Search Results for "linux for windows"
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Showing 6 open source projects for "linux for windows"
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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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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Magneticle is a 3D OpenGL physical simulation that applies the Biot-Savart law to charged particles operating inside a magnetic field produced by a current-carrying wire modeled as an arbitrary space curve.
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Matho is a OS Independant Application and API for mathematical operations, features include curve sketching, calculus, iterative formulae, algebra solver, 2d/3d geometry and mechanical and statistical functionality.
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This library is meant for high performance calculations for science or 3D games/rasterizers using SIMD instructions of x86 processors to allow an unparalleled level of optimization. This takes advantage of MMX, 3DNow!, 3DNow!+/MMX+, & SSE/SSE2/SSE3/SSSE3
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MEDDAC is the seeding point for designing a new approach to Operating System design itself. It is an Open Source project with roots in mainframe design and development the author began in 1979. Monitor Editor Disassembler Decompiler Assembler Compiler
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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mCode is designed to be a dynamic 3d platform for simulation and visualization, with a focus on visual networking.
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Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.
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