Open Source Linux Profiling Software

The goal of the project is now to develop a user library called libpfm4 to help setup performance events for use with the perf_events Linux kernel interface. The development of the perfmon kernel subsystem, libpfm and pfmon has now stopped.

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.

cloc (Count Lines Of Code) counts, and computes differences of, comment lines, blank lines, and physical lines of source code in many programming languages. cloc is now being developed at https://github.com/AlDanial/cloc

(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.

ebizzy is designed to generate a workload resembling common web application server workloads. It is highly threaded, has a large in-memory working set, and allocates and deallocates memory frequently.

GPerftools (formerly Google Performance Tools) is a collection of a high-performance multi-threaded malloc() implementation, plus some pretty nifty performance analysis tools useful for creating more robust applications. These tools can be especially useful when developing multi-threaded applications in C++ with templates. Among these tools are TCMalloc, a thread-friendly heap-checker, heap-profiler and cpu-profiler.

This benchmark suite is intend as a tool for the research community. It consists of a set of open source, real world applications with non-trivial memory loads.

py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spending time on without restarting the program or modifying the code in any way. py-spy is extremely low overhead: it is written in Rust for speed and doesn't run in the same process as the profiled Python program. This means py-spy is safe to use against production Python code. py-spy works from the command line and takes either the PID of the program you want to sample from or the command line of the python program you want to run. py-spy has three subcommands record, top and dump. py-spy supports recording profiles to a file using the record command. Top shows a live view of what functions are taking the most time in your python program, similar to the Unix top command.

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.

Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency.

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.

Beet adds user behavior and performance tracking to a Spring-based Java app. HTTP requests, method calls, and SQL statements are tracked and associated to user and session. includes XML, binary XML, and JDBC loggers. See http://beet.sourceforge.net.

Tools, information, and practices for creating and operating dependable, complex, distributed, software-intensive systems. * Sense - Measure - Analyze - Respond - Optimize * Keywords: Performance Co-Pilot - PCP - PCPMon - Rjobd

Volta is a suite of development tools for distributed, hard real-time systems. It includes Cascade, a control flow analysis tool for Java, and Clepsydra, a worst-case execution time analyzer. Also included is a Clepsydra plug-in for jEdit.

The Performance Inspector package contains a suite of performance analysis tools for Linux, Windows, AIX, and zOS with an emphasis on Java profiling.

Maatkit (formerly MySQL Toolkit) contains essential command-line tools for MySQL. It is now hosted at http://code.google.com/p/maatkit/ instead of Sourceforge. Please do not use the forums here; use http://code.google.com/p/maatkit/ instead.

JIP is a high performance, low overhead profiler that is written entirely in Java. JIP gives the developer the ability to turn the profiler on and off while the VM is running. You can also filter out classes and packages as well as control the output.

Jensor is a light-weight, low-overhead Java Profiler built using Java BCI. Jensor provides innovative analysis modules like JVM Replay, Pattern Analysis and Tagging Engine for technical as well as business analysis based on the same underlying data.

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...

JRat is the Java Runtime Analysis Toolkit. Its purpose is to enable developers to better understand the runtime behavior of their Java programs. The term behavior includes, but is not limited to performance profiling.

Kieker is a framework for continuous monitoring and dynamic analysis of distributed software systems. Being designed for continuous operation, it induces only a low overhead. The TraceAnalysis tool allows to analyze and visualize trace information.

The sandbox libraries (libsandbox & pysandbox) are an open-source suite of software components for C/C++ and Python developers to create automated profiling tools and watchdog programs. The API's are designed for executing and instrumenting simple (single process) tasks, featuring policy-based behavioral auditing, resource quota, and statistics collecting. The sandbox libraries were originally designed and utilized as the core security module of a full-fledged online judge system for ACM/ICPC training. They have since then evolved into a general-purpose tool for binary program testing, profiling, and security restriction. The sandbox libraries are currently maintained by the OpenJudge Alliance (http://openjudge.net/) as a standalone, open-source project to facilitate various assignment grading solutions for IT/CS education. See project page at https://github.com/openjudge/sandbox for details.

TimeDoctor is a tool to visualize execution traces of tasks, queues, cache behavior, etc. While originally targeting embedded media processors and includes specific features for analyzing audio/video streaming applications it has wider applicability.

Performance Monitoring Tool for Java / J2EE Applications. Features: light-weight profiler, AOP based, lists API times, JDBC / SQL statistics, central logging, cluster support, web UI, call trees, configurable monitoring levels.

Docs: https://pythonhosted.org/TimerMiddleware/ PYPI: https://pypi.python.org/pypi/TimerMiddleware