12 Best Open Source Data Visualization Tools [Free & Paid]

12 Best Open Source Data Visualization Tools [Free & Paid]-feature image
December 13, 2022 Reviewed By : Asheet Makhija .10 Min read

Data visualization tools are widely used for data presentation and in-depth analysis through charts, graphs, maps, tables and other illustrations. Open source data visualization tools and software are quite popular among organizations, as it helps them analyze and represent data in the way they want with access to its source code. We have listed the 12 best open source data visualization tools along with their features. 

Best Open Source Data Visualization Tools

Importance of Data Visualization Tools

Data visualization is becoming increasingly important as we deal with larger and more complex data sets. The ability to visualize data quickly and easily can help us gain insights that would otherwise be hidden in the unstructured data. Data visualization tools can also help communicate your findings to others, whether they are clients, business partners, or colleagues.

How Does Data Visualization Tool Help?

Here’re some of the ways in which data visualization tools can help us.

  • Visualize complex data for better analytics
  • Concise large and complex data sets to know the gist
  • Enables to communicate data findings to others
  • Determine correlation, effects and nature in data

12 Best Open-Source Data Visualization Tools (Paid and Free)

Data Visualization ToolsLanguage SupportedBest Used To
CandelaJavaScript, Python, and R.Visualize components in resonant platform of Kitware
ChartedJavaScriptSee results with quick visualization of data
Chartist.jsJavaScript and CSSEasily embed analytical charts on UI and admin dashboards
D3.jsHTML, CSS and JavaScriptAttach data driven charts and graphs to documents
dygaphsJavaScriptInterpret and explore dense datasets
Google ChartsJavaScriptData visualization on your website or app
Google Data StudioGDS, JavaScript and CSSLow-code data visualization and customization
Grafana LabsGo Programming Language and Node.js LTSMulti-platform interactive visualization and analytics
LeafletJavaScript, CSS and HTMLBuild interactive webpage mapping applications
RedashJavascript, Python (3) and Typescript.Query based data visualization
RapidMinerJavaCreate the entire data analytics life cycle
WeaveActionScript and Adobe FlexVisualize tables, maps and graphs that are interrelated

Here are the 12 best data visualization software on the market that you can customize and use as per your need.

  • Candela: Visualize Components in Resonant Platform of Kitware

Candela open source data visualisation tool

Candela is one of the best open-source data visualization tools with dozens of interoperable web visualization components that let users and data analysts easily create insightful, interactive data patterns, complex infographics, dashboards, and maps.

Candela has more than a dozen visual components including unique LineUp and OnSet components by Harvard University. It supports three different programming languages like JavaScript, Python, and R, making it a versatile data visualization software.

Candela Key Highlights

  1. 16+ Visual Components
  2. Multi-Language Support
  3. Detailed Documentation
  4. Community Support

Supporting Languages: JavaScript, Python, and R.

Pricing of Candela: Candela is a completely free open-source data visualization tool. You can simply download the source code from its official website or GitHub and start editing.

Suggested Read: Best Free Statistical Software for Data Analysis

  • Charted: See Results with Quick Visualization of Data

Charted is a simple, open-source tool for visualizing data created by Medium. It is quite easy to visualize data using chartered, as you must feed links to the data to create informational, colorful, and interactive charts.

The tool mainly focuses on providing core visualization features like quick update, separate chart data series, multi-size screen display, etc.

Charted Key Highlights

  1. Renders data and chart on all screen sizes
  2. Quick data feed with CSV file or shareable google sheets link.
  3. Entirely visualization focused
  4. GeoJS geospatial and Vega visualizations

Supported Languages: JavaScript

Charted Pricing: It is an opensource free data visualization software. You can modify its code to fit your needs.

  • Chartist.js: Easily Embed Analytical Charts on UI and Admin Dashboards

Chartist.js dashboard

Chartist.js is a lightweight and easy-to-use JavaScript library for creating beautiful charting interfaces, making it perfect for embedding into your web applications. Chartist.js supports a wide range of chart types, including bar, line, area, and scatter plots that you can input into your dashboard or admin UI.

It also supports several advanced features such as animation, touch support, and styling. Chartist.js is free to use under the MIT license and is available for download at GitHub.

Chartist.js Key Highlights

  1. Advanced CSS Animation and multi-line label
  2. Cross-browser support
  3. Responsive override options
  4. (Dot Per Inch) DPI independent
  5. Scalable Vector Graphics (SVG) usage

Supported Language: JavaScript for control/coding and CSS for styling

Chartist Pricing: It is a free opensource data visualization program.

