Open-source alternatives to Pprof

Visualize call graph of a Go program using Graphviz

Speedscope is a web-based performance profiler that visualizes profiling data through interactive flamegraphs and timeline views. It ingests performance profiles from a wide range of sources, including Chrome, Firefox, Safari, Node.js, .NET Core, Instruments, Hermes, GHC, and Ruby, normalizing them into a common schema for unified analysis. The tool distinguishes itself with a canvas-based rendering engine that draws flamegraphs without DOM nodes for each frame, and a WebAssembly-based rendering pipeline for high-performance drawing. It offers left-heavy stack sorting to surface the most time

go-torch is a profiling tool for capturing the execution state of Go programs and transforming raw binary data into visual representations of program performance. It functions as a flame graph profiler and performance visualization utility that identifies expensive code paths through the collection of CPU and memory stack traces. The tool features a network-capable remote process profiler that connects to endpoints to capture and export execution profiles from Go binaries. It utilizes stochastic profiling to synthesize execution data into call graphs, allowing for the identification of bottle

pyinstrument is a statistical sampling profiler for Python that records the call stack at regular intervals to identify performance bottlenecks with low overhead. It tracks wall-clock time, including I/O and external service calls, and provides specialized profiling for asynchronous programs by attributing time spent awaiting tasks to the calling function. The project converts captured execution data into interactive HTML reports, JSON, and flamecharts. It includes a call stack visualizer to simplify the analysis of execution paths and supports the profiling of individual cells within interac

This project is a comprehensive performance programming guide and reference for the Go language, focusing on runtime efficiency and memory optimization. It provides a collection of patterns and techniques designed to increase execution speed by reducing garbage collection overhead and optimizing memory usage. The resource distinguishes itself through detailed reference implementations for memory optimization, such as escape analysis, object pooling, and structure memory alignment. It offers specific strategies for reducing binary size and improving CPU cache efficiency through structure memor

Orbit is a set of specialized tools for C and C++ performance profiling, binary symbol mapping, and remote process and thread analysis. It provides a system for analyzing execution time and resource usage, utilizing a call graph visualizer to map function entries and exits into hierarchical execution flows for individual threads. The project distinguishes itself with a remote process profiler capable of capturing performance data from applications running on remote hosts. It also includes a thread scheduling analyzer that tracks context switches and processor core utilization to visualize thr

Hotspot is a graphical user interface for analyzing and visualizing performance data captured by the Linux perf tool. It functions as a performance profiling visualizer and assembly-level profiler that maps performance costs to specific instructions synchronized with original source code. The project distinguishes itself through a remote symbol resolver that maps performance data from embedded targets to local host debug symbols and sysroots. It also includes a specialized off-CPU analysis tool designed to identify thread wait times and I/O blocks using kernel scheduler tracepoints. The tool

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

Volatility3 is a memory forensics framework and analysis tool used to parse volatile memory dumps. It extracts digital artifacts and reconstructs the runtime state of a system to recover process information, network artifacts, and other forensic evidence. The system functions as a plugin-based forensic engine and an operating system symbol resolver. It maps raw memory addresses to known system structures using symbol tables and translation layers, and provides an extensible architecture for creating custom scanners and renderers. The framework includes a command-line memory explorer for real

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

This project is a multi-protocol API simulation and mocking system designed to replace external dependencies during development and testing. It provides an API mocking server, a network traffic proxy, and specialized simulators for language model services and identity providers. The system distinguishes itself through deep AI simulation capabilities, including the emulation of language model providers and Model Context Protocol servers using JSON-RPC 2.0. It supports multi-turn conversational logic, state tracking for AI chat APIs, and the visualization of agent execution through call graphs

Coz is a suite of profiling tools for C++ applications designed to identify performance bottlenecks through causal analysis and execution tracking. It functions as a performance profiler that tracks operation timing and execution frequency to determine critical paths within a system. The tool distinguishes itself through a causal profiling engine and an optimization simulation engine. These capabilities allow for the prediction of how hypothetical code improvements would impact overall system throughput and latency by simulating the effects of speedups without requiring the software to be rew

This project is a Chinese translation of a comprehensive guide to the Go programming language. It serves as a localized educational resource and technical manual designed to provide guidance on language syntax, design, and software development. The resource covers a broad range of Go language education, including the implementation of programming patterns and system design. It includes translated lessons and examples that focus on core language features such as concurrency and the use of interfaces. The content spans various capability areas, including language fundamentals, data modeling, r

Spyder is a scientific integrated development environment designed for scientific computing and interactive Python programming. It functions as a static analysis code editor and an interactive Python console, providing a specialized environment for writing and analyzing code for science and engineering. The platform distinguishes itself as an extensible development tool, utilizing a modular plugin architecture that allows for the addition of custom features or the embedding of core components into other software. It features a dedicated debugger and profiler for tracing code execution and mea

ExecuTorch is a lightweight C++ runtime for deploying PyTorch models on mobile, embedded, and edge hardware. It provides an ahead-of-time compilation pipeline that exports, quantizes, and lowers model graphs into compact serialized programs, then executes them through a minimal runtime with hardware acceleration and on-device large language model inference capabilities. The project distinguishes itself through a hardware accelerator delegate system that partitions model subgraphs and offloads computation to specialized backends including NPUs, GPUs, and DSPs from Apple, Arm, Intel, MediaTek,

Handle PHP errors, dump variables, execute PHP code remotely in Google Chrome

Visualise Go runtime metrics in real time

Captures console.log/info/warn/error output and HTTP traffic in a collapsible panel — inspect runtime behavior without opening browser DevTools.

Tracer shows the paths of all the Blade files that are loaded into your templates. This could be very convenient for a number of reasons: If you're working on a large project with alot of views/partials New to a project and want to get a quick overview of the structure of pages If you're…

Capture and monitor detailed error logs with nice dashboard and UI

go-spew is a deep inspection library and debugging utility for Go. It functions as a data structure pretty printer that renders complex, nested types into human-readable strings with indentation and type information. The library provides specialized capabilities for visualizing internal program states, including the ability to dump data structures with pointer addresses and map keys. It includes a configuration system to adjust printing behavior, such as limiting recursion depth and setting indentation. The tool uses reflection-based type inspection and recursive tree traversal to handle nes

Visualise Go program GC trace data in real time

🔥 single-command flamegraph profiling 🔥

This project is a JavaScript logging utility and namespace-based debugger used for printing formatted, color-coded debug messages to the console in Node.js, web browsers, and Deno. It serves as a console output formatter and execution time profiler to help identify bugs and track program flow. The system manages debug visibility through named namespaces, allowing specific groups of messages to be enabled or disabled via environment variables. It distinguishes different modules in the output stream by assigning specific colors to these namespaces. The utility includes capabilities for measuri

Rdebug — Real Debugger

{shiny.tictoc} allows you to measure: