Performance Monitoring
Showing 36 of 126 projects
A debugging tool that displays real-time framerate (fps) and detects main thread stalls in iOS apps via the status bar.
Continuous regression testing platform that compares software behavior and performance against baseline versions.
A non-intrusive Swift network profiler for debugging and monitoring iOS app requests and responses.
A Java agent that instruments every allocation site in your program, invoking custom callbacks for detailed memory tracking.
A Java library for accurate latency measurement and statistics, correcting for coordinated omission in in-process tracking.
A PHP profiler and developer toolbar for Phalcon applications, providing performance insights and debugging data.
A collection of Erlang performance monitoring and debugging tools, including process/network visualization and safe tracing.
A lightweight, embeddable observability library for Go services offering real-time metrics, function tracing, and a built-in dashboard.
A JVM agent library for production heap profiling with Google perftools-compatible output.
A Ruby gem for monitoring performance and exceptions in Ruby on Rails applications, with both local development and cloud-hosted production modes.
A clean and modern terminal-based system and resource monitor for Linux, written in Go.
A high-performance timer-based profiler for React Native that helps identify significant performance bottlenecks.
Open-source FPS overlay and performance measurement tool for D3D11, D3D12, and Vulkan graphics APIs.
A free, open-source alternative to Spark UI and Spark History Server with enhanced CPU and memory metrics visualizations.
A JVM agent profiler that sends memory, CPU tracing, and CPU load metrics to StatsD, InfluxDB, and other backends.
Adds native DTrace probes to Node.js applications for custom runtime instrumentation.
A Ruby agent that instruments applications to send performance data to Skylight for monitoring and profiling.
A highly customizable and extensible Playwright test reporter with interactive tree-grid reports, coverage analysis, and rich integrations.
A full-featured generic SNMP data collector with a web administration interface for InfluxDB.
Official Elastic APM JavaScript agent for monitoring real user performance and errors in web applications.
A JVM agent that sends function-level profiler telemetry from any JVM process to Riemann for performance analysis.
Automatically adds OpenTelemetry trace spans to Go functions by modifying AST, eliminating manual instrumentation.
AppSignal for Elixir monitors errors, performance, and servers for Elixir applications.
AppSignal for Elixir monitors errors, performance, and servers for Elixir applications with automatic instrumentation.
Grunt plugin that runs phantomas to measure and visualize frontend performance metrics with historical tracking.
An open-source database client for PostgreSQL with automatic ER diagrams, performance analysis, and visual metrics.
A .NET Core tool for real-time performance monitoring of applications, from single processes to microservices, via a web dashboard.
A cross-platform Rust library for retrieving CPU, memory, IO, and file descriptor performance statistics with minimal overhead.
A collection of useful WebGL debugging and development tools packaged as an ES6 module.
A Zsh plugin that displays execution time for long-running commands and exports timing data for scripts.
A web dashboard for analyzing, running, and monitoring JMeter load tests with continuous integration support.
An active monitoring agent for PostgreSQL that collects instance and system metrics and integrates with Zabbix.
A Magento 2 module that integrates Sentry for error logging, performance monitoring, and crash reporting.
A custom HTML element that displays Core Web Vitals metrics directly on web pages for real-time performance monitoring.
A .NET library for high-dynamic-range histograms to accurately record and analyze latency and performance measurements.
A tool and GitHub Action for continuous benchmarking of Go code, visualizing results, and detecting performance regressions in pull requests.
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