Data visualization has become an essential tool for businesses of all sizes. It’s a way to make data easier to understand and to see relationships and trends that might not be apparent from looking at raw numbers alone.
Fortunately, there are a number of high-quality open source data visualization tools available in the market that can help businesses to translate data into actionable insights.
With time, open source data visualization tools have become a necessity for businesses. In this article, we’ll take a look at 25 of the best open-source data visualization tools.
So whether you’re just getting started with data visualization or you’re looking for an alternative to proprietary solutions, these tools should be on your radar.
What are Data Visualization Tools?
Data visualization tools are software that transform complex data into visual formats like charts, graphs, and dashboards. They help users easily identify trends, patterns, and insights, making data analysis more accessible and aiding in informed decision-making.
Businesses today highly depend on data visualization tools to understand what’s going on with their customers, conversions, sales, and other crucial metrics. Data visualization tool for business makes it easier to detect outliers and correlations that could otherwise go undetected in plain data sets.
In the business world, data visualization tools communicate information clearly and efficiently. By using various charts, graphs, and maps, data visualization tools can help businesses to make better decisions and track progress over time.
In some cases, data visualization tools can even help businesses to identify patterns and trends that would otherwise be difficult to spot. The right data visualization tool can make a huge difference in the way a business operates, so it is important to choose wisely. There are many different data visualization tools on the market, so it is important to do some research before making a purchase.
Ultimately, the best data visualization tool is the one that best meets the needs of the business.
DotNet Report is one of the best data visualization tools available in the market today. It comes equipped with exciting features like a customizable dashboardѕ, drag-and-drop interface, the ability to integrate multiple data sources, and much more. With DotNet Report, businesses can quickly convert heaps of data into actionable insights in minutes only. So, if you’re looking for a reliable data visualization tool for your business, DotNet Report is the way to go!
Data Visualization Revolutionized the Business Realm
In today’s business world, data is everything. By understanding and analyzing data, businesses can make better decisions, improve efficiency, and find new growth opportunities. But sifting through large data sets can be a daunting task. This is where data visualization software comes in.
Software data visualization helps businesses to see and understand their data in new ways, uncovering hidden patterns and trends. As a result, businesses that use data visualization tools are better able to make data-driven decisions and take advantage of new opportunities. In short, data visualization tools are an essential tool for any business that wants to stay ahead of the competition.
Perks of Data-Driven Decision-Making
In the business world, data is everything. Organizations rely on data to make informed decisions about everything from product development and marketing to sales and customer service. And in today’s data-driven economy, those who can harness the power of data are poised for success. Data-driven decision-making offers many advantages for businesses.
- It allows organizations to make decisions based on hard facts rather than gut instinct. This can lead to more accurate predictions and better results.
- Additionally, data-driven decision-making gives businesses the ability to track progress and identify areas for improvement.
- Data-driven decision-making can help businesses save time and money by reducing the need for trial and error.
As the world increasingly moves towards a data-driven economy, those who can leverage data will have a major advantage. Data-driven decision-making is essential for any business that wants to stay ahead of the curve.
25 Best Open Source Data Visualization Tools in 2024
1. DotNet Report
Are you looking for self-service software that scales your business growth in a few months?
DotNet Report is one of the top open source data visualization tools in the market. It has an open-source C# code to allow customizations and a quick installation time. With a lot of competition in the market, DotNet Report’s pre-sale services are unmatchable. We do not forget our customers after they purchase our product and provide them with after-sales support throughout the product life cycle.
DotNet Report’s Unparalleled Features
Let’s take a look at some of the best DotNet Report’s features and offerings.
- It offers customizable dashboards, graphs, and charts.
- It includes multi-tenant client support.
- Drill down reports that allow users to expand and get the complete list of data grouped.
- Filters to quickly bring up the required information.
- Ad hoc report generation through its embeddable reporting engine.
Are you concerned about your data security? DotNet Report limits user access to data according to your business requirements through its multi-tenant client support feature. Although present at the same centralized platform, not every user has access to complete data sets.
Packages
Currently, DotNet Report offers four packages to its users.
- Open (free trial version)
- Premium ($85/month)
- Premium+ ($165/month)
- Enterprise ($635/month)
With so many features, convenient pricing packages, and easy installation, DotNet Report is the best choice for data visualization.
