Open Source Linux Performance Testing Software - Page 5
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Performance Testing Software for Linux
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TestCafe
A Node.js tool to automate end-to-end web testing
TestCafe is a Node.js tool for automating end-to-end web testing. All you have to do is set it up, write tests in JS or TypeScript, run them and view the results. There’s no need for WebDrivers or other testing software. Installing TestCafe takes just one minute and one command. TestCafe lets you create smart, stable tests with no manual timeouts. It can run parallel tests, saving you on test execution time, and can even build readable tests with PageObject. TestCafe runs on all popular platforms and environments, from mobile to desktop, as well as remote and cloud browsers. It’s totally free and open source, with plenty of community-made plugins and the freedom to create your own. -
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ThreadAnalyser
Analyses multi-threaded applications without need of the sources.
ThreadAnalyser application allows users to analyse multi-threaded applications without need to have/modify their source code under Linux OS. It provides information about active threads and their stack info, consumed memory, etc. -
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Ununbium is an opensource performance testing tool featuring graphical script recording and parameterization, extensible script types, and scenario execution via xml configuration file.
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ViennaProfiler allows to compare execution times of full programs or parts of a program. Execution times are stored in a MySQL database and conveniently analyzed via a web-interface. A C++ client API is provided, other languages can also be used.
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Tool for testing Web Map Services. It allows to run general random tests of WMS and test based on user-like behaviour.
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The goal of this project is to develop a framework to test and measure the performance of IEEE 802.11 based devices. Currently we aims to address the issues related to protocol conformance testing for a device.
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Zerocopy
Zerocopy makes zero-cost memory manipulation effortless
Zerocopy is a Rust library designed to make zero-cost memory manipulation both safe and effortless. It allows developers to reinterpret or convert raw byte sequences into structured types—and vice versa—without writing unsafe code directly. The crate provides safe abstractions for transmuting data while preserving Rust’s strict safety guarantees, removing the need for manual memory manipulation. Zerocopy introduces a suite of conversion traits such as TryFromBytes, FromBytes, IntoBytes, and FromZeros for defining how types can be safely constructed from or written to byte sequences. It also includes marker traits like KnownLayout, Immutable, and Unaligned to define type characteristics used in conversions. Complementing these traits are conversion macros that perform compile-time checks to ensure size and alignment safety, providing zero runtime overhead for unconditional casts. -
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Zombie.js
Fast, full-stack, headless browser testing using node.js
Insanely fast, headless full-stack testing using Node.js. Zombie 6.x is tested to work with Node 8 or later. If you need to use Node 6, consider using Zombie 5.x. If you’re going to write an insanely fast, headless browser, how can you not call it Zombie? Zombie it is. Zombie.js is a lightweight framework for testing client-side JavaScript code in a simulated environment. No browser required. Zombie will work with other testing frameworks. Since Mocha supports promises. Just like your favorite Web browser, Zombie manages multiple open windows as tabs. New browsers start without any open tabs. As you visit the first page, Zombie will open a tab for it. All operations against the browser object operate on the currently active tab (window) and most of the time you only need to interact with that one tab. You can access it directly via browser.window. You can access all open tabs from browser.tabs. This property is an associative array, you can access each tab by its index number. -
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alio
An "Alternative IO" layer.
The alio library can be dynamically pre-linked to existing executables and replaces file IO (i.e. calls to glibc's IO functions). This allows to gather statistics about IO, create IO trace files, or even implement a different IO behaviour (e.g. use separate IO servers to handle IO). -
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almtools
Collection of Open Source tools for HP ALM
Collection of Open Source and free tools to be used for HP ALM administration, customization, and also end-user usage. This is a community effort. Feel free to use, share and contribute back! -
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axway-ats-examples
Axway Automation Testing System (ATS) - Ready to use examples
VM with ready to run Axway ATS Framework examples -
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Framework for profiling & early performance testing of J2SE, thread based applications. Integrates into the Maven build-cycle. Closely integrates with YourKit profiler to produce automatic CPU profiling of you application.
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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.
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bemap
BEnchMarks for Automatic Parallelizer
BEMAP (BEnchMarks for Automatic Parallelizer) is a benchmark used to measure performance for an automatic parallelizer. All OpenCL code benchmarks covered in this project are done step-by-step along with hand-tunning. Each tuning step executional time are measured in details with a comprehensive user interface and help option. The exact implementation in native code (C++) is also provided in each project folder for reference. By using these benchmarks, one may analyze: 1. How to tune/optimize the auto-parallelizer's compiler 2. Whether the appropriate optimization procedure is provided within the compiler This project is partially funded by the Department of the New Energy and Industrial Technology Development Organization (NEDO). -
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Test harness designed for performing benchmarking and integration tests. Ideally suited for database scalability benchmarking, concurrency testing and anything that requires a complex series of tests.
