List of performance analysis tools

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This is a list of performance analysis tools for use in software development.

General purpose, language independent[edit]

The following tools work based on log files that can be generated from various systems.

  • TimeToPic visualizes a log file. If system has logging facility, its output can be shown on visual timeline. Developer can see from visualization what is happening on log. Can be used for code and "logic" level analysis. There are version for Windows and Linux. Supports log sizes up to 1 Gigabyte.
  • time (Unix) - can be used to determine the run time of a program, separately counting user time vs. system time, and CPU time vs. clock time.[1]

Multiple languages[edit]

The following tools work for multiple languages or binaries.

Name/Manufacturer OS Compiler/Language What It Does License
Allinea MAP[2] by Allinea Software Linux C, C++, Fortran/Fortran90 applications. Performance profiler. Shows I/O, communication, floating point operation usage and memory access costs.

Supports multi-threaded and multi-process applications - such as those with MPI or OpenMP parallelism and scales to very high node counts.

AQtime by SmartBear Software Windows .NET 1.0 to 4.0 applications (including ASP.NET applications), Silverlight 4.0 applications, Windows 32- and 64-bit applications including C, C++, Delphi for Win32 and VBScript and JScript functions Performance profiler and memory/resource debugging toolset Proprietary
CodeAnalyst by AMD Linux, Windows C, C++, .NET, Java (works at the executable level) GUI based code profiler; does only basic timer-based profiling on Intel processors. Based on OProfile.
As of Mar-2013, CodeAnalyst has been replaced by AMD CodeXL (see below).
Free/open source (GPL) or proprietary
AMD CodeXL by AMD Linux, Windows For CPU profiling: C, C++, .NET, Java (works at the executable level).
For GPU profiling and debugging: OpenCL.
A tool suite that includes both GPU and CPU profilers, as well as a GPU debugger and a static kernel analyzer. Free
DevPartner by Borland / Micro Focus .NET, Java Test suite that automatically detects and diagnoses software defects and performance problems. Proprietary
DTrace by Sun Microsystems Solaris, Linux, BSD, Mac OS X Comprehensive dynamic tracing framework for troubleshooting kernel and application problems on production systems in real time. Free/open source (CDDL)
dynamoRIO by RIO [3] Linux, Windows Dynamic binary instrumentation framework for the development of dynamic program analysis tools. Free/open source - BSD
Dynatrace [4] Linux, Windows, iOS, Android, Azure, AWS, AIX, Solaris, HP/UX, zOS, zLinux .NET, Java, PHP, HTML5, Ajax (for web sites), ObjectiveC/iOS, Java/Android, C/C++, CICS, Apache, Nginx, Cassandra, Hadoop, MongoDB, HBase Application Performance Management Proprietary
GlowCode Windows 64-bit and 32-bit applications, C, C++, .NET, and dlls generated by any language compiler. Performance and memory profiler which identifies time-intensive functions and detects memory leaks and errors Proprietary
gprof Linux/Unix Any language supported by gcc Several tools with combined sampling and call-graph profiling. A set of visualization tools, VCG tools, uses the Call Graph Drawing Interface (CGDI) to interface with gprof. Another visualization tool which interfaces with gprof is KProf. Free/open source - BSD version is part of 4.2BSD and GNU version is part of GNU Binutils (by GNU Project)
Intel Advisor[5] Linux and Windows C, C++ and Fortran Vectorization (SIMD) optimization. Find hot loops, ID what is blocking vectorization, check for loop-carried dependencies, analyze memory access patterns and optimize stride and memory footprint. Proprietary. Bundled as a part of Intel Parallel Studio.
Linux Trace Toolkit (LTT) Linux Requires patched kernel Collects data on processes blocking, context switches, and execution time. This helps identify performance problems over multiple processes or threads. Superseded by LTTng. GPL
LTTng (Linux Trace Toolkit Next Generation) Linux System software package for correlated tracing of kernel, applications and libraries GPL/LGPL/MIT
OProfile[6] Linux Profiles everything running on the Linux system, including hard-to-profile programs such as interrupt handlers and the kernel itself. Sampling profiler for Linux that counts cache misses, stalls, memory fetches, etc. Open Source GPLv2
Oracle Solaris Studio Performance Analyzer[7] Linux, Solaris C, C++, Fortran, Java; MPI Performance and memory profiler Free
perf tools Linux kernel 2.6.31+ Sampling profiler with support of hardware events on several architectures. GPL
Performance Application Programming Interface (PAPI) Various Library for hardware performance counters on modern microprocessors
Pin by Intel[8] Linux, Windows, OSX, Android Dynamic binary instrumentation system that allows users to create custom program analysis tools Proprietary but free for non-commercial use
Prism by CriticalBlue Linux, Android C/C++, Java, JavaScript Tool that dynamically traces software applications at runtime to capture data interactions between threads, data dependencies, cache analysis, along with the microprocessor pipeline Proprietary
Rational PurifyPlus AIX, Linux, Solaris, Windows Performance profiling tool, memory debugger and code coverage tool Proprietary
Scalasca [9] Linux C/C++, Fortran Parallel trace analyser Free/open source (BSD license)
Shark by Apple Mac OS X (discontinued with 10.7) Performance analyzer Free
Systemtap Linux Programmable system tracing/probing tool; may be scripted to generate time- or performance-counter- or function-based profiles of the kernel and/or its userspace. Open source
Valgrind Linux, OSX, Solaris, Android Any, including assembler System for debugging and profiling; supports tools to either detect memory management and threading bugs, or profile performance (cachegrind and callgrind). KCacheGrind, valkyrie and alleyoop are front-ends for valgrind. Free/open source (GPL)
VTune Amplifier XE by Intel Corporation[10] Linux, Windows C, C++, Fortran, .NET, Java, Python Tool for serial and threaded performance analysis. Hotspot, call tree and threading analysis works on both Intel and AMD x86 processors. Hardware event sampling that uses the on chip performance monitoring unit requires an Intel processor. Proprietary
Windows Performance Analysis Toolkit by Microsoft[11] Windows Freeware/proprietary
RotateRight Zoom Linux, Mac OS X, Viewer Only for Windows Supports most compiled languages on ARM and x86 processors. Graphical and command-line statistical (event-based) profiler
VisualSim Linux,OS X,Microsoft Windows Supports C/C++/SystemC Graphical modeling and Simulation platform to select, analyze and validate architecture of complex electronics systems for performance, power and reliability. Proprietary

