Open Source Mobile Operating Systems Benchmark Software

Benchmark Software for Mobile Operating Systems

Browse free open source Benchmark software and projects for Mobile Operating Systems below. Use the toggles on the left to filter open source Benchmark software by OS, license, language, programming language, and project status.

  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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  • PRTG Catches Network Issues Before They Cause Downtime Icon
    PRTG Catches Network Issues Before They Cause Downtime

    Threshold-based alerts flag problems early, so your team can act before users notice, not after.

    Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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  • 1
    Simpel service for ANDROID for long time monitoring the battery level. A log file in csv format is created /sdcard/BatteryDog/battery.csv which contains timestamp and all available battery info, like level, temperature and voltage. Includes simple graph.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    BogoMIPS is a benchmarking application for the PalmOS. It implements the Linux BogoMIPS algorithm so you can compare the speed of you Palm to any other machine.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    plow

    plow

    A high-performance HTTP benchmarking tool

    Plow is an HTTP(S) benchmarking tool, written in Golang. It uses excellent fast HTTP instead of Go's default net/http due to its lightning-fast performance. Plow runs at specified connections (option -c) concurrently and real-time records summary statistics, histogram of execution time and calculates percentiles to display on Web UI and terminal. It can run for a set duration( option -d), for a fixed number of requests(option -n), or until Ctrl-C is interrupted. The implementation of real-time computing Histograms and Quantiles using stream-based algorithms inspired by Prometheus with low memory and CPU bounds. so it's almost no additional performance overhead for benchmarking.
    Downloads: 0 This Week
    Last Update:
    See Project
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