  • Data-Driven Documents (D3.js): Attach Data Driven Charts and Graphs to Documents

Data-Driven Documents (D3.js) is one of the most popular JavaScript libraries for creating custom data visualizations. D3.js gives you the freedom to use HTML, CSS, and SVG to create interactive and dynamic visualizations that can be used on web pages, apps, and presentations.

It mainly focuses on web metrics and gives users all the capabilities of modern browsers without any restriction to a framework. It helps users with DOM (Document Object Model) manipulation by combining a data-driven approach and powerful visualization components.

D3.js Key Highlights    

  1. Bind data to DOM elements
  2. Application of data driven transformation on Documents
  3. HTML, CSS, and SVG to create visualizations
  4. Supports large datasets and dynamic behavior
  5. Reusable codes along with large collection of community and official modules

Supported Languages: HTML, CSS and JavaScript

D3.js Pricing: Available for Free on GitHub

Suggested Read: Best GIS Software for Analyzing Geospatial Data

  • dygraphs: Interpret and Explore Dense Data Sets

dygraphs is an interactive JavaScript based opensource data visualization tool that produces zoomable line and bar charts from CSV, URL, array, function or data table. It has a feature-rich JavaScript charting library and is widely used in creating interactive dashboards and data visuals, like in Stock Screener

dygraphs also create interactive charts and graphs based on user defined values. Users can shift, drag and mouseover above the chart to zoom, zoom-out and to highlight individual values.

dygraphs Features

  1. Supports large datasets of complex semi- structured data
  2. Customizable Animations and interactivity
  3. Crosshairs and annotations
  4. Mouseover and pan interactions
  5. Highly customizable with custom callbacks and options
  6. Supports all browsers, even smartphone/tablet

Supported Language: JavaScript.

dygraphs Pricing: Users can download the entire code for free from its official website. It is a free open-source dashboard tool for visualizing data.

  • Google Charts: User Friendly Data Visualization on Your Website or App

Google Charts dashboard

Google Charts is a simple and free charting tool that lets you create a wide variety of charts and graphs for your web pages and applications. It offers a wide range of charts, including bar, line, area, and scatter charts, where you can input your data and customize every detail. It also supports features such as animation, touch support, and styling. Google Charts is free to use and is available for download at the Google Developers website.

This open-source data visualization software offers a wide range of tools and charts along with detailed customization options. It also supports real-time data connection using a variety of protocols and data connection tools.

Google Charts Key Highlights

  1. Easy to use and simple to input data
  2. A wide variety of chart types
  3. Supports animation and touch support
  4. Realtime data connection tools
  5. Cross-browser operability
  6. Cross-platform Portability

Supported Language: JavaScript

Google Charts Pricing: It a free open-source vizualization tool by Google.

Suggested Read: Best Free and Open Source ETL Tools for Data Integration

  • Google Data Studio: Low – Code Data Visualization and Customization

Google Data Studio is a data visualization tool that lets you create beautiful and informative reports from your data. It connects to a variety of data sources, including Google Sheets, BigQuery, Cloud SQL, etc. and lets you transform your data into visually appealing and insightful reports. It also offers a wide range of customization options so that you get specific analytic reports.

Google Data Studio is free to use and modify on Google Data Studio website. Further, it is quite easy to use and offers a wide range of customization options.

Google Data Studio Key Highlights

  1. Easy to use
  2. A wide range of built-in charts and reports
  3. Support for a dozen data sources
  4. Completely free to use

Supported Language: GDS, JavaScript and CSS 

Google Data Studio Pricing: As of now, it is offered completely free as a part of Google Cloud Platform.

Suggested Read: Best Statistical Analysis Software Solution for Business

  • Grafana Labs: Multi-platform interactive visualization and analytics

Grafana is an open-source data visualization and monitoring tool that lets you create beautiful graphs and dashboards from your data. It supports a wide range of data sources, including Prometheus, InfluxDB, Elasticsearch, and MySQL.

Grafana offers one of the most advanced data visualization tools like IOT visibility, On-call management, multi-tenant log aggregation, and much more. It also has a wide range of built-in graphs and dashboards that you can use to get started with your data visualization.

Grafana Labs Key Highlights

  1. Prometheus Metrics (10K series)
  2. 50 GB logs and 50 GB Traces
  3. Both cloud and on-premises deployment
  4. K8s Monitoring
  5. Graphite, Mimir, and Prometheus Metrics
  6. Azure Monitor Plugins

Supported Language: Go Programming Language and Node.js LTS

Grafana Pricing: Grafana is a premium visualization software. It offers a free plan for upto 3 users. The premium plan starts ₹640/month.