2. Redash
Redash is the best data visualization tool. It’s a flexible platform that helps you aggregate data from multiple data sources, and then build beautiful visualizations on top of them. The best part about Redash is that it’s highly customizable – you can use it to build anything from simple charts to complex dashboards. And, because it’s open source, you can be confident that your data is always accessible and secure.
Pricing
- Starter Pack ($49/month)
- Professional Version ($99/month)
- Business Version ($450/month)
So if you’re looking for the best way to visualize your data, Redash is the answer.
3. Grafana Labs
Grafana Labs is an open-source data visualization tool that allows users to create highly customizable dashboards and graphs. It supports a wide range of data sources, including InfluxDB, Prometheus, Elasticsearch, and many others. Grafana Labs also offers some paid subscription packages that offer additional features, such as support for proprietary data sources, advanced visualizations, and enterprise-level security.
Prices start at $24 per month for the Basic package and go up to $480 per month for the Enterprise package. Grafana Labs is a powerful tool that can help organizations to gain insights into their data.
4. Data Wrapper
Data Wrapper is an open-source data visualization tool that can quickly translate your big data into actionable reports. It features a drag and drop interface that makes it easy to use. Data Wrapper can be used to create static or interactive data visualizations, and it supports a variety of file formats. It also has several built-in charts and maps that can be used to visualize data.
Pricing
Data Wrapper is available in both free and paid versions, with the paid version offering more features and support.
- Free Version
- Custom ($599/month)
- Enterprise (Customized)
Overall, Data Wrapper is a powerful and user-friendly data visualization tool that is well worth checking out.
5. Google Charts
There are a variety of data visualization tools available, but one of the most popular is Google Charts. This tool features a wide range of charts and graphs that can be customized to fit any need. In addition, it offers a variety of pricing packages to suit any budget. Whether you’re looking for a simple way to visualize your data or you need a more complex solution, Google Charts is worth considering.
6. Bold BI
Bold BI is one of the best open source data visualization tools in the market. It features a wide range of charts and graphs, making it easy to visualize data. The most important thing is that it helps you to make sense of data and to see patterns that you might otherwise miss. With Bold BI, you can easily spot trends and make better decisions about your data.
Packages
- Cloud (Starts at $495/month)
- Standard (Starts at $495/month)
- Plus (Starts at $995/month)
So if you’re looking for a powerful data visualization tool, you will never regret opting for Bold BI.
7. Knowage
Knowage is a software data visualization tool that allows users to create customized charts and graphs from their data. It offers a wide range of features, including the ability to create multi-dimensional charts, export data to Excel or CSV format, and share charts and graphs with others. Knowage also offers three pricing packages, depending on the needs of the user.
Annual Pricing Plans
- Essential (12.800,00 EUR)
- Professional (16.000,00 EUR)
- Extensive (23.500,00 EUR)
8. Tableau Public:
Up next on our free data visualization tools list, we’ve got Tableau Public.
This one is a free version of Tableau, a leading free data visualization software and business intelligence tool.
It allows users to create interactive visualizations using a wide range of data sources, and share them publicly. However, the visualizations created with Tableau Public are public and can be viewed by anyone.
Some of the known key features of this open source graph visualization tool are:
- Data Connectivity:
This free data visualization software supports a wide range of popular databases, spreadsheets, web services, cloud sources, flat files and more.
This makes it easy for users to connect their own datasets or access published datasets on the web without having to write manual code or queries.
- Visual Analytics Tools:
Contrary to the features of popular free data visualization tools, with Tableau Public, users can explore their data using various chart types including maps, scatter plots, histograms, heatmaps as well as custom visuals built by third party developers.
Users can also utilize advanced analytics capabilities in this free data visualization software to uncover insights from their data in just a few clicks.
- Automated Insights:
Built-in natural language query capabilities allow users to type out questions in plain English or single words like “percentage” and have the software surface automated statistical summaries about the underlying data set instantly – eliminating hours spent manually searching for insights within large datasets.
- Storytelling Capabilities:
To help users develop highly engaging presentations with powerful visuals quickly, Tableau Public has story boards which allow multiple views of related dashboards to be combined into one continuous story.
This story supposedly flows naturally from slide-to-slide with added transitions between slides for smooth flow between topics – helping ensure maximum impact when presenting findings at an event or meeting.
