A highly customizable and easy-to-use charts library for iOS, built with Swift.
SwiftCharts is an open-source library for creating charts and graphs in iOS applications. It provides developers with a comprehensive toolkit for rendering various chart types like bars, lines, and scatter plots, solving the need for customizable and interactive data visualization within native iOS apps. Its core design emphasizes flexibility through a modular layer system.
iOS developers and mobile app teams who need to integrate sophisticated, customizable charts into their applications without relying on third-party commercial SDKs.
Developers choose SwiftCharts for its deep customization capabilities and modular architecture, which allows for creating unique chart designs and behaviors not easily achievable with more rigid libraries. Its use of native UIViews and Swift makes it a natural fit for the iOS ecosystem.
Easy to use and highly customizable charts library for iOS
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Charts are built by composing layers, enabling easy creation of new chart types and combination of existing ones without modifying the core library, as emphasized in the README's philosophy section.
Everything from colors and labels to animations and interactions is fully customizable, allowing developers to precisely match app design systems, as stated in the features list.
Uses generator functions to create custom UIViews for chart points, making it straightforward to add markers, overlays, and interactive elements, as highlighted in the interactive elements feature.
Supports multiple chart types including bars, lines, scatter plots, areas, and candlesticks, catering to diverse data visualization needs in financial, educational, and dashboard apps.
The README explicitly states the project is not maintained anymore, posing risks for bug fixes, iOS compatibility updates, and long-term support, which is critical for production apps.
Low-level examples in the README show verbose code for basic charts, requiring a steep learning curve and more boilerplate compared to simpler, drop-in chart libraries.
Key features like zooming and panning are marked as unreleased, and pie charts or legends require separate repositories, adding complexity and potential integration issues.