amCharts
amcharts.comamCharts provides JavaScript charting components, maps, stock charts, and Gantt charts.
Looking for something like ZingChart? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 2 are open source.
More than 50 chart types and modules are available in ZingChart, a JavaScript library for data visualization projects.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | amCharts | — | Not stated | Web |
| 2 | AnyChart | — | Not stated | Web |
| 3 | DataVizCatalogue | — | Not stated | Web |
| 4 | D3.js | — | Not stated | Web |
| 5 | High Charts | — | Not stated | Web |
| 6 | dc.js | — | Not stated | Web |
| 7 | Datawrapper utilities (GitHub) | Free | Yes | Web |
| 8 | QuickChart | — | Not stated | Web |
| 9 | matplotlib | — | Not stated | Web |
| 10 | altair | — | Not stated | Web |
amCharts provides JavaScript charting components, maps, stock charts, and Gantt charts.
Use AnyChart, a JavaScript charting library, with its chart types and API documentation.
The Data Visualisation Catalogue explains chart types and techniques, with a searchable library organized by visualization function.
For custom data visualizations in JavaScript, D3.js provides tools for scales, axes, transitions, and DOM updates.
Highcharts provides JavaScript charting for dashboards, maps, stock data, grids, and web applications.
Interactive charts for multidimensional datasets can be built with dc.js, a JavaScript library that supports Crossfilter.
This Datawrapper repository contains shared JavaScript utility functions for client-side data visualization, released under the MIT license.
QuickChart generates chart images through an API that can embed visualizations in emails, reports, and other platforms.
Matplotlib provides Python tools for creating plots and visualizations from data.
Vega-Altair provides declarative data visualization tools for Python applications.
Seaborn provides statistical data visualization tools and plotting functions for Python.
Apache Superset provides a community site for its open-source data visualization and exploration platform.
pygal provides Python tools for creating charts and visualizing data in applications.
RAWGraphs is a free, open-source tool for creating data visualizations.
Plotly provides an open-source Python library for creating interactive charts and data visualizations.
highcharter wraps the Highcharts JavaScript library for plotting R objects.
Flourish creates charts, maps, and interactive content for data storytelling without requiring coding.
Chart Builder creates charts from CSV or TSV data, including pie, bar, line, area, scatter, and donut charts.
Datawrapper creates interactive charts, maps, and tables in a web app without requiring code, according to its site.
Chart.js is an open-source JavaScript library for drawing charts on websites.
C3.js provides reusable charts for websites through a library built on D3.js.
A Day in the Life is an interactive visualization exploring New York City taxi activity.
Bar, line, area, and scatter charts can be created with dimple, an open-source charting API for D3.js.
Charts Builder creates and customizes charts through the Google Charts API, with output code available to copy.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative