Open Source C++ Profiling Software

OProfile is a low-overhead, transparent profiler for Linux, capable of instruction-grain profiling of all processes, shared libraries, the kernel and device drivers, via the hardware performance counters.

(Diver is in the process of being moved to GitHub. Please find us at https://github.com/thechiselgroup/Diver. Support requests & messages sent here may never be seen.) Dynamic Interactive Views For Reverse Engineering. Div/er is a set of Eclipse Plugins that aid developers in understanding software. It uses dynamic analysis and reverse engineering to offer views and filters that aid comprehension and discovery.

ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a significant (but small) data set selected by the developer. The data collected is cross-referenced with the original source and can be interactively analyzed graphically to determine the best parallelization candidates and techniques.

Luke StackWalker is a GUI-based C/C++ source code profiler for Windows. It samples your application's stack while the application is running to find out where the application spends most of its time.

Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db.

SLOCCount is an easy-to-use tool that counts Source Lines of Code (SLOC). It auto-determines the language(s) (inc. C, C++, Ada, Assembly, shell, COBOL, C#, Fortran, Haskell, Java, LISP/Scheme, Perl, PHP, Python, Ruby, SQL). It also estimates cost & time.

The fastest malloc we've seen; works particularly well with threads and STL. Also: thread-friendly heap-checker, heap-profiler, and cpu-profiler.

KCachegrind visualizes traces generated by profiling, including a tree map and a call graph visualization of the calls happening. It's designed to be fast for very large programs like KDE applications.

This project born a few years ago when I encountered a fatal bug on a production environment, unfortunately not replicable on my development machine. I spent many time finding a solution, using also freeware and commercial third-party tools and libraries, but none helped me because the bug crashed the process, and no of the above tools could be able to catch the exception before the process dying. Also, it was not possible to install a development environment onto the production machines, so the only solution was to develop a debugger which didn't need any user/developer interaction. I used many open source resources, then I decided to make the Bug Finder an open source project. It is built over a pluggable architecture to support other languages different from Borland Delphi (the one I used to develop my faulting application and the Bug Finder too). Here is the article http://www.codeproject.com/Articles/602794/Bug-Finder-a-real-Win32-extensible-passive-debugge .

Libinstrument is a complete and easy way to do custom function instrumentation for C/C++. The project comes ready with classic applications of instrumentation, such as AOP (Aspect Oriented Programming), Concern and Side Effect injection, stack tracing, exception tracing, basic time profiling, callgraph profiling and other. A GC (Garbage Collector) module is also under development. Libinstrument is highly portable and decoupled. The project comes with a CMake build system, integration with IDEs (CLion, Eclipse e.t.c) is straightforward. Using lazy algorithms there is virtually zero overhead in benchmarks and minimum overhead in execution time. Libinstrument tries to be as non-intrusive as possible, while trying to help the developer offering basic reflection. There are Unit Tests for each class and method, testing is driven with CTest.

Developer tool for automatic runtime tracing software errors with various resources. Number of resources virtually unlimited.

Library for dynamic tuning of program parameters for best performance of program.

A C++ implementation of Eclipse Modeling Framework.

The goal of this project is to develop the OS-independent, obtrusive, customizable, extensible, generic logging and tracing software mechanism.

FunctionCheck is a profiler for C/C++ programs, based on gcc V4.6.3+. Features are flat profile, cycles detection, call-graph, MIN/MAX time in functions, memory profiling, profiling control at execution...

Open|SpeedShop is an open source multi platform Linux performance tool which is targeted to support performance analysis of applications running on both single node and large scale IA64, IA32, EM64T, AMD64, PPC, Blue Gene, ARM and Cray platforms.

Provide a gui for the Valgrind suite (a Linux, BSD and Mac profiler).

massiftool is a simple, lightweight tool to examine and visualize (create graphs from) the output of valgrind's massif, written in C++/Qt

The Artemus Project aims to create tools for the analysis of C# and PowerPC assembly code on the Xbox 360 using XNA Game Studio. These tools will allow XNA Game Studio developers to identify sections of code that may negatively impact performance.

IA-32/64 (x86) CPU Virtualization library.

CQSAT is a powerful, comprehensive and extensible framework for static analysis of program source code and detection of software defects.

This project is now maintained at GitHub: https://github.com/DigitalInBlue/Celero Celero is a cross-platform open source C++ benchmarking library. Written with an API similar to Google Test, Celero utilizes C++11 features, offers tested benchmarking capabilities with microsecond precision, baselining, fixtures, and easy test setup. Use the baseline feature to measure/benchmark algorithm performance against a known case to more accurately rate performance of solutions.

This is a profile tool, it will analyze your source code and give you data to measure the quality of the project you are doing.

Please take a look at our project wiki for more detailed information: https://github.com/monsdar/CxxProf/wiki/What-is-CxxProf%3F