C and C++[edit]

  • Allinea MAP performance profiler supporting Linux platforms
  • AppDynamics Application Performance Management solution for C/C++ applications via SDK
  • IBM Rational Purify
  • AQtime Pro Performance profiler and memory allocation debugger can be integrated into Microsoft Visual Studio, Embarcadero RAD Studio or can run as a stand-alone application.
  • MTuner Memory profiliing, analysis and leak detection tool. Supports multiple platforms.
  • Intel Parallel Studio contains Parallel Amplifier, which tunes both serial and parallel programs. It also includes Parallel Inspector, which detects races, deadlocks and memory errors. Parallel Composer includes codecov, a command line coverage tool.
  • Parasoft Insure++[12] Provides a graphical tool that displays and animates memory allocations in real time to expose memory blowout, fragmentation, overuse, bottlenecks and leaks.
  • Visual Studio Team System Profiler is Microsoft's commercial profiler
  • VSXu has a built-in open source profiler for collecting data, call graphs with a generic data collection back end

(see also "Multiple languages" section above)


  • JConsole is the profiler which comes with the Java Development Kit, it supports all needed features.
  • JProfiler
  • JRockit Mission Control, a profiler with low overhead.
  • Netbeans Profiler, a profiler integrated into the NetBeans IDE (internally uses jvisualvm profiler)
  • Plumbr, Java application performance monitoring with automated root cause detection. Links memory leaks, GC inefficiency, slow database and external web service calls, locked threads, and other performance problems to the line in source code that causes them.[13]
  • Takipi, production debugging, profiling and exceptions tracking.[14]
  • VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling capabilities.



  • CLR Profiler is a free memory profiler provided by Microsoft for CLR applications.
  • GlowCode is a performance and memory profiler for .NET applications using C# and other .NET languages. It identifies time-intensive functions and detects memory leaks and errors in native, managed and mixed Windows x64 and x86 applications.
  • JetBrains dotTrace Profiler is a commercial performance and memory profiler for .NET, Silverlight, .NET CF 3.5, SharePoint, XBAP and XNA Framework
  • Visual Studio


  • Dbg
  • Xdebug is a PHP extension which provides debugging and profiling capabilities.


  • cProfile, profile, and pstats modules are usually built-into Python 2.5+.[15]

See also[edit]


  1. ^ "CodeXL". Retrieved 26 September 2013. 
  2. ^ "MAP - the C, C++ and F90 profiler for high performance and multithreaded Linux applications". Retrieved 5 June 2015. 
  3. ^ "The RIO Project". 1 December 2001. Retrieved 5 June 2015. 
  4. ^ [1]
  5. ^ "Intel® Advisor | Intel® Software". Retrieved 2016-09-08. 
  6. ^ "Smashing performance with OProfile". 16 October 2003. Retrieved 5 June 2015. 
  7. ^ "Oracle Solaris Studio 12.4: Performance Analyzer". Oracle Corporation. 
  8. ^ "Pin - A Dynamic Binary Instrumentation Tool | Intel® Developer Zone". 21 May 2013. Retrieved 5 June 2015. 
  9. ^ "Scalasca". Retrieved 26 January 2016. 
  10. ^ "Intel® VTune™ Amplifier | Intel® Software". Retrieved 2016-09-08. 
  11. ^ "MSDN-the microsoft developer network". 19 May 2015. Retrieved 5 June 2015. 
  12. ^ "Runtime Analysis and Memory Error Detection for C and C++". Retrieved 26 September 2013. 
  13. ^ "Plumbr". Retrieved 29 February 2016. 
  14. ^ "Takipi". Retrieved 1 March 2014. 
  15. ^ "26.4. The Python Profilers". Retrieved 26 September 2013. 

External links[edit]