9. Google Data Studio:
Moving on with our free data visualization tools recommendation, we’ve got none other than Google Data Studio.
Google Data Studio is a free data visualization software tool offered by Google.
As one of the coolest open source visualization tools, it allows users to create customizable and interactive data visualizations using data from various sources, such as Google Analytics, Google Sheets, and more.
10. Microsoft Power BI Desktop:
Microsoft Power BI Desktop is a free open source graph visualization program that provides robust data visualization capabilities.
As one of the most popular open source visualization tools, it allows users to create interactive visualizations using a wide range of data sources and provides advanced features for data modeling and transformation.
11. D3.js:
D3.js is a popular opensource graph visualization tool, also known as a dedicated JavaScript library for creating dynamic and interactive data visualizations on the web.
As most of the free data visualization tools go, this one provides extensive flexibility and customization options for creating custom visualizations and is widely used by developers for building data-driven web applications.
12. Candela
Candela is a data visualization tool open source that JavaScript users can be sure to appreciate.
Developed with a focus on interoperable visualization elements, it offers a much-needed alternative to traditional software options.
With its powerful features, users are able to create charts that are visually pleasing and informative.
In addition, Candela is able to handle large data sets with ease, and can easily be integrated into existing web applications.
The library also includes a host of interactive elements like drag and drop, hover effects, zoom functions, and more.
This makes it an attractive option for creating sophisticated data visualizations with ease.
The software includes modules for data scientists and analytics buffs alike. There are tools to display your data as simple lines or complexly integrated loops and circles.
Of course, the extra potential of Candela won’t mean anything if you don’t integrate the tool with your web page.
This process doesn’t have to be complicated either – the Candela team has put together comprehensive guides covering R, JavaScript, and Python integration so you can get up and running in no time!
13. Chart Studio
Chart Studio is an amazing platform that makes visualizing data easier and more intuitive for everyone.
This open source data visualization tool allows users to connect to a SQL database by drag-and-dropping the necessary information without having to be well-versed in coding or programming.
It’s a great asset for non-technical people who are looking for an easy way of creating charts, analyzing data, and gaining insights. Furthermore, its most outstanding feature is that it enables the secure sharing of confidential information similar to Google Docs.
That means that collaborators can access the same charts and documents easily since they’re stored on a virtual platform.
Not only will it save time if you’re working with others, but Chart Studio also lets users embed their created charts on any dashboard, report, or wiki they may have access.
Overall, Chart Studio has certainly proven itself as an efficient way of making decisions based on reliable data analysis – so whether you’re new to charting software or an experienced user wanting to understand the data quickly and more visually, this comprehensive tool has got you covered.
It incorporates all the necessary features for both managing data securely and making sense of the information gathered.
Plus its user-friendly interface simplifies every process along the way!
14. Gephi
Gephi is an all-in-one data visualization tool open source. It allows users to easily create all kinds of graphs and charts quickly and intuitively.
With a simple user interface, Gephi provides a perfect platform for managing small datasets.
The configurable parameters enable you to manipulate structures and colors to interactively explore their representations.
In addition, Gephi is a great choice for those looking to create larger networks with more nodes and edges. It is capable of scaling up even the most complex datasets, without consuming too many resources.
This powerful tool can be used to represent social networks, biological data, and much more.
If you’re looking to gain insights from large datasets quickly, then Gephi is the way to go.
Those who are working in fields related to data mining, web analytics, or social networks should seriously consider this powerful tool as it can simplify their processes considerably.
Gephi is available for Windows, Mac, and Linux systems free of cost. While doing so, one can develop novel strategies for reaching the optimum performance by trial and error methods.
By using Gephi’s well-defined visual language you can also reuse existing designs to create variables like font type, size, orientation, or line spacing which are otherwise too stubborn to change manually within the program.
15. Polymaps
Polymaps is an open-source JavaScript library that makes creating dynamic maps for modern web browsers possible.
It has been designed to be highly customizable, allowing you to add many different types of charts and visuals onto your map.
With the help of Polymaps’ SVG functionalities, it allows you to enable interactive elements like color palettes, popups, and legends. This library also makes customizing with CSS easier than ever before.
In addition to regular mapping features, Polymaps also provides powerful data visualization tools which allow users to easily display geographic information from a country level down to a single unit.
