Core Plot VS PNChart

• Open Source
  Core Plot is open source, which means it is free to use and allows developers to contribute to its improvement and customization.
• Customizability
  Core Plot offers extensive customization options, giving developers control over the appearance and behavior of their plots.
• Cross-Platform Support
  Core Plot can be used for both iOS and macOS applications, making it a versatile option for developers working across Apple platforms.
• Feature-Rich
  It provides a wide range of features like axis labels, data plots, and complex graphing capabilities suitable for creating detailed and informative charts.
• Active Community
  The Core Plot library has an active community of developers that contribute to the repository and provide support through forums and documentation.

Possible disadvantages

• Complexity
  The library can be complex to use, especially for developers who are new to Core Plot or data visualization, due to its extensive feature set.
• Limited Documentation
  While the community is active, the official documentation may not be as comprehensive as needed, which might hinder the learning curve.
• Performance
  For very large datasets, Core Plot may experience performance issues, as it's not specifically optimized for handling huge volumes of data.
• Learning Curve
  Due to its complexity and feature-rich nature, users may find there is a significant learning curve to effectively utilizing Core Plot.
• Maintenance
  Like many open-source projects, the level of maintenance and speed of updates rely heavily on community contributions, which may result in slower updates or bug fixes.

• Easy to Use
  PNChart provides a simple and straightforward API for creating various types of charts, making it accessible for developers of different skill levels.
• Customizability
  PNChart offers a range of customization options allowing developers to tailor the appearance and behavior of charts to fit the needs of their application.
• Multiple Chart Types
  The library supports a variety of chart types like line, bar, pie, and circle charts, enabling developers to represent data in different visual formats.
• Lightweight
  PNChart is designed to be lightweight, which helps in minimizing the application’s memory footprint and improves performance.
• Active Community
  Being a popular open-source project on GitHub, it has an active community that contributes to its improvement and provides support.

Possible disadvantages

• Limited Advanced Features
  PNChart lacks some advanced features and functionalities that are present in more comprehensive chart libraries, which may limit its usage for complex data visualizations.
• Platform Limitation
  The library is specifically designed for iOS, which limits its usability across different platforms like Android or web applications.
• Maintenance and Updates
  As with any open-source project, there might be concerns regarding the frequency and reliability of updates, which can impact long-term project compatibility.
• Documentation
  The documentation, while helpful, may not be as comprehensive as some developers would prefer, potentially leading to challenges in implementation.
• Performance with Large Data Sets
  PNChart may not handle very large datasets efficiently, which can lead to performance issues or lag in rendering.

• How Fast is SciChart’s iOS Chart?

  To carry out performance tests we've built a iOS Chart comparison application in Objective-C. This application performs a number of identical tests on the four chart providers: Core Plot, iOS Charts, Shinobi and SciChart and outputs the... - Source: dev.to / over 2 years ago

Tracking PNChart since Mar 2021.