Browse free open source Data Visualization software and projects below. Use the toggles on the left to filter open source Data Visualization software by OS, license, language, programming language, and project status.
High-speed, 3D-friendly, TightVNC-compatible remote desktop software
3D Without Boundaries
A portable, multi-platform, command-line driven graphing utility
A premier mind-mapping software written in Java
FlightGear Flight Simulator: free open-source multiplatform flight sim
An intuitive molecular editor and visualization tool
Computer Algebra System written in Common Lisp
A widely used tool for visual exploration of scientific literature.
Scanning probe microscopy data visualisation and analysis
An interactive viewer for three-dimensional chemical structures.
Complete solution for HDR photography
General Mission Analysis Tool
Toolkit for working with and mapping geospatial data
Simple yet flexible JavaScript charting for designers & developers
OpenGrADS provides extensions and interfaces for GrADS.
Python data, Leaflet.js maps
2D & 3D TeX-Aware Vector Graphics Language
Open source data visualization software is a type of program that can be used to create interactive visualizations of complex datasets. It enables users to present and analyze information in graphical form, enabling them to better understand and make decisions based on the data they are analyzing. This type of software typically uses different types of charts and graphs to illustrate relationships among variables and insights hidden within the data. Additionally, open source data visualization tools often have an array of features for customizing visuals, such as changing fonts, colors, axes labels, annotations, etc. These features allow the user to customize their graphs and make it easier for them to identify trends or draw meaningful conclusions from their datasets.
The main advantage of using open source data visualization tools is cost – since these programs are free (or very low-cost), any organization or individual can take advantage of the powerful capabilities provided by this technology without needing deep pockets. It also allows users to experiment with different methods for visual assessment so that they can determine what works best for their particular circumstances. And because it’s open-source code, developers are constantly innovating new ways for presenting information elegantly and efficiently; these improvements will be available automatically at no added cost since anyone can access the code online.
Finally, many open source data visualization packages offer extensive support through community forums where developers help each other troubleshoot issues they encounter while working with the software. With so much help available online from experienced users, getting started with creating beautiful graphics has never been easier.
Open source data visualization software typically does not cost anything, though it can depend on the particular software in question. Most open source data visualization software is available for free and without any license fees. Some programs may require users to pay for certain features or services but generally the core functionality of open source data visualization products is available at no cost. Additionally, many developers offer support and customizations through service plans that may include payment for these services. Therefore, the cost of using open source data visualization software truly depends on how much support and customization a user would like with their product.
There are several different types of software that can integrate with open source data visualization software. Some of the more common ones include analytics tools, such as those from Splunk or Tableau, which provide users with the ability to connect their data and create visuals from it. Data analysis tools, such as R and Python, also allow for integration with open source data visualization software. Additionally, there are specific services designed for this purpose, such as Highcharts or D3.js. By integrating these and other similar tools into an existing platform, users can take advantage of their reporting capabilities in order to quickly generate visuals from the data they collect.