Such an approach gives the user more options in terms of how data can be presented while also helping them better understand real-world patterns and trends.
By giving users the ability to explore data in more detail through their own queries, Polymaps help presenters communicate complex data more effectively as opposed to traditional visualizations.
Moreover, Polymaps also incorporate features that allow you to export and print your map in various formats, making it perfect for all sorts of projects.
16. RawGraphs
RawGraphs is an intuitive open source data visualization tool for creating charts, diagrams, and infographics. Its flexible platform allows a wide range of users, from casual ones to data experts, to take advantage of its powerful features and resources.
Unlike Charted, which is limited to basic graphs, Raw Graphs gives you full control over your visualization with detailed toolbox options for different chart types like bar graphs and pie charts.
You can also customize the look of your graph; no coding is required.
Making custom exports is easy too: all you have to do is copy-paste or cut-paste the link to relevant data.
Once complete, Raw Graphs automatically creates various visualization options to best fit your requirements.
This makes it the perfect choice for busy professionals and hobbyists alike who overwhelmingly prefer simplified yet comprehensive systems that don’t skimp on features.
Additionally, Raw Graphs also comes with an API, allowing developers to directly integrate it with their software and web services.
17. Chartist
Chartist is a powerful and intuitive open-source chart library that gives developers the tools to create responsive, gorgeous charts in a few clicks.
It works with both SVG and HTML5 Canvas to produce animations, interactive data visualization, and full customization for styling.
Chartist’s CSS structure makes it simple for users to customize charts for different devices and screen sizes without compromising on their quality or resolution.
The library also has many interactive features that can be used to add visual depth, such as tooltips, hover effects, or click events. This helps add context to the data being presented in the charts.
Additionally, users have complete control over user experience as Chartist allows them to define callbacks which can modify elements on the fly when they are triggered by user interaction or any other event.
All in all, Chartist offers an attractive solution with great scalability for web design needs.
18. Charted
Charted is one of the top open source data visualization tools available, free, and running under the MIT license.
Developed originally by the blogging platform “Medium.com”, Charted boasts an advantage over its competitors in that it can provide automated data visualization.
For users, making use of the software couldn’t be easier – you just have to link the data source and everything else will be taken care of for you.
This powerful feature allows users to group their vast amounts of information into crystal-clear visuals for better streaming or faster access.
Moreover, this remarkable software also comes with plenty of highly customizable templates that enable you to tailor your experience to your exact needs.
This includes varying fee ranges, label alignment, and grids sub/baseline placement – all designed to make life easier when you are dealing with big datasets.
Altogether, Charted provides a comprehensive data visualization experience right out of the box; no prior knowledge is required!
19. Datawrapper
Datawrapper is an interactive open source visualization tool that has been trusted by journalists, experts in data science, and researchers since 2011.
It offers users a range of features including creating bar graphs, tables, line charts, and scatter plots- all without the need to code.
It also includes enhanced features such as filtering capabilities for your creations, allowing the user to look at different dimensions of his or her data.
In terms of pricing, Datawrapper is one of the more cost-effective options; they offer both free versions as well as paid packages.
The great thing about this software is that it doesn’t require coding skills — users can get started by copying and pasting elements into their platform.
Datawrapper also provides embedded tools for making your creations available on websites for public viewing.
All these features combined make it one of the most user-friendly ways to visualize data quickly and accurately.
20. ParaView
ParaView is an exceptional free data visualization tool for managing and visualizing data.
It offers a comprehensive package to analyze and improve the experience of data analysis, regardless of platform or dataset size.
Flexibility is part of ParaView as it can help with both large and small datasets.
Furthermore, its performance proves to be outstanding when used in educational settings, laboratories, and for commercial purposes.
Furthermore, ParaView provides remarkable features for exploring data thanks to 3D interactive visualizations.
It is possible to explore data quickly through the contrast between variables from different regions which allows you to dive into deeper meanings of the underlying data.
ParaView also supports different kinds of simulations like streamlines, probe lines, and surfaces that make it easier to create stunning graphics with effective results.
All these characteristics make ParaView indispensable in any organization which works with large amounts of data requiring advanced graphically impressive analysis techniques.
21. Plotly
Plotly is an excellent free data visualization tool for anyone looking to analyze and visualize their data without having to rely on coding skills.