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coarrays
A free Fortran 2008, 2018 coarrays course with notes and exercises
Coarrays are native Fortran means for SPMD parallel programming. At runtime multiple copies of the executable (called images) are executing asynchronously. The F2008 standard provides coarray syntax, remote calls, coarray data objects, allocatable coarrays, syncronisation, atomics, etc. F2018 adds new functionality, e.g. collectives, teams, events, more atomics. Coarrays are used extensively in CASUP library for HPC (https://cgpack.sourceforge.io). The course is aimed at experienced Fortran users. Working knowledge of Fortran is assumed. The course is designed for a 1 day study with an instructor. Multiple exercises with full solutions are accompanied by notes. This course is taught to the University of Bristol HPC users. Exercises have been verified with Intel and GCC/OpenCoarrays. All course materials are released under BSD license. We welcome contributions, provided you are happy to release your work under BSD license. We welcome comments and problem reports. -
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cpuplot
Command Line profiler of CPU usage
cpuplot Command Line Profiler of CPU Usage and Load Average. Synopsis: BASH script that shows the history of CPU usage, and what procces uses the most CPU at a given time. Bar graphs represent the percentage of Total CPU Usage, and the percentage of Total 1 Minute Load Average. Default wait interval between system readings is 5secs. But a different one can be set in the command line with the "-i" argument. Default output is formatted for the standard console width of 80 columns, and will show only the bar chart for the CPU usage. To change this, use the "-w" argument explained below in the "usage" section. Developer: Ismael Antadillas BSD 3 License Usage: cpuplot -i [seconds] -w [small medium large xlarge] -
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dockerize
Utility to simplify running applications in docker containers
Utility to simplify running applications in docker containers. dockerize is a utility to simplify running applications in docker containers. It allows you to generate application configuration files at container startup time from templates and container environment variables. generate application configuration files at container startup time from templates and container environment variables. Wait for other services to be available using TCP, HTTP(S), unix before starting the main process. The typical use case for dockerize is when you have an application that has one or more configuration files and you would like to control some of the values using environment variables. Another use case is when the application logs to specific files on the filesystem and not stdout or stderr. This makes it difficult to troubleshoot the container using the docker logs command. -
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Simple monitoring utility to help optimizing a (MySQL) database server. Run the utility for a time to record queries on the database. Generate reports while the utility is running or afterwards. Reports are available as text or excel-sheets.
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forever
CLI tool for ensuring that a given script runs continuously
A simple CLI tool for ensuring that a given script runs continuously (i.e. forever). Note that this project currently fully depends on the community for implementing fixes and new features. For new installations we encourage you to use pm2 or nodemon. If you are using forever programmatically you should install forever-monitor. There are two ways to use forever: through the command line or by using forever in your code. Note: If you are using forever programatically you should install forever-monitor. You can use forever to run scripts continuously (whether it is written in node.js or not). In addition to passing forever the path to a script (along with accompanying options, described above), you may also pass forever the path to a JSON file containing these options. The forever module exposes some useful methods to use in your code. Each method returns an instance of an EventEmitter which emits when complete. -
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Note: this tool has moved to github, this repository is not maintained any more. See https://github.com/turdusmerula/ftrace GScopeLog is a tool for instrumenting c++ code through gcc. The main purpose is to trace entry/exit point of functions. A status file may be generated to give overview of functions calls and timing informations with minimal impact on performances.
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gcRadar
A library for monitoring the garbage collection of app objects
gcRadar is not a static code anayser but it is a library using which is ment to beused in your source code and it will monitor and report the lifetime events of yuor objects. gcRadar can provide this information by using callbacks, log4j & polling. gcRadar can monitor entities ranging from individula objects to full object trees comprising of is-a & has-a relationships. By using gcRadar you can monitor the lifetime of the objects that are created by your application in runtime, gcRadar enables the application to be aware of the memory constaraints that arise at runtime. The workings of the mythical Java Garbage Collector have for long eluded the common developer. Now by gcRadar enable you to record the life and death of objects at runtime. -
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improved jmeter xpath plugins
xpath plugin for jmeter with local namespace prefixes
This is a clone of the "normal" xpath asserter and extractor for jmeter. The improvment, which, at least, is essential to me, is that you can define the namespace prefixes locally in the test element (asserter or extractor).
