Data Visualization Apps and Services

Chart.js is a versatile JavaScript charting library designed to enable designers and developers to create beautiful and interactive data visualizations for web applications.

Lightbeam for Firefox is a powerful Firefox add-on that visually demonstrates your interactions with first- and third-party sites across the web, highlighting potential tracking connections.

Raphaël is a powerful JavaScript library that simplifies the creation and manipulation of vector graphics directly within web browsers. It provides a robust API for working with SVG and VML, enabling dynamic and interactive visual elements.

Orange is an open-source, visual programming platform for interactive data analysis and machine learning. It offers a comprehensive suite of tools for data mining, data visualization, predictive modeling, and text analytics through a user-friendly interface.

SciDAVis is a free and open-source application for scientific data analysis and visualization, providing powerful tools for plotting and data manipulation specifically designed for scientists and engineers.

SOFA Statistics is a user-friendly, open-source statistical package designed for researchers, analysts, and students to easily perform statistical analysis and generate reports without requiring extensive coding knowledge.

QtiPlot is a versatile and cross-platform application designed for scientific data analysis and high-quality data visualization. It offers an intuitive graphical interface for creating various types of plots and powerful tools for curve fitting, data manipulation, and scripting.

OpenFrameworks is a free and open-source C++ toolkit crafted for creative coding. It provides a powerful yet accessible environment for developing cross-platform applications focused on graphics, audio, and real-time interaction, making it ideal for artists, designers, educators, and researchers.

Matplotlib is a comprehensive plotting library for Python, enabling the creation of static, animated, and interactive visualizations in a variety of formats. It is widely used in scientific computing and data analysis.

Graphviz is a powerful open-source graph visualization software package. It allows users to create complex diagrams and graphs from descriptive text files using the DOT language. Ideal for professionals, researchers, and developers needing to represent structured information visually.

Processing is a versatile open-source software sketchbook and programming language tailored for creating visual, interactive, and artistic projects.

Leaflet is a leading open-source JavaScript library for creating mobile-friendly interactive maps. It's designed to be lightweight, simple, and highly performant.

R is a powerful open-source language and environment for statistical computing, graphics, and data analysis. Widely used by statisticians and data miners for developing statistical software and data analysis.

Chart.js is a versatile JavaScript charting library designed to enable designers and developers to create beautiful and interactive data visualizations for web applications.

Lightbeam for Firefox is a powerful Firefox add-on that visually demonstrates your interactions with first- and third-party sites across the web, highlighting potential tracking connections.

Raphaël is a powerful JavaScript library that simplifies the creation and manipulation of vector graphics directly within web browsers. It provides a robust API for working with SVG and VML, enabling dynamic and interactive visual elements.

Orange is an open-source, visual programming platform for interactive data analysis and machine learning. It offers a comprehensive suite of tools for data mining, data visualization, predictive modeling, and text analytics through a user-friendly interface.

SciDAVis is a free and open-source application for scientific data analysis and visualization, providing powerful tools for plotting and data manipulation specifically designed for scientists and engineers.

SOFA Statistics is a user-friendly, open-source statistical package designed for researchers, analysts, and students to easily perform statistical analysis and generate reports without requiring extensive coding knowledge.

QtiPlot is a versatile and cross-platform application designed for scientific data analysis and high-quality data visualization. It offers an intuitive graphical interface for creating various types of plots and powerful tools for curve fitting, data manipulation, and scripting.

OpenFrameworks is a free and open-source C++ toolkit crafted for creative coding. It provides a powerful yet accessible environment for developing cross-platform applications focused on graphics, audio, and real-time interaction, making it ideal for artists, designers, educators, and researchers.

Matplotlib is a comprehensive plotting library for Python, enabling the creation of static, animated, and interactive visualizations in a variety of formats. It is widely used in scientific computing and data analysis.

Graphviz is a powerful open-source graph visualization software package. It allows users to create complex diagrams and graphs from descriptive text files using the DOT language. Ideal for professionals, researchers, and developers needing to represent structured information visually.