Best Data Visualization Software for Linux

Highcharts is a JavaScript charting library that allows developers to create interactive and visually appealing charts for web applications. It offers a wide range of chart types, including line charts, bar charts, pie charts, scatter plots, and more. It also supports different types of data, including CSV, JSON, and even live data streams. One of the key features of Highcharts is its ability to customize the look and feel of the charts. Developers can easily change the colors, font sizes, and other visual elements to match their brand or design. Additionally, it offers a variety of options for making charts responsive, so they look great on any device. Another great feature is the ability to add interactive elements to charts, such as hover effects, tooltips, and click events. This allows developers to create charts that are not only informative, but also engaging for users. Highcharts also supports exporting charts as PNG, JPEG, PDF, or SVG, making it easy to share or print them.

DXcharts is a white-label financial charting library. With 1-day integration, impressive native mobile apps, and an optional data feed, Devexperts has created a charting solution that sets new standards in performance. Freedom to choose with 4 tailored options: - Free white-label open source charting library (DXcharts Lite) - DXcharts financial charting library: a white-label charting library with trading functionality - DXcharts widget: a quick and easy tool for websites and blogs - DXcharts source code for full ownership of the product Why choose DXcharts? - Fully customizable to match your brand: adjust colors, fonts, icons, and layouts effortlessly - Access over 100 indicators, 48 drawing tools, and features like trading and news monitoring—all within the chart - Designed for all devices with seamless mobile-friendly compatibility - Explore DXcharts with a free trial - Delivered ready with dxFeed, but you can also integrate any other market data source

Grab powerful charts and add real-time quotes onto your site as quickly as it takes you to pour a morning coffee — just copy and paste our simple iFrame codes. TradingView widgets are easily customizable and will fit any UI, just choose your fighter: -Our pride and joy, Advanced Real-Time Chart — a powerful chart with a ton of customization options, all up to your needs and fantasy. -Missing good-old days? Go all vintage Wall Street with our scrolling Ticker tape, embeddable in just a few clicks. -Technical analysis widget — designed for savvy traders, it helps you decide whether to buy or sell by displaying technical ratings. -Stock market widget? Good choice, it provides data on the top five gaining, losing, and most active stocks based on current market activity. And there's more to discover at TradingView. Our widgets are free of charge and easy to implement, and we're constantly working on adding more data — information is power, and we’re here to power up your website.

DataV is an advanced analytics and visualization platform designed to help organizations transform raw data into actionable insights via static as well as dynamic visualizations. It enables data-driven decision-making through powerful data modeling, AI-assisted analytics, and dynamic visualization dashboards. With seamless data integration, automated reporting, predictive insights, and collaborative features, DataV empowers businesses to monitor performance, identify trends, and make informed strategic decisions all from a single, unified interface.

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported. DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.