Search Results for "python-gtksourceview2" - Page 2
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Showing 35 open source projects for "python-gtksourceview2"
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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.
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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.
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ClusterScores is a cluster benchmarking tool which automate compile, benchmark, and report benchmarking on cluster. This tool integrates other standard cluster benchmark tools such as HPL, Stream, Netpipe, Iperf, Bonnie, IOZone, etc...
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"Traffic" is ethernet/ip traffic generator. The tool consists of server and GUI application. Typical configuration is to have at least 2 servers and 1 or more client machines, where the servers are controlled and results are displayed.
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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
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PyWebPerf is a performance measuring tool written in Python which simulates a web browser fetching a page (handles cookies, multiple threads, image and css download). Command-line and cgi interfaces are provided, with a scripting facility coming soon. Do
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OpenLC is a set tools designed to facilitate benchmarking and stress testing of a wide variety of information servers (WEB, Email, FTP, LDAP, ...). A XML-RPC API is offered for developers interested in creating clients that query the services provid
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File system reliability benchmark is a set of Python scripts for benchmarking file system behaviour in case of system crashes, power outages, etc.
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A benchmarking utility providing administration of the benchmarking procedure and a web interface for public access on the results. The goal is to have an automated procedure after the benchmark specification.