Projects sharing features with Speedscope

Easy Profiler is a performance profiling library for C++ applications designed to measure execution duration and identify bottlenecks. It provides a framework for instrumenting code blocks to track performance metrics, allowing for the analysis of thread activity and system behavior through detailed timeline visualization. The library distinguishes itself by utilizing scope-based instrumentation to automatically track code lifecycles, minimizing manual overhead. It employs thread-local buffering and asynchronous data flushing to reduce synchronization contention, ensuring that performance dat

React Scan is a diagnostic utility and performance auditor designed to monitor the rendering lifecycle of components within user interfaces. It functions as an automated analysis tool that tracks component re-render cycles and execution timing to identify performance bottlenecks in real time. The tool distinguishes itself by providing visual feedback through a persistent overlay injected directly into the application. By instrumenting the reconciliation process and observing component state and props, it highlights specific rendering patterns that contribute to performance degradation. This

gops is a command-line diagnostic toolset for monitoring, profiling, and managing the runtime state of active Go applications. It functions as a runtime diagnostic tool that provides a focused interface for analyzing memory, profiling performance, and monitoring the health of running processes. The tool provides a set of specialized utilities including a performance profiler for capturing CPU and heap profiles, a memory analyzer for identifying leaks and triggering garbage collection, and a process monitor for discovering running binaries and visualizing process hierarchies. The project cove

Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a high-throughput trace recorder, a SQL-based query engine, and a browser-based visualizer into a single toolchain. The platform covers CPU scheduling and call-stack profiling, native and Java heap memory allocation tracking, GPU and graphics events, and system-wide counters such as CPU frequency and power consumption. The architecture decouples trace recording from offline analysis, using a compact protobuf format for event encoding and columnar storage for efficient SQL queries. The we

This project is a profiling utility written in Rust that captures, transforms, and visualizes function call stacks to identify system performance bottlenecks. It functions as a sampling profiler wrapper that converts raw profiling data into interactive flamegraphs, which are hierarchical maps of resource consumption. The tool provides specialized integration with the Rust build system to profile binaries and performance benchmarks. It also allows for custom profiling configurations, enabling users to override default system profiling tools or recording flags to control how data is collected.

This project is a performance analysis suite for Python applications, providing tools for both application-wide profiling and granular code benchmarking. It enables developers to identify execution bottlenecks and measure function call frequency through a combination of deterministic tracing and statistical sampling methods. The tool distinguishes itself by offering a terminal-based interactive interface that allows for real-time navigation and filtering of complex call stacks. It supports non-intrusive data collection through signal-based process interception, enabling performance monitoring

Snowflake is a high-concurrency RPC framework and distributed ID generation service. It provides the infrastructure to create unique, time-ordered identifiers across a network of servers and facilitates the development of network services designed to handle massive volumes of simultaneous requests. The system separates low-level transport logic from application behavior, allowing for the implementation of custom RPC protocols. It includes a distributed request tracing tool to visualize execution flow across network boundaries and a server lifecycle management interface to adjust logging level

core-decorators is a JavaScript class decorator library and framework utility for extending class functionality. It provides a collection of tools for implementing class behavior mixins, automating method binding to avoid manual constructor configuration, and verifying that subclass methods correctly override parent methods. The library includes a code deprecation toolkit for flagging obsolete methods with console warnings and a function execution profiler for measuring performance and duration. It further enables the modification of class and method behavior through a system of custom decora

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

Firefox is a cross-platform web browser engine designed to render web content, execute JavaScript, and manage secure browsing sessions. It utilizes a multi-process isolation architecture that distributes browser tasks across independent operating system processes to ensure stability and prevent site-specific failures from impacting the entire application. The engine incorporates a sandboxed execution environment to restrict web content and untrusted scripts to isolated memory compartments, enforcing security policies that prevent unauthorized access to system resources. The project distinguis

FlameGraph is a performance profiling and visualization toolkit designed to identify bottlenecks in software execution. It functions as a processing engine that transforms raw stack trace samples into interactive, hierarchical diagrams. By representing aggregated execution frequency as nested rectangles, the tool allows developers to visualize hot code paths and analyze system behavior across both kernel and user-space environments. The project distinguishes itself through its ability to perform differential profile analysis, which highlights performance regressions or improvements by compari

This project is a comprehensive technical guide and diagnostic manual for analyzing memory, performance, and asynchronous behavior within Node.js applications. It provides detailed methods for asynchronous tracing, memory diagnostics, and performance analysis to resolve runtime errors and execution bottlenecks. The resource distinguishes itself by covering advanced diagnostic workflows, including the use of flame graphs for CPU profiling, the capture and comparison of heap snapshots for memory leak detection, and the mapping of asynchronous call stacks. It also provides technical guidance on

Tinymist is a comprehensive suite of tools for Typst document authoring, serving as a language server, document compiler, and project manager. It provides a standardized language service via the Language Server Protocol to enable editor features such as autocompletion, navigation, and semantic highlighting. The project distinguishes itself by integrating a TCP-based live preview server for real-time visual rendering and an advanced static analysis tool that utilizes abstract syntax trees and bidirectional type checking. It also includes a project management system capable of handling multi-fi

Async-profiler is a sampling profiler for Java applications that tracks CPU time and stack traces across execution frames to identify performance bottlenecks. It is designed to capture profiling data without introducing timing bias. The project provides capabilities for JVM memory analysis to locate native and heap allocation hotspots and memory leaks. It also includes system contention analysis to identify resource bottlenecks through the tracking of contended locks and hardware performance counters. The tool converts raw profiling data into visual performance reports, including interactive

