Open Source Mac Profiling Software
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Profiling Software for Mac
View 1553 business solutionsBrowse free open source Profiling software and projects for Mac below. Use the toggles on the left to filter open source Profiling software by OS, license, language, programming language, and project status.
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GPerftools
Fast, multi-threaded malloc() and nifty performance analysis tools
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. -
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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.
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The DaCapo Benchmark Suite
Benchmarking tool
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. -
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Cinemagoer
Python package to retrieve and manage data of the IMDb
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. -
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Webgrind
Xdebug Profiling Web Frontend in PHP
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. -
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py-spy
Sampling profiler for Python programs
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. -
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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.
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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.
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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.
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Open|SpeedShop
Open|SpeedShop is an open source multi platform Linux performance tool
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. -
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Magic 7
7 Generic TSQL Scripts to Troubleshoot SQL Performance Problems
"It's not a tool, which fixes a problem, but the fool using it!" (Jörg Stryk) The M7 bunch of scripts should help the EXPERIENCED Troubleshooter to quickly identify bottlenecks and to develop/implement appropriate solutions. "With great power comes great responsibility" (Uncle Ben) -
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Madmap is a tool to help analyze java heap dumps. New in v1.1 it supports hprof ascii and now binary dumps collected with jmap. It helps find memory leaks by showing the live set and automatically calculating which objects retain the most heap size.
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Kieker
Software Monitoring Framework
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. -
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Glassbox is an automated troubleshooting and monitoring agent for Java apps that diagnoses common problems with one-click. Drop in a .war file from http://www.glassbox.com and find out what's wrong with your existing web apps, without any code chang
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Appspy is a user experience profiling tool. With Appspy you will be able to know what your users are doing. Be careful, this may result in dramatic improvements of your software ;-)
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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.
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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.
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FProfiler is a Java Profiler using log4j. Its very fast because it inserts the needed instructions into the byte-code of the class. It can be used to find "Hotspots" in Java programs, libs and servlet environments simply every Java class.
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Graal collects profiling information when interpreting Java Bytecode. This tool gives the user the ability to inspect these Graal internal datastructures easily. Installation instructions are provided in the wiki.
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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.
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This debugger for PHP gives you the ability to inspect and understand what is going on in your application.
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LightProfiler
Profiler for Oracle extended SQL trace files
LightProfiler – application for performance analysis of the Oracle databases. It generates detailed resource profile for extended SQL trace files (10046 event), containing information about consuming of response time (by events, by cursors, etc.), data files usage, error analysis (SQL, PL/SQL) and much more. Also it contain tools for additional processing of trace files (extract session data, splitting files) and for management of database's sessions (disconnecting, tracing, monitor parameters, blocking locks, events and etc.) -
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Restful APIs for Data Cleansing
This is sister project for osDQ which provide Restful APIs
(Beta Version) This is sister project for https://sourceforge.net/projects/dataquality/ . It provides Restful APIs for features for data quality and data preparation features. This project will help projects which want embed data quality and data preparation features in their project or UI using restful calls. Data Cleansing APIs Dockerfile: # Pull base image FROM frnde/jetty-9.4.2-jre8-alpine-cet ADD osdq-v0.0.1.war /var/lib/jetty/webapps/osdq.war EXPOSE 8080 Docker Image https://hub.docker.com/r/vreddym/osdq-web/tags -
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SPE is a python IDE with auto indentation&completion,call tips,syntax coloring&highlighting,uml viewer,class explorer,source index,todo list,pycrust shell,file browsers,drag&drop,Blender support.Spe ships with wxGlade,PyChecker and Kiki.
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.Net Memory Profiler
.Net Memory Profiler
.Net Memory Profiler is a single C# class that builds a tree of specified object's fields, their sub-fields and so on up to primitive types. And in the "Quick Watch" window of the Visual Studio you will be able to see the memory usage by each of those fields. For more details see screenshots.
