Struggling to choose between NumeRe and Core Plot? Both products offer unique advantages, making it a tough decision.
NumeRe is a Development solution with tags like numerical-analysis, visualization, statistics, matrix-operations, plotting, open-source.
It boasts features such as Matrix operations, Plotting tools, Statistics functionality, Interfaces to C/C++, Fortran, and Julia and pros including Open source, Fast matrix operations, Good for numerical analysis and statistics, Integrates with other languages like C/C++.
On the other hand, Core Plot is a Development product tagged with plotting, charting, data-visualization, macos, ios, tvos.
Its standout features include High performance 2D plotting, Support for bar, line, scatter, pie, area and other plot types, Date plotting with customizable axes, Legend support, Customizable styles and themes, Zooming, panning, and scrolling, Export plots as images, Bind plots to Core Data and load data asynchronously, Mac, iOS, tvOS support, and it shines with pros like Fast and optimized for mobile, Lightweight and easy to integrate, Good documentation, Active development and support, Very customizable and extensible, Open source and free.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
NumeRe is an open-source numerical computing environment and programming language for numerical analysis, visualization, and statistics. It is similar to MATLAB and Python-based scientific computing packages, providing fast matrix operations, plotting tools, statistics functionality, and interfaces to C/C++, Fortran, and Julia.
Core Plot is an open-source 2D plotting framework for macOS, iOS, and tvOS. It provides high-performance plotting, numerical analysis, and data visualization functionality to developers writing native Mac, iPhone, iPad, and Apple TV apps.