Search Results for "python source"
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Showing 8 open source projects for "python source"
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nmon for Linux
Linux performance monitoring on-screen or to CSV 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. -
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coNCePTuaL
DSL for writing communication benchmarks
coNCePTuaL is a toolset for rapidly generating portable, readable, and reproducible network-performance tests. coNCePTuaL can perform the equivalent of many pages of C code with just a few mouse clicks or lines of code in a domain-specific language. -
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Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
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SLOCCount is an easy-to-use tool that counts Source Lines of Code (SLOC). It auto-determines the language(s) (inc. C, C++, Ada, Assembly, shell, COBOL, C#, Fortran, Haskell, Java, LISP/Scheme, Perl, PHP, Python, Ruby, SQL). It also estimates cost & time.
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Control Plane is a benchmark for telecom application environments. It's implementation uses two major software packages: OpenSER and IMS Bench SIPp to compare performance of distinct systems.
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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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"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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