289 Open source projects that are alternatives of or similar to VisualProfiler-Unity

Web interface for XHProf profiling data can store data in MongoDB or PDO database

Minimum High Performance Middleware for Crystal Web Server.

C++ Profiler For Games

a benchmark for compile-time and/or runtime Nim 🏆

Profile what you care, monitor how it goes (support C/C++)

A performance monitoring system for running on live sites

A code coverage tool for .NET 2 and above (WINDOWS OS only), support for 32 and 64 processes with both branch and sequence points

Defold Profiler interaction using Lua

Cloud Operations Sandbox is an open source tool that helps practitioners to learn Service Reliability Engineering practices from Google and apply them on their cloud services using Cloud Operations suite of tools.

An accurate and simple tool uses KVO to measure the time cost of every view controller.

A C++11 thread pool and profiler

DNTProfiler is an EF 6.x and NH 4.x profiler.

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

Bindings to the Tracy profiler

Yet another Android Profiler for AOSP .trace files

Memory instrumentation tool for android app&game developers.

A simple & straight-to-the-point PHP profiling extension with its built-in web UI

ScoutAPM Elixir Agent. Supports Phoenix and other frameworks.

A general and accurate MACs / FLOPs profiler for PyTorch models

Realtime benchmarks for PHP code

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

Debug Extension for Yii 2

Scripts with example usage of tensorflow profiler

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

🔥 Pyflame: A Ptracing Profiler For Python. This project is deprecated and not maintained.

Twiggy🌱 is a code size profiler

Firefox Profiler — Web app for Firefox performance analysis

Node.js in-process collectors for Instana

A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning.

Memoro: A Detailed Heap Profiler

Automatically monitor the evolving performance of Flask/Python web services.

🦩 Tools for Go projects

Golang application performance data monitoring.

The WebProfilerBundle provides detailed technical information about each request execution and displays it in both the web debug toolbar and the profiler.

Hacking GHC's Stack for Fun and Profit (featuring The Glorious Haskell Debugger v0.0.1 Pre-alpha)

🐦 Simple instrumentation profiler for Rust 🦀

vmprof - a statistical program profiler

A Symfony Pack for Symfony profiler

Kernel profiler based on perf_event and ebpf

Python agent for AWS Lambda metrics, tracing, profiling & analytics

An aggregator and web interface for Live Profiler

Advanced 3rd Party Profiler for Arma

Android GPU Inspector

Source to the Aikar's Minecraft Timings Viewer

Developer Toolbar for Magento2

Ultraleap SDK for Unity.

spark is a performance profiling plugin/mod for Minecraft clients, servers and proxies.

Cross-platform low-footprint realtime C/C++ Profiler

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

(deprecated) Addon to control the Gecko Built-in Profiler

Profile your minecraft server: Find which entities and tile entities are making your server slow

Processes profiling output of the D compiler

This repo, provides query profiler for .Net

An xhgui (with nginx, mongodb and php) container for profiling PHP Applications.

QuickPerf documentation: https://github.com/quick-perf/doc/wiki/QuickPerf

A memory profiler for Python. As easy as adding a decorator!

Rust bindings to google's cpuprofiler

Sniffy - interactive profiler, testing and chaos engineering tool for Java

Proof of concept of a mixed reality application for the Microsoft HoloLens 2 integrating object recognition using cloud computing and real-time on-device markerless object tracking. The augmented objects provide interaction using hand input, eye-gaze, and voice commands to verify the tracking result visually.