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MiniProfiler avatar

MiniProfiler/rack-mini-profiler

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Rack Mini Profiler

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 block tracking, profiling data export to remote URLs, and production performance sampling. It includes mechanisms for profiling data persistence across different storage backends and implements access control to restrict who can view sensitive performance metrics.

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Features

  • Application Performance Profiling - Analyzes web application performance by measuring request execution times and identifying bottlenecks.
  • Ruby Monitoring Tools - Provides a comprehensive suite of monitoring tools specifically designed for Ruby applications using the Rack interface.
  • Flamegraph Generators - Generates flamegraph visualizations from profiling data to identify the most time-consuming methods in a request.
  • Memory Leak Detectors - Tracks memory allocations and garbage collection statistics to identify memory leaks in Ruby applications.
  • Memory Allocation Tracking - Monitors per-request memory allocations and garbage collection statistics to detect leaks and optimize resource usage.
  • Database Instrumentation - Instruments database drivers to capture timing and statistics for every query executed during a request.
  • Call Stack Visualizers - Generates hierarchical flamegraphs to visualize the application call stack and identify execution bottlenecks.
  • Request Memory Profilers - Provides detailed tracking of per-request memory allocations and garbage collection statistics to identify leaks.
  • Request Performance Metrics - Renders speed badges and detailed timing metrics directly onto HTML pages for every request.
  • Rack Application Profilers - Provides a performance analysis tool specifically for Ruby applications using the Rack interface.
  • Request Middleware - Uses Rack middleware to intercept requests and measure resource usage and execution time across the request cycle.
  • Web Request Profilers - Profiles the execution path and timing of individual HTTP requests to pinpoint bottlenecks in the code.
  • Database Query Optimizations - Tracks query duration and frequency to help identify and optimize inefficient database calls.
  • Query Performance Monitors - Analyzes execution statistics for database queries across various drivers and ORMs to identify slow operations.
  • Request Profiling Sampling - Reduces performance overhead by activating full profiling only for a random subset of incoming requests.
  • Database Query Monitors - Tracks execution time and performance statistics for database queries across different ORMs and drivers.
  • Production Program Sampling - Records performance metrics from a random sample of live production requests to diagnose intermittent slowdowns.
  • Code Block Timing - Allows tracking the elapsed time and resource consumption of specific, user-defined code blocks.
  • Response Body Injection - Renders performance metrics and speed badges as a visual overlay directly within the HTML response body.
  • Monitoring and Observability - Performance profiler for Ruby rack applications.
  • Profiling and Benchmarking - Profiler for development and production Rack apps.
  • Ruby Frameworks and Tools - Performance profiling middleware for Rack.
3,903 stars·424 forks·Ruby·MIT·15 views

Star history

Star history chart for miniprofiler/rack-mini-profilerStar history chart for miniprofiler/rack-mini-profiler

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Projects sharing features with Rack Mini Profiler

These projects share indexed features with Rack Mini Profiler. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • barryvdh/laravel-debugbarbarryvdh avatar

    barryvdh/laravel-debugbar

    19,242View on GitHub↗

    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

    PHP
    View on GitHub↗19,242
  • pixie-io/pixiepixie-io avatar

    pixie-io/pixie

    6,467View on GitHub↗

    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

    C++
    View on GitHub↗6,467
  • nswbmw/node-in-debuggingnswbmw avatar

    nswbmw/node-in-debugging

    6,457View on GitHub↗

    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

    debugdebuggingguide
    View on GitHub↗6,457
  • flamegraph-rs/flamegraphflamegraph-rs avatar

    flamegraph-rs/flamegraph

    5,960View on GitHub↗

    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.

    Rustflamegraphsperfprofiling
    View on GitHub↗5,960
Compare all 30 related projects→

Frequently asked questions

What does miniprofiler/rack-mini-profiler do?

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.

What are the main features of miniprofiler/rack-mini-profiler?

The main features of miniprofiler/rack-mini-profiler are: Application Performance Profiling, Ruby Monitoring Tools, Flamegraph Generators, Memory Leak Detectors, Memory Allocation Tracking, Database Instrumentation, Call Stack Visualizers, Request Memory Profilers.

Which projects share features with miniprofiler/rack-mini-profiler?

Projects with overlapping indexed features include: barryvdh/laravel-debugbar — Laravel Debugbar is a web-based debugging toolbar and application profiler for Laravel. It provides a visual interface… pixie-io/pixie — Pixie is an open-source observability platform for Kubernetes that uses eBPF to automatically capture telemetry data… nswbmw/node-in-debugging — This project is a comprehensive technical guide and diagnostic manual for analyzing memory, performance, and… jazzband/django-debug-toolbar — This project is a web application debugger and profiler for the Django framework. It provides a set of diagnostic… flamegraph-rs/flamegraph — This project is a profiling utility written in Rust that captures, transforms, and visualizes function call stacks to… fruitcake/laravel-debugbar — Laravel Debugbar is a diagnostic utility and development toolbar designed for the Laravel framework. It functions as…