![]() ![]() Tableau Public is an example of a free data visualization software, however, it is not open source. Open source data visualization tools require the user to have some programming ability, whereas free visualization tools may not necessarily need the user to have programming ability. The most basic definition of open source in the context of software is “software with source code that anyone can inspect, modify, and enhance”. Open source can sometimes generate a bit of confusion as being synonymous with “free”. Research conducted for this post revealed more than 50 data visualization tools that can be considered “open source”. Nevertheless, there are a number of open source data visualization tools that can assist businesses with visualizing their data easily. The most effective visualizations combine data cleansing and analytic techniques, and often require a competent data scientist. ![]() The ever-increasing flow of data streams in both real-time and near real-time require the use of dynamic dashboards, driving the demand for sophisticated tools, platforms and applications. Data visualization facilitates decision-making processes that allow businesses to compete and adapt quickly to changing environments. In this post, Christopher Frye, a data science consultant and Kolabtree freelancer, provides the top open-source data visualization tools that can help you easily visualize and interpret complex data.ĭata visualization tools help to house, cleanse, process and display the rapidly growing, vast and complex data that we generate and collect every moment.
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