Showing 4 open source projects for "low level"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

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    Fully Managed MySQL, PostgreSQL, and SQL Server

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  • 1
    mediasoup

    mediasoup

    Cutting Edge WebRTC Video Conferencing

    mediasoup is a Node.js library that provides a cutting-edge WebRTC server capable of handling real-time communications with efficient media routing and processing.
    Downloads: 0 This Week
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  • 2

    Sockets++

    C++ Sockets Made Easy

    Sockets++ is a C++ Socket API which makes socket programming easier and more effective by taking the hard-to-use Winsock library off your shoulders. Sockets++ is easy to use and can allow you to focus on the big things rather than the low-level plumbing
    Downloads: 0 This Week
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  • 3
    WFC (wallaba foundation classes) is a set of low-level classes and functions for any type of application provided it is written in C++. Each compile of WFC should be tailored to the user's needs, by means of selecting/removing the modules.
    Downloads: 0 This Week
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  • 4

    green-home-auto

    Smart Home automation Cape Town optomise PV power usage IoT

    Smart Home Automation Arduino Mega IoT Rev87 of C++ Start 4 Oct 2016 Cape Town, South Africa 9 x 305W Canadian Solar PV panels Microcare 60A MPPT 8 x Sonic 105Ah Gel Batteries MLT Drives 4KVA Pure Sine Wave inverter Flat Plate thermo syphon solar collector and GeyserWise Aduino Mega , sensors and 8ch relay board .75KW pump with pressure/low level/ overcurrent Annual average daily power usage before PV 7kWh per day Post installation approx 15kWh per day . Payback period approx 5years at 7kWhpd then approx 20years “free power” Work in progress. Rev 86 of software development 3. Challenges, 1. RS232C comms to MPPT( to download Battery V and Current and PV power) 2. ...
    Downloads: 0 This Week
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  • Stop vibe-debugging. Icon
    Stop vibe-debugging.

    Plug Claude into your app's actual errors.

    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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