Open Source Linux Performance Testing Software - Page 2
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Performance Testing Software for Linux
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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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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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Proxy Tester is a proxy list tester and then it generates a wpad.dat file you can use for your browser based on working servers. wpad.dat file selects a random proxy server from the list of provided working proxy servers with each connection request.
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The project is moved to GitHub: https://github.com/STSSoft/DatabaseBenchmark. We will continue to upload the source and binaries here, but the code repository will be innactive. Database Benchmark is one of the most powerfull open source tools designed to stress test database management systems with large data flows. The application performs two main test scenarios: - Insertion of large amount of randomly generated records with sequential or random keys; - Read of the inserted records, ordered by their keys. Database Benchmark can be used as an additional viewpoint when the research engineers or software architects asses the appropriate background storage engine for their mission critical systems. The application contains useful tools that make it easy to test and evaluate the different solutions.
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SPL Tools
Stochastic Performance Logic testing tools and utilities.
Stochastic Performance Logic (SPL) serves for capturing performance assumptions. With SPL, it is possible to annotate Java functions with assumptions stating, for example, that the annotated function is at most three times slower than array copying. The assumption is then checked at build time in a similar way as standard unit testing. In other words, SPL is about introducing performance assert(). The advantage of SPL in comparison with other similar solutions includes following. SPL formulas uses well-defined logic and statistically sound testing (such as t-test). Next, SPL is aimed at automatic evaluation. And finally, SPL formulas uses relative comparisons (opposed to comparing against fixed time) to provide better portability. -
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miniperf
Perfmon PMU Collecting tool
command line based tool to collect Perfmon Counting data from Hardware PMU C ounters on Intel x86 processors Supported Platforms <> Server - Intel 5th Gen Xeon Processor (Emerald Rapids) -> Core (Raptor Cove) - Intel 4th Gen Xeon Processor (Sapphire Rapids) -> Core (Golden Cove) -> CHA <> Client - Intel 14th Gen Client Processor (Meteorlake) -> P-CORE (Redwood Cove) -> E-CORE (Crestmont) - Intel 13th Gen Client Processor (Raptorlake) -> P-CORE (Raptor Cove) -> E-CORE (Gracemont) -> ARB - Intel 12th Gen Client Processor (Alderlake) -> P-CORE (Golden Cove) -> E-CORE (Gracemont) -> ARB -
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AWK Statistics
awkStatistics generates statistics from csv-data with awk.
AwkStatistics is a script which is used to generate statistical data for csv data by using awk. It takes two columns from the input file, one is used to identify the row(option -i) and the other one is the column where the values are taken from (option -v). The script was designed for performance engineers to be able to analyze CSV-Data on the fly and have a good possibility to automate the analysis process. -
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A simple program evaluating algorithms from sources files using well known and established tools. The goal is to provide nice and clean reports on everything related to algorithms and loops, so minor and / or major changes during the final phase of a project can be easily compared without additional effort, or testing environments. This is a project for a research-paper during my studies, and make no claims regarding it's on completion or usefulness at this time. Thank you.
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ApproxAdderLib
Library of Approximate Adders
We provide MATLAB and Verilog Models of GeAr, and previously proposed adders (ACA-I, ETAII, ACA-II and GDA) at http://sourceforge.net/projects/approxadderlib/ GeAr is a low latency Generic Accuracy Configurable Adder that provides a higher number of potential configurations compared to state-of-the-art approximate adders, thus enabling a high degree of flexibility and trade-off between performance and output quality. These MATALB and Verilog models can allow software programmer as well as hardware designers to evaluate their code and design. To the best of our knowledge, this is the first open-source library of approximate adders that facilitates reproducible comparisons and further research and development in this direction across various layers of design abstraction. This work is a result of collaborative effort between Chair for Embedded Systems (CES) at Karlsruhe Institute of Technology (KIT), Germany and Vision Image and Signal Processing (VISpro) Lab at SEECS-NUST, Pakistan. -
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Boest is an application for stress testing an SAP BusinessObjects Enterprise deployment. It launches a series of tests in parallel from which we can measure performance of the BOE system
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BP-Sim
EFT simulator
BP-Sim allows users to perform an extensive range of tests across the chain of payment services and thus identify potential causes of failures before launching payment systems into production. BP-Sim consists of following modules: BP-Source, BP-Host, BP-HSM and BP-SeeEMV. BP-Source and BP-Host are payment transaction simulators supporting formats as: APACS30, AS2805, many ISO8583 dialects, IFSF, SPDH, TCMP. Together with industry-standard cryptography, multi-platform support, configurable transaction load up to 2000 TPS. BP-Sim HSM module provides an adequate TCP/IP simulation of the Thales Hardware Security Mod. BP-SeeEMV simulates the steps involved in an EMV transaction that take place in the EMV terminal and the Issuer Server (when conducted online). Module can process a transaction one step at a time in step-by-step mode or to certain break-point. -
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This is a simple, modular PHP class designed to record execution time benchmarks throughout different parts of a script. Compatible with virtually any PHP script, the code can be added/removed quickly and with ease. Accurate to the microsecond.
