-shaking for reduced bundle size, and integrations with React,
Vue,
Angular, and
Blazor.
Plotly.js is an open-source JavaScript charting library for interactive and scientific data visualizations with a declarative API and more than 40 chart types.
It supports 2D and 3D charts, statistical and financial graphs, SVG and WebGL rendering, geographic maps, animations, real-time updates, export to static image formats, and integrations with
React,
Angular,
Jupyter, and
Dash applications.
Headquarters
Pricing
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⭐ 8th most popular in India in the Charting category.
- ⭐ 9th most popular in the United States in the Charting category.
- 🔥 17th most popular in the United States in the Charting category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
See also
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,604,716 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.
CanvasJS