Core Plot vs python(x,y)

Struggling to choose between Core Plot and python(x,y)? Both products offer unique advantages, making it a tough decision.

Core Plot is a Development solution with tags like plotting, charting, data-visualization, macos, ios, tvos.

It boasts features such as 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 pros including Fast and optimized for mobile, Lightweight and easy to integrate, Good documentation, Active development and support, Very customizable and extensible, Open source and free.

On the other hand, python(x,y) is a Development product tagged with plotting, data-visualization, charts, graphs.

Its standout features include 2D and 3D plotting, Statistical graphs, Image processing and display, GUI widgets for user interfaces, Support for various file formats, and it shines with pros like Open source and free to use, Large collection of plotting functions, Highly customizable plots, Interactively explore and visualize data, Integrates well with NumPy and SciPy.

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.

Core Plot

Core Plot

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.

Categories:
Development Plotting & Charting
plotting charting data-visualization macos ios tvos

Core Plot Features

  1. High performance 2D plotting
  2. Support for bar, line, scatter, pie, area and other plot types
  3. Date plotting with customizable axes
  4. Legend support
  5. Customizable styles and themes
  6. Zooming, panning, and scrolling
  7. Export plots as images
  8. Bind plots to Core Data and load data asynchronously
  9. Mac, iOS, tvOS support

Pricing

  • Open Source

Pros

Fast and optimized for mobile

Lightweight and easy to integrate

Good documentation

Active development and support

Very customizable and extensible

Open source and free

Cons

Limited built-in support for 3D plotting

Steep learning curve

Requires knowledge of Core Animation and Quartz

Lacks some advanced statistical/analytics features

python(x,y)

python(x,y)

python(x,y) is an open-source mathematical plotting and data visualization library for the Python programming language. It provides a simple interface for creating 2D plots, histograms, power spectra, bar charts, errorcharts, contour plots, etc.

Categories:
Development Data Analysis
plotting data-visualization charts graphs

Python(x,y) Features

  1. 2D and 3D plotting
  2. Statistical graphs
  3. Image processing and display
  4. GUI widgets for user interfaces
  5. Support for various file formats

Pricing

  • Open Source
  • Free

Pros

Open source and free to use

Large collection of plotting functions

Highly customizable plots

Interactively explore and visualize data

Integrates well with NumPy and SciPy

Cons

Steep learning curve

Documentation can be lacking

3D plotting is limited

Not ideal for web application backends