This project is a performance analysis tool for Ruby applications using the Rack interface. It monitors request execution times and resource usage, serving as a profiler for web applications to measure latency and identify bottlenecks. The tool provides specific analyzers for database query performance, memory allocations, and garbage collection statistics. It generates call stack flamegraphs to visualize time distribution across methods and renders speed badges and timing metrics directly onto HTML pages. The system covers broader performance profiling capabilities including custom code blo

Samply is a cross-platform CPU sampling profiler and performance analysis utility. It consists of a command-line tool for recording process stack traces at regular intervals and a visual interface for analyzing the resulting execution data. The system includes a debug symbol resolver that maps raw memory addresses to human-readable function names using local or remote symbol information. It transforms recorded execution data into flame graphs and timelines to pinpoint function-level hotspots. The tool provides capabilities for CPU execution recording, stack unwinding, and symbol resolution a

PerfView is a set of integrated profiling and tracing tools built on Windows Event Tracing for Windows (ETW), designed to diagnose CPU, memory, and ETW-based performance issues in .NET applications. It captures ETW events to analyze runtime behavior, CPU usage, and memory allocations, serving as a .NET performance profiler that measures both CPU time and garbage collection events. The tool distinguishes itself with a diff comparison engine that compares two performance traces side-by-side to highlight changes in method costs and event rates. It renders profiled call stacks as flame graphs whe

Laravel Debugbar is a diagnostic utility and development toolbar designed for the Laravel framework. It functions as an application profiler that monitors runtime performance, memory usage, and database queries to assist in identifying bottlenecks during the development process. The tool integrates directly into the browser, providing a visual interface that displays request data, application state, and performance metrics. By utilizing a collector-based architecture, it aggregates information from various internal framework events and middleware, allowing developers to inspect the applicatio

Booster is an Android app build optimizer and bytecode manipulator designed to reduce binary size, fix system-level crashes, and improve application performance. It functions as an extensible build process plugin that modifies compiled class files and build artifacts to inject stability fixes and optimizations without altering the original source code. The project differentiates itself through low-level bytecode manipulation to patch OS-level bugs and manage thread pools during the compilation phase. It also provides a performance profiling toolkit to identify main-thread blocking operations

btrace is a JVM dynamic tracing tool and performance profiler used for injecting safe instrumentation scripts into a running Java Virtual Machine without requiring a process restart. It functions as a Java agent framework and a Model Context Protocol server, exposing JVM diagnostic operations and tracing tools to large language models and AI assistants. The project distinguishes itself by enabling real-time code injection and bytecode-level instrumentation via a secure binary protocol. It ensures production stability through a static safety analysis engine that blocks unstable code patterns,

Pixie is an open-source observability platform for Kubernetes that uses eBPF to automatically capture telemetry data from clusters without requiring any manual instrumentation or code changes. It functions as an eBPF telemetry collector, a continuous application profiler, a network traffic analyzer, and a scriptable telemetry query engine, all within a single Kubernetes-native tool. The platform distinguishes itself through several integrated capabilities. It continuously samples stack traces from compiled-language code to identify CPU performance bottlenecks, visualizing the results as inter

DoKit is a frontend development debugging toolset designed for web and mobile applications. It provides a suite of utilities for intercepting network traffic, mocking API responses, inspecting UI hierarchies, and monitoring mobile app performance. The project is distinguished by its focus on hybrid app inspection, allowing developers to execute scripts within web views and browse internal application sandboxes. It includes a visual UI audit tool with alignment rulers and color pickers to verify that interfaces match design specifications, as well as a diagnostic system that tracks CPU usage a

MangoHud is a Linux hardware monitor and performance overlay that displays real-time metrics and frame rates. It functions as a graphics API hook, intercepting Vulkan and OpenGL pipelines to render performance data directly onto the graphics buffer. The project serves as both a real-time monitor for CPU and GPU utilization, temperatures, and power draw, and a frametime data logger that records execution speed to disk for later benchmarking and analysis. Users can modify the overlay display, visual styles, and active metrics through configuration files, environment variables, or predefined pe

DeepFlow is an eBPF observability platform that provides a suite for continuous profiling, distributed tracing, service dependency mapping, and unified telemetry storage. It functions as a monitoring system that collects metrics, traces, and profiles without requiring manual application instrumentation or modifications to source code. The platform distinguishes itself through the use of protocol-aware packet parsing to reconstruct request chains and automated service dependency mapping to visualize interactions between applications and infrastructure. It utilizes a telemetry data store design

sysbench is a database and system benchmark tool used to measure the throughput and latency of database systems and hardware components. It functions as a multi-threaded workload generator and hardware performance profiler designed to determine how systems perform under heavy load. The project serves as a scriptable benchmark engine, allowing for the definition of custom performance scenarios through scripts. It simulates real-world traffic patterns by generating random data based on mathematical probability distributions, such as Zipfian, Gaussian, or Pareto. Capabilities cover database per

The diagnostics project provides a cross-platform diagnostic infrastructure and command-line toolkit for monitoring runtime performance, analyzing memory dumps, and troubleshooting applications. It features a custom inter-process communication protocol for command and telemetry exchange across platforms, a low-overhead event pipe mechanism for streaming real-time diagnostic events and performance counters from running processes, and automated remote symbol resolution for stack trace analysis. The platform includes native debugger extensions that integrate with standard debuggers to inspect ma

magic-trace collects and displays high-resolution traces of what a process is doing