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BigCache
Efficient cache for gigabytes of data written in Go
To meet the requirements presented at the beginning of this chapter, we implemented our own cache and named it BigCache. The BigCache provides shards, eviction and it omits GC for cache entries. As a result, it is very fast cache even for large number of entries. Freecache is the only one of the available in-memory caches in Go which provides that kind of functionality. BigCache is an alternative solution for it and reduces GC overhead differently, therefore we decided to share it. Fast, concurrent, evicting in-memory cache written to keep big number of entries without impact on performance. BigCache keeps entries on heap but omits GC for them. To achieve that, operations on byte slices take place, therefore entries (de)serialization in front of the cache will be needed in most use cases. -
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Blackfire Player
Web Crawling, Web Testing, and Web Scraping application
Blackfire Player is a powerful Web Crawling, Web Testing, and Web Scraper application. It provides a nice DSL to crawl HTTP services, assert responses, and extract data from HTML/XML/JSON responses. Some Blackfire Player use cases: Crawl a website/API and check expectations -- aka Acceptance Tests; Scrape a website/API and extract values; Monitor a website; Test code with unit test integration (PHPUnit, Behat, Codeception, ...); Test code behavior from the outside thanks to the native Blackfire Profiler integration -- aka Unit Tests from the HTTP layer (tm). Blackfire Player executes scenarios written in a special DSL (files should end with .bkf). -
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Bundlesize
Keep your bundle size in check
Add it to your scripts in package.json. Or you can use it with npx from NPM 5.2+. bundlesize accepts an array of files to check. You can give a different file by using the --config flag. If the names of your build files are not predictable, you can use the glob pattern to specify files. This is common if you append a hash to the name or use a tool like create-react-app/nextjs. It will match multiple files if necessary and create a new row for each file. By default, bundlesize gzips your build files before comparing. -
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CAT
CAT is the basic component of the server project
CAT is a distributed application performance monitoring and alerting system that specializes in tracking request flows, exceptions, and metrics across microservice ecosystems. It offers real-time dashboards showing throughput, response times, error rates, and service dependency graphs to help operations and development collaborate on reliability issues. In addition to metrics, it enables tracing—propagating context across RPC boundaries so problems like latency spikes or failed calls can be traced end-to-end. Alert rules and anomaly detection can be defined to notify teams proactively. The system supports multiple data backends and ingestion pipelines to collect data from JVM, C/C++, Python, and other ecosystems. With the collected data, Cat supports analysis of hotspots, trending anomalies, and capacity planning to drive continuous reliability improvements. -
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Java app. to utilise (waste) as much CPU as it can. The application allows the user to create multiple Java threads, each performing a CPU-intensive task tasks with a selectable memory footprint. The options let you 'thrash' the aspect you want.
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Celero
C++ Benchmarking Library
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. -
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Centurion
Simple and powerful tool for benchmarking your code's efficiency
Centurion is a very simple and powerful tool for benchmarking your code's efficiency. How to use it: var my_centurion = new centurion(); Centurion API namespaces: .benchmark - Do a benchmark .status - Check status of benchamark. To see the full API under the namespaces do: "console.log(my_centurion);" Enjoy! -
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Chronological Cohesive Units
The experimental source code for the paper
The experimental source code for the paper, "A Novel Recommendation Approach Based on Chronological Cohesive Units in Content Consuming" -
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Conductor is a Java based, multi-user platform for product agnostic testing. It runs under a web server, contains a UI for test configuration, and contains an optional thin test client.
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In order to assure software performance, software needs to be tested accordingly as early as possible - only weaknesses diagnosed early can be assessed quickly and cheaply. ContiPerf enables performance testing already in early development phases and in an easy-to-learn manner: A developer writes a performance test in form of a JUnit 4 test case and adds performance test execution settings as well as performance requirements in form of Java annotations. When JUnit is invoked by an IDE, build script or build server, ContiPerf activates, performs the tests and creates an HTML report. The report provides a detailed overview of execution, requirements and measurements, even providing a latency distribution chart. A large feature set for execution settings and performance requirements is available, e.g. Ramp up, warm up, individual pause timing, concurrent exection of test groups and more.
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DDMTestbed
An independent Data Distribution Management testbed
DDMTestbed is a testbed that allows you to generate random instances and evaluate your proposed resolutive method measuring execution time, memory occupied and distance from the optimal solution. It has been written in C language. -
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Quite useful library for code diagnosis. As for now it can measure time of working for simple blocks of code, but features like loop or counters are developed.
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Regulador de Temperatura de El Suri (GNU/GPL) Sólo para Linux, testeado en OpenSuSE 11.3 x64 con procesadores Turion X2 El Suri Temperature Control (GNU/GPL) Just for Linux, tested on OpenSuSE 11.3 x64 with Turion X2 processors