The platform provides a wide range of options for users, including interactive maps and charts that can be edited by multiple team members.
This makes it easy to create presentations, generate graphs, and create custom visualizations. Plus, you can connect SQL databases or upload Excel files with the click of a button.
Furthermore, Plotly allows you to automate tasks related to data representation which can speed up your workflow greatly.
All these features make working with graphical data much easier while promising enhanced accuracy in the results produced.
In conclusion, Plotly offers a great opportunity for those interested in representing their data intelligently and efficiently.
Whether it’s about building charts or creating maps, this remarkable platform provides users with the necessary tools needed to generate fantastic visuals that are both eye-catching and informative.
In addition, its user-friendly interface simplifies the process further by allowing for quick setup as well as maintenance so you don’t have to spend too much time tinkering with the software’s settings.
22. Leaflet
Leaflet is one of the best free data visualization tools that allow users to create interactive maps.
Developed as a responsive software, Leaflet provides support for a wide range of platforms including desktops and mobile platforms.
It is highly customizable and comes with numerous plugins that make the mapping process much easier.
Furthermore, its APIs can be used across multiple languages such as JavaScript and HTML5, providing developers with flexibility when it comes to implementing their projects on the go.
To ensure the performance of mobile apps built with Leaflet, developers need to optimize resource usage by using techniques such as caching, lazy loading, and minimizing network requests.
This helps significantly reduce latency issues that could drastically reduce user experience.
In addition to this, careful consideration should also be taken when it comes to graphics processing use cases as it could potentially impact battery life too on hand-held devices like smartphones or tablets.
By optimizing resource usage in these ways, Leaflet users can benefit from speedier applications without compromising performance in any way.
23. ColorBrewer
ColorBrewer is an amazing and invaluable tool for anyone looking to make their visualizations stand out.
It helps you create charts and interactive maps with beautiful, meaningful color combinations that ensure viewers are able to read the data effectively.
The creators at Penn State University have constructed a comprehensive data solution complete with all the color settings you could ever need.
All you need is a simple Flash plugin and you’re ready to get started using ColorBrewer.
With this fantastic service, users can choose different settings to find color schemes that best suit their work.
They can test out specific hues, apply them to the backgrounds or content, or even use different parameters such as the number of colors used for each hue.
With ColorBrewer, users will be able to consult an array of interactive options on complex maps – thus opening up a world of opportunity for existing and aspiring designers alike.
24. DyGraphs
DyGraphs is a free, open-source JavaScript library ideal for creating interactive graphs and charts. Its simple design allows users to easily process and organize large data sets.
A major plus is support for error bars, which display the reliability of graphics, allowing users to make accurate assessments for their visualizations.
This program also provides helpful tutorials that guide users on effectively utilizing DyGraphs.
Additionally, its support includes extensive documentation with code samples meant to simplify difficult parts of your apps or web pages.
With these features combined, it’s an excellent choice for anyone looking to intuitively explore datasets in real-time through modern web browsers.
Even further, DyGraphs has been downloaded millions of times by people from all over the globe due to its wide range of applications in various industries and research fields amongst other reasons.
25. Orange
Orange is one of the best free data visualization tools specifically designed to provide a comprehensive solution for data analytics.
It is based on machine learning and Python technology which makes it easier to use for both amateur and experienced computer users alike.
With its versatile tools, you can carry out basic statistical analysis tasks such as clustering, forecasting, or classification.
Apart from its practical features, Orange also offers some impressive visualization features that will revolutionize the way you interpret your data.
Visualization functions such as scatter spots, tree examples, Venn diagrams, and detailed statistical distributions may also come in handy when you are looking for patterns in data.
What being an open-source program helps too is that Orange is extensively tested and constantly enhanced which allows it to stay up to date with the newest developments in data analytics.
Therefore, if you want to work with reliable and robust data visualization tools then look no further than Orange!
Final Thoughts
When it comes to selecting the best open-source data visualization software and tools, it’s important to consider individual requirements and preferences. Different tools have their strengths and weaknesses, and what works well for one person or organization may not be the ideal choice for another.
Moreover, certain tools may be more suitable for a specific type of data visualization, such as interactive maps or graph visualizations.
Keeping this in mind, the 25 Best Open Source Data Visualization Software and Tools listed in this article provide comprehensive solutions that can cover multiple aspects of data analysis and visualization.
