Flutter UI Libraries

FlutterScreens is a mobile UI component library for Flutter that provides pre-built, customizable screen layouts and widgets for rapid app development. The library offers ready-to-use login screen templates, styled button packs, animated loading indicators, and a view toggle component, all designed to be dropped directly into mobile applications without custom UI development. The components are built around a widget-composition architecture that allows developers to compose reusable widgets with animation-driven state transitions and callback-based interaction handling. Each widget encapsulat

This project is a comprehensive collection of high-performance UI components and SDKs designed for building data-rich, cross-platform applications in Flutter. It provides a unified library of modular widgets and processing tools that enable developers to implement complex interface requirements, including advanced scheduling, tabular data management, and interactive data visualization, using a consistent declarative architecture. The library distinguishes itself through specialized, enterprise-grade capabilities that extend beyond standard UI elements. It includes a robust document processing

fl_chart is a data visualization library and UI component framework for Flutter. It provides a system of reusable graphical widgets for creating interactive, customizable quantitative data visualizations. The framework supports a variety of chart types, including line, bar, pie, donut, scatter, radar, and candlestick views. It allows for the creation of complex visualizations such as layered data segments and financial charts. The library includes capabilities for interactivity and visual refinement, such as touch event handling, data tooltips, and state animations. It also provides tools fo

Getwidget is a comprehensive Flutter UI component library and design system providing over 1,000 pre-built widgets for creating cross-platform user interfaces. It serves as a production-ready widget gallery designed to accelerate the front-end development process through a wide array of pre-composed elements. The project includes a specialized AI interaction UI kit featuring components for rendering streaming large language model responses, RAG chat interfaces, and real-time voice agents. It also provides operational utilities for estimating monthly LLM expenditures based on token usage and p