Open-source alternatives to Tracy

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

Pyroscope is a continuous profiling platform designed to collect, store, and visualize application performance data. It functions as an application performance management suite that tracks historical resource usage to identify bottlenecks and detect performance regressions over time. The platform distinguishes itself through its use of kernel-level instrumentation and dynamic runtime hooks, which allow for performance monitoring without requiring manual code modifications or application restarts. It employs a sidecar agent architecture to offload telemetry processing, utilizing delta-encoded

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

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

Jupiter is a comprehensive suite for task scheduling, performance observability, service governance, project bootstrapping, and dependency analysis within service meshes. It provides a microservice governance framework to manage service discovery, load balancing, and communication across distributed systems. The project distinguishes itself through a service mesh management tool that analyzes service dependencies and manages multi-data center registration and runtime configuration. It includes a dedicated microservice project bootstrapper via a command-line tool to generate standardized proje

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

htop is a terminal-based system resource monitor and interactive process viewer. It functions as a text-user interface dashboard for overseeing hardware temperatures, load averages, and battery status while providing a comprehensive tool for monitoring and managing system processes. The application distinguishes itself through detailed process lifecycle management, allowing users to kill processes, adjust priorities via renicing, and assign CPU affinity to specific cores. It provides high-level visibility into system behavior through process hierarchy visualization and the ability to inspect

Bashtop is a terminal-based system monitor and resource dashboard for Unix systems, including Linux, macOS, and FreeBSD. It provides a text-user interface for tracking real-time hardware performance and managing system processes. The tool functions as a hardware dashboard that visualizes processor, memory, disk, and network usage. It includes process management capabilities that allow users to filter, sort, and terminate active system tasks directly from the command line. Users can customize the visual appearance and behavior of the monitor through integrated menus or local configuration fil

Linux-dash is a self-hosted system monitoring dashboard and web interface designed to track real-time hardware and software performance metrics on Linux servers. It functions as a lightweight remote monitoring panel that displays the operational state of a Linux environment via a web browser. The project is a runtime-agnostic monitoring tool, meaning it is capable of running across multiple different language stacks to match various server environments. The tool provides capabilities for system administration and observability, allowing for the remote management of Linux systems and the coll

Lemon-cleaner is a macOS system cleaner and resource monitor. It provides a suite of tools for removing application junk and temporary files, completely uninstalling software and its hidden support files, and reclaiming disk space through a visual disk space analyzer and duplicate file remover. The project distinguishes itself with specialized capabilities for digital media decluttering, utilizing visual similarity analysis to identify and prune redundant photos. It also includes a system resource monitor that tracks real-time hardware metrics, such as CPU temperature and memory usage, direct

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

Pinpoint is a distributed application performance monitoring and tracing system. It functions as an application performance monitor and topology visualizer designed to analyze the execution behavior of large-scale distributed applications. The system uses bytecode instrumentation to monitor applications without requiring changes to the original source code. It captures call stacks and request flows across interconnected services to visualize system dependencies and generate real-time architectural maps of communication patterns. The platform covers a broad range of observability capabilities

This library provides a programmatic interface for monitoring system resources and managing process lifecycles. It functions as a cross-platform utility that retrieves real-time metrics on hardware utilization and allows for the inspection and control of running system processes. The project normalizes disparate operating system data structures into a unified interface, enabling consistent interaction with kernel-level information regardless of the host environment. By utilizing compiled extensions to interface directly with native system APIs, it provides a consistent way to access performan

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

Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r

Napajs is an embeddable JavaScript engine and multi-threaded runtime designed to be integrated directly into other software applications as a component. It serves as a parallel computation framework that allows JavaScript code to execute across multiple threads, bypassing the standard single-threaded event loop limitation to handle CPU-intensive tasks. The runtime is distinguished by its ability to load and execute modules from the NPM ecosystem and its pluggable execution environment. This architecture allows for custom implementations of memory allocation, system logging, and performance me

HyperDX is an OpenTelemetry observability platform that provides centralized log management, distributed tracing, and a self-hosted monitoring stack. It functions as a unified system for collecting, indexing, and visualizing logs, metrics, and traces from cloud and container environments. The platform distinguishes itself with specialized tooling for large language model monitoring and session replay, allowing user interactions in the browser to be linked to backend telemetry. It employs schema-less JSON parsing to index structured logs dynamically and uses source maps to resolve minified sta

TrafficMonitor is a system performance monitor that provides a floating desktop window and taskbar overlay to track real-time CPU, memory, and network speed metrics. It functions as a customizable system overlay and hardware resource tracker, displaying live statistics and user-defined data through transparent desktop widgets. The project uses a plugin-based system and dynamic-link libraries to extend data sources and add new hardware tracking capabilities. It includes a theme engine that reads external configuration files to apply custom skins, fonts, and background colors to the interface.

This project is a self-hosted application performance monitoring tool designed for Ruby on Rails environments. It functions as a diagnostic platform that tracks request response times, database query efficiency, and background job performance to help identify bottlenecks within web application infrastructure. The tool distinguishes itself by integrating directly into the framework to provide real-time performance insights and developer-focused utilities, such as direct navigation from error reports to the corresponding lines in a code editor. It supports complex analysis by correlating perfor

Open MCT is a web-based framework designed for visualizing telemetry data and monitoring the health of complex systems. It provides a centralized environment for ingesting, processing, and displaying real-time and historical data streams through customizable operator dashboards. The platform is built on a modular architecture that allows for the integration of external data sources and the addition of custom features through a plugin system. By utilizing a hierarchical object-graph model and a unified interface for time-series data, the framework ensures that information is consistently repre

Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program

Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet. The platform distinguishes itself through a declarative infrastructure model that synchronizes n

Excelize is a library for reading and writing spreadsheet files in the Office Open XML format. It provides a comprehensive suite of tools for programmatically creating, modifying, and analyzing workbooks, worksheets, and cell data, ensuring compatibility across various office software suites through structured XML serialization. The library distinguishes itself with a built-in formula calculation engine that evaluates complex mathematical and logical expressions directly against workbook data. It also features a memory-mapped streaming architecture, which allows for the efficient processing o

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

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

Memory Profiler is a diagnostic library for Ruby applications designed to monitor runtime memory consumption and object lifecycles. It provides tools to track object allocations and memory usage, enabling the identification of performance bottlenecks and potential memory leaks that affect software stability. The tool functions by observing memory behavior during program execution, allowing developers to distinguish between short-lived data and objects that persist beyond their intended lifecycle. It captures the execution context of allocations by walking the call stack, which helps attribute