Compare CoPlot vs. Data Desk vs. DataMelt

CoPlot Version 6.45 is a highly adaptable software tool designed for generating top-notch 2D and 3D scientific visualizations, which include data plots, equations, maps, and various technical illustrations. The program's development is centered on a singular objective: to create a resource that empowers scientists and engineers to achieve their precise graphical needs with ease. Additionally, CoPlot integrates CoStat for effective data management and statistical analysis. Users can produce detailed technical illustrations using a wide array of drawing tools provided by CoPlot. Its capabilities make it suitable for crafting genetic maps, field maps, flow charts, apparatus schematics, circuit diagrams, chemical structures, and much more. The program supports drawing objects and graphs with the ability to incorporate HTML-like text formatting tags and over 1,000 special characters, enhancing the visual appeal of the scientific outputs. With CoPlot, users can create outstanding scientific graphs and maps, utilizing seven fundamental graph types, more than 40 plotting methods for data, 18 different ways to represent equations, flexible attributes for customization, asymmetric and horizontal error bars, and 12 distinct axis types, ensuring a comprehensive suite for all graphical needs. This extensive range of options makes CoPlot a valuable asset for anyone looking to present data visually in a professional and effective manner.

Applying formulas to data without careful consideration often yields minimal benefits beyond the simplest scenarios. Data analysis in the real world involves a complex, multi-step approach, and Data Desk enhances this workflow by enabling the identification of potentially erroneous outliers through a single visual interface, while maintaining your selections as you navigate through various visualizations. This allows you to quickly recognize outliers and trends at a glance. By facilitating the rapid transformation of data into different formats, Data Desk promotes a culture of experimentation and creativity, leading to the development of more effective models. Users can interactively select and categorize data across multiple visualizations in real-time. With Data Desk's intuitive graphical interface, you can create plots and execute advanced analyses, and with just a click, you can export the R or Python code that replicates your work. Additionally, Data Desk ensures that your data is cleaned to meet R's standards, preventing issues with stray characters. Any comments added within your Data Desk environment seamlessly translate into comments in the generated code, enhancing the clarity and usability of your analyses. Such features not only streamline the analytical process but also foster a deeper understanding of the data at hand.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.