The Linux perf GUI for performance analysis.

Golang application performance data monitoring.

DEPRECATED StackImpact Go Profiler - Production-Grade Performance Profiler: CPU, memory allocations, blocking calls, errors, metrics, and more

Create a V8 heap snapshot right before an "Out of Memory" error occurs, or create a heap snapshot or CPU profile on request.

DEPRECATED StackImpact Node.js Profiler - Production-Grade Performance Profiler: CPU, memory allocations, async calls, errors, metrics, and more

A better simple reactive system monitor on macOS for your MacBook pro. Built with Electron.

Easy CPU Profiling for Apache Spark applications

Linux OTF2 Sampling

Linux Perf subsystem bindings for Go

Drop-in Node.js admin endpoint to help you analyze production issues.

Instrumentation CPU profiler for Linux and macOS applications

Simple cpu usage scripts with some programming languages

DEPRECATED StackImpact Java Profiler - Production-Grade Performance Profiler: CPU, locks, runtime metrics, and more

Supplementary materials to the article presented at LCPC 2019: "Using Performance Event Profiles to Deduce an Execution Model of MATLAB with Just-In-Time Compilation" by Patryk Kiepas, Corinne Ancourt, Claude Tadonki, and Jarosław Koźlak.

Making your processor faster is a now simple task with the CPU Overclocker!

Performance Counter Measurements at the cycle granularity

Multi platform electron app for getting system informations

Create heatmaps of individual CPU Utilizations over a specified period of time.

Benchmarking for CPU, GPU, Disk, Memory, Network hardwares in cloud computing settings.

small promise interface to v8-profiler functions and express.js helper

Performance profiles of DaCapo benchmarks

Benchmark NodeJS programs against each other (CPU, memory, loadtesting)

Simple demo to show how to use the cpu profilers gperftools, valgrind, perf and gprof

(Deprecated) Hadoop and Spark CPU performance Benchmark

This memory allocator is based on a Segment Allocation Table, which allow multiple heap with different allocation techniques, and provide memory and cpu profiling.

📊 Mobile VR Performance Optimization Project

The below analysis is for the estimation of relative performance values using multiple ML models. See their article (pp 308-313) for more details on how the relative performance values were set.