Search Results for "python to executable file"

nmon is short for Nigel's Performance Monitor It either shows you the stats on-screen updating once a second or saves the data to a CSV file for later analysis and graphing. For details see the homepage ==> http://nmon.sourceforge.net Please use the latest version. The new version "njmon" outputs JSON format that a lot of tools use these days. It integrates well with saving data directly to InfluxDB and graphing with Grafana.

Master/node to gather and graph "everything" on your systems using Tobi Oetiker's rrdtool. It can optionally warn your surveillance software. This software package was originally called LRRD. The project. Please see http://munin-monitoring.org/

This program is a program that extracts the latest CPU, GPU, Drive and RAM performance scores and rankings from benchmark sites. The Output Data is saved as a csv, xlsx and xls file. CPU information is written by model name and score. GPU information is written by model name and score. Drive information is written by model name and score. RAM information is written by model name and score.

NOTE: Copymark is no longer being developed or supported. It has some flaws that could result in inaccurate data. These flaws have been addressed in copymark2, which you can find on google code: https://code.google.com/p/copymark2/wiki/Copymark2 A simulation of real world file transfer performance. Generates files and then transfers them using the Windows Shell or Finder in OS X. Outputs performance results to .csv and has an optional plotting feature. For documentation, please see the wiki.

A configurable distributed file system performance tool written in Python.

Graphical or terminal-based stopwatch with many user-named lap timers. Save / restore timing results via CSV file; timer "runs" even when application isn't running! Supports lap timer label templates. Hildonized (i.e., also runs on Maemo / Nokia 770).

Rugg is a hard drive and filesystem harness tool that allows you to test and benchmark drives and filesystems, by writing simple to complex scenarios that can mimic the behaviour of real-world applications.

GL O.B.S. is based around a PyGTK interface that launches OpenGL programs feeding them with a common CLI options set which will affect their behaviour, then receives back their statistical output. Benchmarks are easy to create and add.

This project is an approach to automating the testing of performance properties of complex systems.Just like functional specs for software we aim to develop an executable language for asserting performance expectations of a program.This implements Sharon

File system reliability benchmark is a set of Python scripts for benchmarking file system behaviour in case of system crashes, power outages, etc.