Search Results for "http-client" - Page 2
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Showing 32 open source projects for "http-client"
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Automated computer program grading solutions designed for trainings on computer languages, data structures and algorithms. See http://openjudge.net for details.
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Davtool is a command line style tool which can perform WebDAV methods. We can use davtool for WebDAV batch work. It is similar to wget. While wget can perform only the GET method, Davtool can perform all WebDAV methods.
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This is a dynamic slicing tool for Java programs. The tool modifies the Kaffe virtual machine to collect the execution trace, and compress the trace on-the-fly. Please proceed to the tool's website http://jslice.sourceforge.net/ for download.
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A micro HTTP server with rsh-over-http emulation. The compiled binary is less than 4k, can serve parallel requests, and very fast. It is intended to run on headless embedded devices to facilitate configuration and status reporting.
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LEAST is the Lightweight Engine for Application StressTests It provides a framework for stresstest-modules, being able to start and stop these modules according to severeal patterns. After the stresstests being finished, it's able to analyse the lo
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soapvi
soapvi a tiny client to send and receive soap xml request/responses
Sometimes I just need to be quickly able to send and receive soap over HTTP requests and responses. Even though SoapUi from eviware is perfectly fitted for the job, I somtimes feel that it is too slow and uses too much memory for the job I would like to do. So far, the program sends/receive requests from file and pretty prints the response. -
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Alchemist plugin
Alchemist GCC/LLVM plugin for code analysis and tuning
News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ...
