awesome-repositories.com
Blog
MCP
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoServidor MCPAcerca deCómo clasificamosPrensa
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
Back to phoronix-test-suite/phoronix-test-suite

Open-source alternatives to Phoronix Test Suite

21 open-source projects similar to phoronix-test-suite/phoronix-test-suite, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Phoronix Test Suite alternative.

  • andikleen/pmu-toolsAvatar de andikleen

    andikleen/pmu-tools

    2,233Ver en GitHub↗

    pmu tools is a collection of tools and libraries for profile collection and performance analysis on Intel CPUs on top of Linux perf. This uses performance counters in the CPU.

    Python
    Ver en GitHub↗2,233
  • colinianking/stress-ngAvatar de ColinIanKing

    ColinIanKing/stress-ng

    2,684Ver en GitHub↗

    This is the stress-ng upstream project git repository. stress-ng will stress test a computer system in various selectable ways. It was designed to exercise various physical subsystems of a computer as well as the various operating system kernel interfaces.

    C
    Ver en GitHub↗2,684
  • dfeneyrou/palanteerAvatar de dfeneyrou

    dfeneyrou/palanteer

    2,206Ver en GitHub↗
    C++c-plus-pluscppdeveloper-tools
    Ver en GitHub↗2,206
  • ekondis/mixbenchAvatar de ekondis

    ekondis/mixbench

    463Ver en GitHub↗

    The purpose of this benchmark tool is to evaluate performance bounds of GPUs (or CPUs) on mixed operational intensity kernels. The executed kernel is customized on a range of different operational intensity values. Modern GPUs are able to hide memory latency by switching execution to threads…

    C++
    Ver en GitHub↗463
  • fzj-jsc/jubenchF

    FZJ-JSC/jubench

    0Ver en GitHub↗

    This is the meta-repository for the JUPITER Benchmark Suite, accompanying the same-titled SC24 paper. Each individual benchmark is located in its own repository, which is included here as a submodule.

    Ver en GitHub↗0

Búsqueda con IA

Explora más repositorios increíbles

Describe lo que necesitas en lenguaje sencillo: la IA clasifica miles de proyectos open-source curados por relevancia.

Find more with AI search
  • google/benchmarkAvatar de google

    google/benchmark

    10,240Ver en GitHub↗

    This project is a performance measurement framework and microbenchmarking library designed for C++ and Python. It provides a toolset for measuring the execution time of small code fragments using high-resolution timers, calculating statistical aggregates, and analyzing asymptotic complexity. The framework distinguishes itself through specialized capabilities for multithreaded performance testing, using synchronized execution to measure parallel throughput. It includes mechanisms to prevent compiler optimizations from removing benchmarked code and supports complex parameterization via Cartesia

    C++benchmark
    Ver en GitHub↗10,240
  • hpc/iorH

    hpc/ior

    0Ver en GitHub↗

    This repository contains the IOR and mdtest parallel I/O benchmarks. The official IOR/mdtest documentation[] can be found in the docs/ subdirectory or on Read the Docs.

    Ver en GitHub↗0
  • jlfwong/speedscopeAvatar de jlfwong

    jlfwong/speedscope

    6,501Ver en GitHub↗

    Speedscope is a web-based performance profiler that visualizes profiling data through interactive flamegraphs and timeline views. It ingests performance profiles from a wide range of sources, including Chrome, Firefox, Safari, Node.js, .NET Core, Instruments, Hermes, GHC, and Ruby, normalizing them into a common schema for unified analysis. The tool distinguishes itself with a canvas-based rendering engine that draws flamegraphs without DOM nodes for each frame, and a WebAssembly-based rendering pipeline for high-performance drawing. It offers left-heavy stack sorting to surface the most time

    TypeScriptflamegraphflamegraphsperformance-profiling
    Ver en GitHub↗6,501
  • jonmagon/kdiskmarkAvatar de JonMagon

    JonMagon/KDiskMark

    1,637Ver en GitHub↗

    KDiskMark is an HDD and SSD benchmark tool with a very friendly graphical user interface. KDiskMark with its presets and powerful GUI calls Flexible I/O Tester and handles the output to provide an easy to view and interpret comprehensive benchmark result. The application is written in C++ with…

    C++
    Ver en GitHub↗1,637
  • kdab/hotspotAvatar de KDAB

    KDAB/hotspot

    5,074Ver en GitHub↗

    Hotspot is a graphical user interface for analyzing and visualizing performance data captured by the Linux perf tool. It functions as a performance profiling visualizer and assembly-level profiler that maps performance costs to specific instructions synchronized with original source code. The project distinguishes itself through a remote symbol resolver that maps performance data from embedded targets to local host debug symbols and sysroots. It also includes a specialized off-CPU analysis tool designed to identify thread wait times and I/O blocks using kernel scheduler tracepoints. The tool

