6 रिपॉजिटरी
Rendering systems that map vector paths to hardware-accelerated native OS layers.
Distinct from Vector-Based Path Rendering: Distinct from Vector-Based Path Rendering: specifically utilizes native system layers (like CALayers) for hardware acceleration rather than generic mathematical path rendering.
Explore 6 awesome GitHub repositories matching graphics & multimedia · Native Layer Renderers. Refine with filters or upvote what's useful.
lottie-ios is a vector graphics engine and animation framework for iOS that renders animations exported from After Effects as native visual elements. It functions as a renderer that converts animation data into high-fidelity native shapes to maintain small file sizes on mobile devices. The framework provides tools for managing playback, looping, and real-time property updates. It allows for the modification of colors, positions, and keyframe properties of active animations to respond to application state changes. The system parses JSON-based animation data and maps keyframes to native layers
Translates animation keyframes into native Core Animation layers for hardware-accelerated drawing and smooth motion.
This project is a cross-platform mobile development course and educational guide focused on building functional applications from a single codebase. It serves as a structured tutorial and textbook for learning the Flutter framework and the Dart programming language. The curriculum covers the full spectrum of mobile development, from basic UI construction and widget-based layouts to advanced architectural patterns for maintainability and scale. It provides instructional content on implementing business logic, networking, and native plugin integrations. The learning path emphasizes practical a
Explains the rendering pipeline that maps UI elements to hardware-accelerated native OS layers.
Tensorspace is a WebGL-based 3D visualization framework and renderer designed to map deep learning model architectures and tensor data into interactive three-dimensional spaces. It serves as a neural network architecture visualizer and model inspector, allowing users to render model topologies and analyze data flow within a web browser. The project distinguishes itself through its ability to convert pre-trained Keras and TensorFlow models into spatial representations. It integrates with TensorFlow.js to execute inference in the browser, enabling the real-time visualization of intermediate act
Renders a merged layer representing the average operation of multiple input tensors.
Lottie एक JSON वेक्टर एनीमेशन इंजन और क्रॉस-प्लेटफ़ॉर्म प्लेयर है जो रिज़ॉल्यूशन-स्वतंत्र मोशन ग्राफिक्स को रेंडर करता है। यह एक रनटाइम रेंडरर के रूप में कार्य करता है जो JSON-आधारित मध्यवर्ती प्रतिनिधित्व का उपयोग करके Adobe After Effects कंपोज़िशन्स को वास्तविक समय के एनिमेशन में अनुवादित करता है। यह प्रोजेक्ट रनटाइम पर वेक्टर एसेट्स पर डायनामिक नियंत्रण को सक्षम करके खुद को अलग बनाता है। यह पदानुक्रमित की-पाथ्स और डायनामिक थीमिंग के माध्यम से एनीमेशन गुणों, रंगों और प्लेबैक स्टेट्स के प्रोग्रामेटिक संशोधन की अनुमति देता है। यह एनिमेशन को वास्तविक समय के एप्लिकेशन स्टेट परिवर्तनों और उपयोगकर्ता जेस्चर्स पर प्रतिक्रिया करने की अनुमति देता है। यह इंजन हार्डवेयर-त्वरित रेंडरिंग और उच्च प्रदर्शन के लिए मॉडल कैशिंग सहित क्षमताओं की एक विस्तृत श्रृंखला को कवर करता है। यह फ्रेम सीकिंग, सेगमेंट लूपिंग और इवेंट ट्रिगरिंग के लिए व्यापक प्लेबैक नियंत्रण प्रदान करता है, साथ ही एक रेंडरिंग सिस्टम जो 3D कैमरा, शेप मॉर्फिंग और प्रक्रियात्मक वेक्टर जनरेशन का समर्थन करता है। एसेट प्रबंधन को मल्टी-सोर्स डेटा इम्पोर्ट के माध्यम से संभाला जाता है, जो स्थानीय बंडल्स, नेटवर्क URLs और विभिन्न वेक्टर फ़ाइल फॉर्मेट्स का समर्थन करता है।
Updates only the specific layers affected by property changes each frame to maintain high performance.
SVGKit is a graphics framework for the iOS and macOS ecosystems designed for rendering high-performance scalable vector graphics. It functions as a library that utilizes native hardware acceleration to display and interact with vector graphics on Apple platforms. The project provides a programmatic interface for editing vector elements and writing updated files back to disk. It also includes tools to convert vector graphics into rasterized bitmap image formats for use in standard image views. The framework handles the translation of XML-based documents into a hierarchy of hardware-accelerate
Translates SVG elements into a hierarchy of native hardware-accelerated CoreAnimation layers for high-performance rendering.
React Native Gifted Charts is a mobile-first data visualization framework designed for building interactive and animated graphical representations within React Native applications. It functions as a declarative component library that enables developers to render complex datasets through a variety of visual formats, including bar, line, area, pie, and scatter plots. The library distinguishes itself through a native-driven rendering engine that utilizes vector graphics primitives to draw shapes and paths directly on the screen. It supports sophisticated visual configurations such as gradients,
Utilizes native-backed vector graphics primitives to draw shapes and paths directly on the screen for high-performance rendering.