High Charts
highcharts.comHighcharts provides JavaScript charting for dashboards, maps, stock data, grids, and web applications.
Looking for something like highcharter? 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 6 are open source.
highcharter wraps the Highcharts JavaScript library for plotting R objects.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | High Charts | — | Not stated | Web |
| 2 | Seaborn | — | Not stated | Web |
| 3 | AnyChart | — | Not stated | Web |
| 4 | ZingChart | — | Not stated | Web |
| 5 | dc.js | — | Not stated | Web |
| 6 | D3.js | — | Not stated | Web |
| 7 | amCharts | — | Not stated | Web |
| 8 | Datawrapper | — | Not stated | Web |
| 9 | chartjs | — | Not stated | Web |
| 10 | Datawrapper utilities (GitHub) | Free | Yes | Web |
Highcharts provides JavaScript charting for dashboards, maps, stock data, grids, and web applications.
Seaborn provides statistical data visualization tools and plotting functions for Python.
Use AnyChart, a JavaScript charting library, with its chart types and API documentation.
More than 50 chart types and modules are available in ZingChart, a JavaScript library for data visualization projects.
Interactive charts for multidimensional datasets can be built with dc.js, a JavaScript library that supports Crossfilter.
For custom data visualizations in JavaScript, D3.js provides tools for scales, axes, transitions, and DOM updates.
amCharts provides JavaScript charting components, maps, stock charts, and Gantt 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.
This Datawrapper repository contains shared JavaScript utility functions for client-side data visualization, released under the MIT license.
C3.js provides reusable charts for websites through a library built on D3.js.
Leaflet supports interactive maps in JavaScript and can be used from R applications.
The bqplot project provides plotting tools for IPython and Jupyter notebook environments.
ipychart brings Chart.js plotting capabilities to Python and notebook workflows.
Gadfly provides statistical graphics and plotting tools for the Julia programming language.
Hanami provides interactive plotting and charting with ClojureScript and Vega.
teeplot organizes visualization output and names files based on semantic plotting variables.
pygal provides Python tools for creating charts and visualizing data in applications.
Bar, line, area, and scatter charts can be created with dimple, an open-source charting API for D3.js.
QuickChart generates chart images through an API that can embed visualizations in emails, reports, and other platforms.
Vega-Altair provides declarative data visualization tools for Python applications.
Charts Builder creates and customizes charts through the Google Charts API, with output code available to copy.
A Day in the Life is an interactive visualization exploring New York City taxi activity.
Matplotlib provides Python tools for creating plots and visualizations from data.
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