    C++
    Ver en GitHub↗5,074
  • koute/bytehoundAvatar de koute

    koute/bytehound

    4,791Ver en GitHub↗

    Bytehound is a Linux memory profiler that utilizes a custom global allocator to intercept memory requests and track allocations and deallocations. It records full call-stack traces for every memory operation to map allocations back to their originating source code. The project features a remote memory profiling system that streams capture data via network sockets to a separate machine, minimizing resource overhead on the target system. Analysis is supported by a specialized domain-specific query language used to automate the detection of memory patterns and anomalies. The tool covers heap al

    Cmemory-profilermemory-profilingprofiler
    Ver en GitHub↗4,791
  • llnl/caliperAvatar de LLNL

    LLNL/Caliper

    415Ver en GitHub↗

    Caliper: A Performance Analysis Toolbox in a Library

    C++
    Ver en GitHub↗415
  • nviennot/core-to-core-latencyAvatar de nviennot

    nviennot/core-to-core-latency

    1,356Ver en GitHub↗

    Measuring CPU core-to-core latency

    Jupyter Notebook
    Ver en GitHub↗1,356
  • plasma-umass/scaleneAvatar de plasma-umass

    plasma-umass/scalene

    13,449Ver en GitHub↗

    Scalene is a high-performance diagnostic utility designed to measure resource consumption during the execution of Python applications. It functions as a line-level monitor, providing granular insights that pinpoint the specific source code responsible for performance overhead. The tool distinguishes itself through statistical profiling that captures stack traces and resource usage without requiring manual instrumentation of the source code. It tracks CPU, GPU, and memory consumption by intercepting library-level calls and hardware driver commands, allowing for the analysis of both managed and

    Pythoncpucpu-profilinggpu
    Ver en GitHub↗13,449
  • projectphysx/opencl-benchmarkAvatar de ProjectPhysX

    ProjectPhysX/OpenCL-Benchmark

    307Ver en GitHub↗

    A small OpenCL benchmark program to measure peak GPU/CPU performance.

    C++
    Ver en GitHub↗307
  • rrze-hpc/kerncraftAvatar de RRZE-HPC

    RRZE-HPC/kerncraft

    97Ver en GitHub↗

    .. image:: https://github.com/RRZE-HPC/kerncraft/blob/master/doc/logo/logo-lightbg.svg

    Jupyter Notebook
    Ver en GitHub↗97
  • rrze-hpc/thebandwidthbenchmarkAvatar de RRZE-HPC

    RRZE-HPC/TheBandwidthBenchmark

    66Ver en GitHub↗

    This is a collection of simple streaming kernels. Its primary purpose is to measure the maximum sustained main memory bandwidth of CPU and GPU systems. It also offers a mode to measure the complete memory hierarchy using sequential or parallel throughput execution. You may want to take a look at…

    C
    Ver en GitHub↗66
  • sharkdp/hyperfineAvatar de sharkdp

    sharkdp/hyperfine

    28,316Ver en GitHub↗

    Hyperfine is a command-line benchmarking tool used to measure the execution time of shell commands through multiple runs and statistical analysis. It functions as a comparative benchmarking utility and a shell performance analyzer, allowing for the evaluation of multiple commands against a reference baseline to determine relative speed. The tool distinguishes itself by isolating actual command performance through shell overhead correction and the ability to bypass the shell entirely using system calls. It supports parameterized execution, enabling benchmarks to run across a range of varying i

    Rust
    Ver en GitHub↗28,316
  • ssvb/tinymembenchAvatar de ssvb

    ssvb/tinymembench

    415Ver en GitHub↗

    Simple benchmark for memory throughput and latency

    C
    Ver en GitHub↗415
  • sx-aurora/vftraceAvatar de SX-Aurora

    SX-Aurora/Vftrace

    10Ver en GitHub↗

    Vftrace (visual ftrace) is a performance profiling library with a focus on applications in high-performance computing (HPC). It is compatible with C, C++, and Fortran. Vftrace produces an overview of the function calls appearing during an application's runtime and registers performance metrics…

    C
    Ver en GitHub↗10
  • tacc/demonspawnAvatar de TACC

    TACC/demonspawn

    14Ver en GitHub↗

    DemonSpawn is a tool for quickly firing off a large number of SLURM jobs.

    Python
    Ver en GitHub↗14