aachartmodel/aachartkit

๐Ÿ“ˆ๐Ÿ“Š๐Ÿš€๐Ÿš€๐Ÿš€An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area,...

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 14th, 2026
Created on March 17th, 2017
Open Issues & Pull Requests: 336 (+0)
GitHub issues: Enabled
Number of forks: 745
Total Stargazers: 4,768 (+0)
Total Subscribers: 73 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.7 hours
Mean response time: 32.8 days
90th percentile: 18.8 days
Tracked items: 49

Most active contributors

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How this project is maintained

95% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 74% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 21
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 581 days
Stale 30+ days: 21
Stale 90+ days: 20

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • helpful (21)
  • enhancement (6)
  • duplicate (5)
  • AAChartKit-Swift (2)
  • Pro (1)
  • area chart (1)
  • bar chart (1)
  • column chart (1)

Most active issues this week

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Detailed Description

AAChartKit is a declarative data visualization framework for iOS, iPadOS, and macOS that renders interactive charts through a WebView-based approach.

The tool addresses the need for rich, animated charting on Apple platforms by wrapping Highcharts functionality in an Objective-C interface. Rather than implementing chart rendering natively, it uses a declarative model to configure charts and displays them through an embedded web view, allowing developers to leverage Highcharts' extensive chart capabilities without reimplementing them for native code. This approach provides access to a wide range of chart types including line, spline, area, column, bar, pie, scatter, bubble, box plot, funnel, waterfall, polar, and gauge charts, along with variants like stacked and range charts.

Developers should choose this tool if they need comprehensive charting support across Apple platforms and are comfortable with the WebView rendering model. It suits projects requiring diverse chart types and animated visualizations without the overhead of building custom rendering logic. The framework is particularly valuable when you need many chart varieties rather than optimizing for a single specialized type.

The project shows consistent maintenance with regular updates addressing issues and adding refinements. Pull requests receive timely review and integration. The codebase demonstrates active engagement with user-reported problems and feature requests. Documentation and examples are maintained to support adoption and troubleshooting.