ParaView
paraview.orgParaView analyzes and visualizes data across settings ranging from laptops to supercomputers, according to its project site.
Looking for something like D3.js? 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 5 are open source.
For custom data visualizations in JavaScript, D3.js provides tools for scales, axes, transitions, and DOM updates.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | ParaView | — | Not stated | Web |
| 2 | histogrammaker | — | Not stated | Web |
| 3 | plotly | — | Not stated | Web |
| 4 | Superset | — | Yes | — |
| 5 | Lux | — | Yes | — |
| 6 | ipychart | — | Yes | — |
| 7 | ZingChart | — | Not stated | Web |
| 8 | High Charts | — | Not stated | Web |
| 9 | Rawgraphs App | — | Yes | — |
| 10 | Datawrapper utilities (GitHub) | Free | Yes | Web |
ParaView analyzes and visualizes data across settings ranging from laptops to supercomputers, according to its project site.
Histogram Maker creates customizable histograms from entered values or imported CSV and Excel data, with image download options.
Plotly provides an open-source Python library for creating interactive charts and data visualizations.
Apache Superset is an open-source platform for data visualization and exploration.
Lux automatically visualizes Pandas DataFrames to support data exploration.
ipychart brings Chart.js plotting capabilities to Python and notebook workflows.
More than 50 chart types and modules are available in ZingChart, a JavaScript library for data visualization projects.
Highcharts provides JavaScript charting for dashboards, maps, stock data, grids, and web applications.
RAWGraphs App provides a web interface for creating custom vector-based visualizations with the RAWGraphs core.
This Datawrapper repository contains shared JavaScript utility functions for client-side data visualization, released under the MIT license.
Vega-Altair provides declarative data visualization tools for Python applications.
Matplotlib provides Python tools for creating plots and visualizations from data.
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.
RAWGraphs is a free, open-source tool for creating data visualizations.
Use AnyChart, a JavaScript charting library, with its chart types and API documentation.
Interactive charts for multidimensional datasets can be built with dc.js, a JavaScript library that supports Crossfilter.
highcharter wraps the Highcharts JavaScript library for plotting R objects.
amCharts provides JavaScript charting components, maps, stock charts, and Gantt charts.
The Data Visualisation Catalogue explains chart types and techniques, with a searchable library organized by visualization function.
QuickChart generates chart images through an API that can embed visualizations in emails, reports, and other platforms.
A Day in the Life is an interactive visualization exploring New York City taxi activity.
pygal provides Python tools for creating charts and visualizing data in applications.
SIMILE Exhibit helps publish data-rich web pages through a framework for presenting information.
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