  • Leaflet: Build interactive Webpage Mapping Applications

Leaflet is a free open-source data visualization library for interactive maps that are used on websites and mobile applications. It offers a wide range of features, including markers, Popups, polygons, and much more. It also supports a variety of data formats, including GeoJSON, TopoJSON, etc.

Leaflet is a JavaScript library designed for interactive maps. It provides map rendering, interaction, animations, events, markers, overlays, panes, popups, drag-and-drop, and a lot more. This open-source data visualization tool offers multiple interaction options like click, mouseover, pinch, marker dragging, scrolling, etc. It is extremely lightweight and has no external dependencies.

Leaflet Key Highlights

  1. OpenStreetMap data
  2. Easy embedding code to mobile apps
  3. Interactive web map
  4. GeoJSON data support
  5. Multi-browser opera
  6. Modular build system

Supported Language: JavaScript, CSSand HTML 

Leaflet Pricing: It is a free open source data visualization tool.

  • Redash: Query based Data Visualization tool

Redash is another premium data visualization programme that allows users to create and embed their own custom dashboards with any type of data, and even connect to multiple data sources. Users can connect their UI to a variety of data sources, including MySQL, Amazon Redshift, Google BigQuery, PostgreSQL, MongoDB, and more. It also offers a wide range of features, including a SQL editor, multiple visualization types, collaboration features, etc. 

Redash Key Highlights

  1. Robust web-based SQL editor
  2. Reusable snippet creator
  3. Drag and drop resizer
  4. Public and privately shareable dashboards
  5. Click-to-insert and browser schema

Supported Language: Javascript, Python (3) and Typescript.

Redash Pricing: It is open source data visualization tool.

  • RapidMiner: Create the entire Data Analytics Life Cycle

RapidMiner dashboard

RapidMiner is a platform for data science teams that makes it easy to prepare data, build models, and deploy them into production. It supports a wide variety of data sources, including relational databases, Hadoop, NoSQL databases, Amazon S3, and more. Data Visualization is just a part of, the RapidMiner data engineering suite. 

It also offers a wide range of features, including a visual model builder, an Auto Modeler, and an interactive data exploration tool. RapidMiner is available in both a free and a paid version. You can buy and modify the source code as you need it.

RapidMiner Key Highlights

  1. Data Preparation and Model Building
  2. Project-based Framework
  3. Drag-and-drop dashboard building
  4. Operators for further Customization
  5. Visual Analytics workflow

Supported Language: Java

RapidMiner Pricing: RapidMiner has custom pricing model spending on the requirement of users.

  • Weave: Visualize Table, Maps and Graphs that are Interrelated

The weave is a publicly shared data visualization program with a wide range of features, including interactive visualizations, a data query language, and support for multiple data sources.

Its flexible architecture enables users to create their own visualizations or reuse existing ones from the web. It can further connect data from multiple sources and integrate them into a single unified dashboard.

Weave Highlights

  1. Serverless model deployment
  2. Binary version available
  3. Highly scalable
  4. Machine learning model server
  5. Data query language

Supported Language: ActionScript and Adobe Flex

Weave Pricing: It is an opensource visualization tool available for free.

Suggested Read: Open Source and Free Bioinformatics Tools List for Genomic Testing


  1. What are data visualization tools?

    Data visualization tools are computer programs that allow users to create and embed their own custom dashboards with any type of data. It helps to create interactive charts, graphs and illustrations for Admin panel, dashboards, and user interface.

  2. What is the best data visualization tool?

    There is no single answer to this question, as the best data visualization tool for you will depend on your specific needs. However, some of the most popular data visualization tools include Leaflet, Redash, and RapidMiner.

  3. Why use data visualization tools?

    Data visualization software helps users understand and make better decisions based on data. Data visualization tools allow users to identify relationships between data points, identify trends, and make predictions about future data.

  4. Which visualization tool is open source?

    Some data visualization tools are open source, meaning that anyone can access and modify the source code. Some of the most popular open-source data visualization tools include Leaflet, Redash, and Weave.

  5. Is there any open source and free visualization tool?

    Yes, there are many free open-source data visualization tools available on Github and other platforms. Weave, dygraph and Candela are some opensource and free visualization applications.

  6. What are the top open-source visualization tools?

    There are many open-source data visualization tools available, but some of the most popular include Leaflet, Redash, and Grafana.

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Written by Rajan Rauniyar

Rajan is pursuing CA with a keen interest in trends and technologies for taxation, payroll compliances, Tally Accounting, and financial nuances. He is an expert in FinTech solutions and loves writing about the vast scope of this field and how it can transform the way individuals and businesses... Read more

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