Data visualization tools are widely used for data presentation and in-depth analysis through charts, graphs, maps, tables and other illustrations. Open source visualization tools 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 best open source data visualization tools along with their features.
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.
Here’re some of the ways in which open source visualization tools can help us.
Data visualization tools can help in properly visualizing complex data sets. With it you can easily identify patterns in these data sets and gain actionable insights. In case you are planning to buy one for your organization, then this article will help you.
To help you choose the right tool, we have done a detailed comparison of best data visualization tools in terms of features, pros and cons, compatible operating systems and pricing
A detailed comparison is made based on features like XYZ. In this article, we have mostly included open-source data visualization software therefore, you can use all the features for free. However, many of them do have a paid version for premium features.
Therefore, you can buy its subscription to use the advanced functionalities for data representation. Here are some of the best open-source data visualization tools you can consider for this purpose
| Data Visualization Tools | Language Supported | Best Used To |
|---|---|---|
| Candela | JavaScript, Python, and R. | Visualize components in resonant platform of Kitware |
| Charted | JavaScript | See results with quick visualization of data |
| Chartist.js | JavaScript and CSS | Easily embed analytical charts on UI and admin dashboards |
| D3.js | HTML, CSS and JavaScript | Attach data driven charts and graphs to documents |
| dygaphs | JavaScript | Interpret and explore dense datasets |
| Google Charts | JavaScript | Data visualization on your website or app |
| Google Data Studio | GDS, JavaScript and CSS | Low-code data visualization and customization |
| Grafana Labs | Go Programming Language and Node.js LTS | Multi-platform interactive visualization and analytics |
| Leaflet | JavaScript, CSS and HTML | Build interactive webpage mapping applications |
| Redash | Javascript, Python (3) and Typescript. | Query based data visualization |
| RapidMiner | Java | Create the entire data analytics life cycle |
| Weave | ActionScript and Adobe Flex | Visualize tables, maps and graphs that are interrelated |
Here are the best open source visualization tools in the market that you can customize and use as per your need.
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 one of the most versatile open-source data visualization tools.
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.
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Charted is a simple, open-source data visualizing 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.
Supported Languages: JavaScript
Charted Pricing: It is an open source data visualization software. You can modify its code to fit your needs.
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.
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) 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.
This open-source data visualization software 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.
Supported Languages: HTML, CSS and JavaScript
D3.js Pricing: Available for Free on GitHub
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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
The open source data visualization tool 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.
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 is a open source charting software 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.
Supported Language: JavaScript
Google Charts Pricing: It a free open-source visualisation tool by Google.
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Google Data Studio is a free 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.
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.
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Grafana is an open-source data visualization 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.
The free visualization software 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.
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 is a free 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.
Supported Language: JavaScript, CSSand HTML
Leaflet Pricing: It is a free open source 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. This open source data visualization tool also offers a wide range of features, including a SQL editor, multiple visualization types, collaboration features, etc.
Supported Language: Javascript, Python (3) and Typescript.
Redash Pricing: It is open source data visualization tool.
RapidMiner is 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.
This free data visualization tool 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.
Supported Language: Java
RapidMiner Pricing: RapidMiner has custom pricing model spending on the requirement of users.
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.
Supported Language: ActionScript and Adobe Flex
Weave Pricing: It is an opensource visualization tool available for free.
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There are several types of data visualizations available to visualize data. Some of the most common data visualizations include:
In addition to these, Line chart, Tree Map, Area Chart, Vienn diagram, and bubble chart are some other ways to represent data.
Open-source data visualization tools can help you unlock a new level of data visualization, interpretation, and analysis.
Selecting open source data visualization tools imply selecting a platform that provides flexibility, a supportive community, and future capabilities. Some other reasons to use free software for data visualization include:
Proper data visualization is essential for accurate and precise data analysis. With the right open source data visualization tools at your fingertips, you can quickly summarize and describe the complicated data to your employees and stakeholders.
There are ample options available for data visualization tools that you can use for data representation and analysis. In terms of features like data preparation, data sourcing, and data representation, Google Charts, Charted, and Candela are some of the best open-source data visualizations.
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.
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.
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.
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.
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.
There are many open-source data visualization tools available, but some of the most popular include Leaflet, Redash, and Grafana.
Related Categories: Data Visualization Tools | Database Management Software | Data Science Platforms
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