Search Results for "virtual machine plugins" - Page 2
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Showing 31 open source projects for "virtual machine plugins"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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pyvix is a Python wrapper for the VMWare(R) VIX C API that allows Python to programmatically control VMWare(R) virtual machines. Example operations include: powering on; suspending; creating, reverting to, and removing snapshots; and running programs.
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YABI93 is an Interpreter for the esoteric programming language Befunge, version "Befunge93". It is written in Java 1.5 and uses Swing for its graphical interface. YABI supports a multilanguage GUI.
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This provides an interactive, programmer-friendly interface to VMware's VProbes facility. VProbes is a safe, dynamic technology for instrumenting software running in virtual machines, and the software stack itself.
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grenadilla is a lab resource reservation system. It handles booking machines in a lab or server room. grenadilla is written in python, and leverages django.
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Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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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. ...
