3 repository-uri
Tools and techniques for measuring startup times and execution speeds on physical devices.
Distinct from Performance Analyzers: Focuses on mobile app-level performance (startup/lag) rather than database query or cohort analysis.
Explore 3 awesome GitHub repositories matching testing & quality assurance · Application Performance Profiling. Refine with filters or upvote what's useful.
This is a comprehensive library of code examples and reference implementations for building cross-platform user interfaces with Flutter. The project provides a collection of demo applications and guides designed to illustrate the implementation of design patterns, animation techniques, and testing workflows. The repository features specific demonstrations for native integration, including examples of embedding modules into existing native applications, using platform channels, and bridging native code with the framework. It also serves as an animation reference, providing implementations for
Demonstrates how to measure execution speed and startup timing on physical devices to resolve bottlenecks.
Flipper is a mobile app debugging platform and cross-platform debugging bridge that connects a desktop environment to mobile devices. It provides a desktop tool for inspecting logs, network traffic, and layout hierarchies of mobile applications in real time. The platform is built as a plugin-based developer tool, offering a customizable framework for building visual debugging tools and data inspectors. This architecture allows for the creation of specialized plugins and visualizers to monitor internal application data through the desktop interface. The tool covers several functional domains
Analyzes application state and resource usage on physical devices to optimize mobile performance and stability.
Matrix is a suite of mobile application performance management and analysis tools. It provides a plugin-based monitoring system for capturing crashes, lags, and memory leaks, alongside a static binary auditor for reducing installation package size and a bytecode instrumentation tool for performance tracking. The project distinguishes itself through native memory debugging and a SQLite query linter that identifies inefficient database patterns. It employs native interception techniques to detect memory leaks and heap corruption without requiring source code recompilation, and uses a custom run
Measures frame rates, startup times, and main thread blocking to eliminate interface stuttering.