# AAChartKit (AAInfographics)

📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

Repository: https://github.com/AAChartModel/AAChartKit
Canonical: https://ross.abutalabs.com/products/aachartkit
Homepage: https://cocoapods.org/pods/AAChartKit
Language: Objective-C
License: MIT
License Family: permissive
Topics: chart, column-chart, line-charts, pie-chart, bubble-chart, area-chart, radar-chart, polar-chart, draw, stacked-chart, graphics, support-graphics, dynamic, webview, ios-charts, highcharts, hybrid, visualization, chart-types, charting-library
Last push: 2026-05-12T02:31:09+00:00
Link (homepage): https://cocoapods.org/pods/AAChartKit
Link (site_page): https://cocoapods.org/about

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 81, release rhythm 48, longevity 100
- inputs: {"age_days": 3457, "days_push": 114, "days_rel": 134, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4767, forks 745 (observed 2026-08-28T04:08:59.266388+00:00)

## What it is
AAChartKit is an elegant declarative data visualization chart framework for iOS, iPadOS and macOS, built on top of the open-source Highcharts JS library. It supports dozens of chart types including line, spline, area, column, bar, pie, bubble, radar, polar, gauge, funnel, and range charts, with sibling versions in Swift (AAInfographics), Java (AAChartCore), and Kotlin (AAChartCore-Kotlin).

## Use cases
- draw line and spline charts in an iOS app
- add pie charts and donut charts to an iPadOS dashboard
- render animated column and bar charts on macOS
- create radar and polar charts in a mobile app
- visualize data with bubble and scatter charts in Swift or Objective-C
- build stacked and mixed-type charts in an iOS application
- add gauges and funnel charts to a native Apple-platform app

## When to choose
- you need a wide variety of polished, animated chart types on iOS, iPadOS, or macOS
- you prefer a declarative, easy-to-configure charting API over writing raw JavaScript
- you want a mature, MIT-licensed library with Swift, Java, and Kotlin sibling versions for cross-platform consistency

## When to avoid
- you need fully native rendering without a WebView or Highcharts dependency
- your project targets platforms outside Apple devices or Android
- you require chart types or licensing terms beyond what Highcharts-based rendering provides

## Facets
- artifact type: framework
- maturity: active
- function: data-visualization, charts, animation, ui-components
- domain: data-visualization, mobile-development, frontend, graphics
- platform: cross-platform
- tags: highcharts, objective-c, declarative-charts, webview-based, swift-version-available, android-version-available, ios, macos, mobile

## Member repositories
- AAChartModel/AAChartKit (main) score 73
- AAChartModel/AAChartKit-Swift (sdk) score 75
- AAChartModel/AAChartCore-Kotlin (sdk) score 74
- AAChartModel/AAChartCore (sdk) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:59.266388+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:18:49.656942+00:00, confidence not recorded.
  - readme: https://github.com/AAChartModel/AAChartKit (fetched 2026-08-28T04:08:59.266388+00:00, sha 16494f0363b3)
  - homepage: https://cocoapods.org/pods/AAChartKit (fetched 2026-08-29T09:02:09.257703+00:00, sha 03cdf54c4b85)
  - site_page: https://cocoapods.org/about (fetched 2026-08-29T09:02:09.262092+00:00, sha a9a16f869d36)
- Data as of 2026-08-30T08:39:29.467469+00:00.