Open-source alternatives to Orbit

Racket is a general-purpose, multi-paradigm programming language in the Lisp family designed for language creation. It functions as a language workbench, providing a platform for designing and implementing custom programming languages through a flexible system of macros and modules. The system distinguishes itself by offering a comprehensive suite for semantics engineering, allowing for the construction of specialized language subsets and educational layers. It includes tools for custom language design, such as lexer and parser generation, as well as the ability to define module expansion rul

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 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

vprof is a visual profiling tool for Python designed to identify execution bottlenecks and monitor memory consumption. It functions as a CPU and memory profiler that transforms performance data into interactive visualizations to analyze processor time and call stacks. The project distinguishes itself through a suite of visual diagnostics, including flame graphs for stack visualization and heatmaps that map execution frequency and duration directly onto source code. It also includes a remote performance monitor capable of capturing function-specific metrics from a running server and streaming

Visualize call graph of a Go program using Graphviz

cargo-bloat is a binary size analyzer and compilation analysis tool for Rust. It identifies the largest functions and dependencies within compiled executables to locate space-consuming code and reduce the overall binary footprint. The tool functions as a build profile inspector and symbol size profiler, allowing users to analyze how different compiler options and build profiles affect the final binary size. It can export symbol data into human-readable tables or JSON format to monitor the footprint of specific crates. Capabilities include multi-target analysis across different platforms and

NuttX is a POSIX-compliant real-time operating system designed for microcontrollers ranging from 8-bit to 64-bit architectures. It provides a deterministic execution environment with a real-time task scheduler and a POSIX embedded kernel to ensure portable code execution across diverse hardware targets. The project distinguishes itself through a comprehensive hardware abstraction layer that provides standardized drivers for I2C, SPI, CAN, and USB across various semiconductor chipsets. It also features an embedded networking stack supporting TCP, UDP, IPv4, and IPv6, alongside industrial proto

Wild is a binary linker and compiler integration tool used to merge multiple object files into single executable binaries, shared libraries, or static archives. It functions as a replacement for standard system linkers, automating the final stage of the compilation process to generate binaries across different operating system architectures. The project provides custom binary linking and toolchain integration, allowing for the modification of how compilers resolve symbols and determine memory layouts. It specifically handles the organization of machine code and data sections to meet the requi

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

iOS-Runtime-Headers is a collection of Objective-C header files and tooling used to expose private and undocumented iOS system APIs. These definitions are generated through runtime introspection of the live operating system to uncover hidden class methods and properties. The project enables the use of undocumented iOS API definitions for internal Apple frameworks. It provides the necessary header files to allow a compiler to link against private system symbols and verify types for undocumented system calls. The tooling covers several technical areas, including memory-mapped metadata extracti

pprof is a tool for visualizing and analyzing performance profiling data. It converts sampled call stacks into a directed graph rendered as an SVG, enabling visual identification of execution hotspots. The tool also parses Linux perf.data files, converting them into an internal profile representation for further analysis. Beyond visualization, pprof provides a command-line REPL for interactive exploration of profiling data, allowing users to filter, refine, and query performance information on the fly. It generates sorted text reports that highlight the most resource-intensive call stacks, an

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

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

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

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

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

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

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,

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

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

This project is a collection of educational resources and technical guides focused on Go performance optimization. It provides instruction on improving execution speed and reducing memory usage through code and architectural refinements. The guides cover advanced strategies for low-level programming, including the use of assembly for SIMD instructions and unsafe pointers for direct memory manipulation. It also details concurrency optimization techniques such as lock sharding and cache-line padding to reduce contention and improve hardware utilization. The material encompasses broad capabilit

Scrutiny is a distributed hardware monitoring system and predictive drive failure analyzer. It provides a centralized management platform and web-based dashboard for tracking hard drive health and S.M.A.R.T. metrics across multiple remote servers. The system functions as a S.M.A.R.T. alerting gateway and storage health trend visualizer. It estimates hardware risk by comparing drive attributes against real-world failure thresholds and records historical data to identify gradual degradation patterns that may not trigger immediate alerts. Capabilities include distributed data collection via rem

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

Laravel Debugbar is a web-based debugging toolbar and application profiler for Laravel. It provides a visual interface to inspect database queries, logs, and performance metrics in real time to identify and resolve bugs during development. The tool features a database query monitor to capture SQL statements and timings, as well as a request inspector for analyzing route metadata, loaded views, and HTTP request data. It includes a profiler for measuring execution time and memory usage to identify bottlenecks in the request lifecycle. Its observability capabilities cover exception capture, app

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

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

Komari is a self-hosted server monitoring system and cross-platform agent used to track system resource metrics and health across Linux, Windows, and Android servers. It provides a centralized dashboard for observing server performance and managing infrastructure privately. The project features a web-based remote terminal that utilizes bidirectional connections to execute commands and manage remote servers through a shell interface. It also includes a network connectivity monitor for measuring reachability and latency via ICMP, TCP, and HTTP requests, as well as a traffic usage tracker to mon