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facebook/memlab

0
View on GitHub↗
4,981 stars·138 forks·TypeScript·MIT·28 viewsfacebook.github.io/memlab↗

Memlab

Memlab is an automated browser memory profiler and JavaScript memory leak analyzer. It provides a toolkit for detecting and analyzing memory leaks by inspecting and comparing heap snapshots to identify unbound object growth and detached DOM elements.

The system distinguishes itself through an automated leak testing framework that executes end-to-end browser interaction sequences to programmatically isolate memory regressions. It utilizes heap snapshot diffing, retainer chain tracing, and heuristic-based filtering to determine why objects remain in memory and to map the shortest path from garbage collection roots to leaked objects.

The project covers broad capability areas including heap inspection, interaction-based growth analysis, and web component memory profiling. It also includes tools for programmatic memory assertions, visual leak debugging via browser overlays, and the ability to expose analysis data via the Model Context Protocol for natural language exploration.

The toolkit can be triggered via a command line interface for integration into automated continuous integration pipelines.

Features

  • Memory Leak Detection - Provides a comprehensive toolkit for identifying and analyzing memory leaks in web applications.
  • Automated Leak Testing Frameworks - Provides an automated framework that executes browser interaction sequences to programmatically isolate memory regressions.
  • Growth Analysis - Inspects heap snapshots for duplicated strings and expanding object shapes to identify memory inefficiencies.
  • Pattern Recognition - Detects specific heap patterns such as detached DOM elements and global variables to identify memory leaks.
  • Memory Regression - Integrates browser interaction scenarios into pipelines to programmatically detect memory regressions.
  • JavaScript Memory Debuggers - Traces reference chains from garbage collection roots to leaked objects in web applications.
  • JavaScript Memory Leak Detection - Detects JavaScript-specific memory leaks and detached DOM elements that fail to be garbage collected.
  • Memory Profilers - Analyzes memory consumption by React components and hooks to identify unmounted internal nodes.
  • Heap Graph Snapshot Analyzers - Queries object graphs from heap snapshots to identify retained objects and unbound growth.
  • Heap Snapshot Comparison - Implements differential analysis between multiple heap snapshots to isolate objects that persist across interaction cycles.
  • Heap Snapshot Capturers - Provides tools to trigger and save heap snapshots from web applications for offline analysis.
  • Memory Growth Diagnosis - Compares heap sizes across sequences of browser interactions to pinpoint memory growth.
  • Reference Chain Analysis - Generates reference chains from GC roots to leaked objects to explain why memory is being retained.
  • Heap - Monitors object shapes and string counts across snapshots to detect unbound memory expansion.
  • Automated Memory Profilers - Runs end-to-end browser interaction scenarios to programmatically measure and validate memory consumption.
  • Browser Automation - Drives browser interactions through automated sequences of setup, action, and undo steps to isolate memory growth.
  • Leaked Object Identification - Identifies leaked objects and detached DOM elements by clustering retainer traces from heap snapshots.
  • Leak Test Scenarios - Allows configuration of end-to-end interactions, including page loading and action-undo cycles, to identify memory leaks.
  • Retainer Path Tracing - Generates reference chains from garbage collection roots to leaked objects to visualize why memory is retained.
  • Detached DOM Detection - Detects DOM elements that remain in memory after being disconnected from the document tree.
  • Leak Report Filterings - Implements custom filtering logic to exclude specific classes or objects from memory leak reports based on application criteria.
  • Object Graph Tracing - Traces reference chains from garbage collection roots to specific objects to reveal retention reasons.
  • Automated End-to-End Testing - Executes end-to-end browser interaction sequences to trigger and isolate potential memory regressions.
  • UI Component - Analyzes memory consumption of specific UI components and their retainer paths to optimize performance.
  • Memory Footprint Reduction - Includes a command-line toolbox to identify opportunities for reducing the application's memory footprint.
  • Object Reference Path Inspectors - Filters the heap graph to identify the shortest path from a garbage collection root to a leaked object.
  • Cross-Runtime Snapshot Exploration - Provides a programmatic and visual interface to explore heap snapshots from various JavaScript runtimes.
  • Snapshot Object Searching - Enables searching heap snapshots for objects based on their class names or specific property values.
  • Interactive Exploration - Ships interactive commands to view and explore the contents of single heap snapshots.
  • Multi-Snapshot Analysis - Analyzes memory leaks by comparing baseline, target, and final heap snapshots.
  • Object Shape Tracking - Tracks specific object shapes and strings across snapshots to identify items that grow indefinitely.
  • Automated Test Execution - Provides a command line interface to trigger memory analysis runs within automated CI/CD pipelines.
  • Visual Leak Debugging - Ships a browser overlay that highlights detached DOM elements and leaking components to help trace retainer paths.
  • Variability Measurement - Executes test scenarios repetitively to gather data points and isolate real leaks from noise.
  • Retainer Trace Filtering - Filters object references to isolate the shortest path from garbage collection roots to leaked objects.
  • State Assertions - Implements programmatic assertions to validate that the memory state of a program matches expected values.
  • Garbage Collection Assertions - Programmatically validates that specific object types or classes are garbage collected after defined interactions.

Star history

Star history chart for facebook/memlabStar history chart for facebook/memlab

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does facebook/memlab do?

Memlab is an automated browser memory profiler and JavaScript memory leak analyzer. It provides a toolkit for detecting and analyzing memory leaks by inspecting and comparing heap snapshots to identify unbound object growth and detached DOM elements.

What are the main features of facebook/memlab?

The main features of facebook/memlab are: Memory Leak Detection, Automated Leak Testing Frameworks, Growth Analysis, Pattern Recognition, Memory Regression, JavaScript Memory Debuggers, JavaScript Memory Leak Detection, Memory Profilers.

What are some open-source alternatives to facebook/memlab?

Open-source alternatives to facebook/memlab include: nolanlawson/fuite — Fuite is a web application memory leak detector and browser heap snapshot analyzer. It functions as an automated… tencent/mleaksfinder — MLeaksFinder is a diagnostic framework and profiling utility designed for the automatic detection of memory leaks and… nswbmw/node-in-debugging — This project is a comprehensive technical guide and diagnostic manual for analyzing memory, performance, and… bloomberg/memray — Memray is a memory profiler for Python that tracks heap allocations in both Python code and native C or C++… samsaffron/memory_profiler — Memory Profiler is a diagnostic library for Ruby applications designed to monitor runtime memory consumption and… karatelabs/karate — Karate is a Gherkin API testing framework and JVM test orchestrator designed for API validation, workflow automation,…