perfetto

AI-assisted Perfetto analysis with Web UI, CLI, evidence workflows, reports, and portable runtimes.

Linux, Android and Chromium Performance Tools built using the Microsoft Performance Toolkit. Cross-platform .NET Core + WPA GUI

This is a Model Context Protocol (MCP) server that gets answers from your Perfetto Traces. It turns natural‑language prompts into focused Perfetto analyses.

Development tool for analysing and managing python traces

Build-time Android bytecode instrumentation that adds runtime Trace sections for Perfetto analysis.

A tool to differentiate between two Perfetto traces

Perfetto and Systrace case files used by Android Performance articles for reproducible analysis.

Visualize Performance issues in your JavaScript Applications

A profiling and tracing system for Embedded Rust that visualizes Embassy tasks, function calls, metrics and defmt logs in the Perfetto UI.

High-performance system-wide BPF-based workload tracer with Perfetto-backed trace visualization.

Portable Agent Skill for evidence-based Android, Linux, and Chromium Perfetto analysis.

Perfetto trace analysis via MCP — PerfettoSQL queries plus dedicated Chrome tools for scroll jank, page loads, and main-thread hotspots

AI 驱动的移动端性能分析 CLI 工具 — 通过自然语言交互自动采集 trace、分析性能瓶颈并归因到源码

Android Performance blog: Perfetto, Systrace, Android internals, and real performance case studies.

Python CLI tool for analyzing Perfetto traces and extracting Android performance metrics

strace-perfetto runs strace and converts the raw output to a Trace Event JSON file. The JSON file can then be analyzed using Google's Perfetto UI

🧠 AI-Powered Android performance detection & root-cause analysis SDK — pinpoint jank with multi-dimensional data, then let LLM generate fix suggestions with code examples. Supports GPT / Ollama / DeepSeek.

One timeline for your whole build, no matter how many build systems it's made of.

Map, contracts, and drift checks for Gracker's Android performance projects.

Codex plugin for modern Android app development with Kotlin, Jetpack Compose, Material 3, Gradle, adb, and profiling workflows