Showing 4 open source projects for "install updates windows"

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  • Cut Data Warehouse Costs by 54% Icon
    Cut Data Warehouse Costs by 54%

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  • 1
    IceCream

    IceCream

    Never use print() to debug again

    Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments. Just give ic() a variable or expression and you're done. ic() returns its argument(s), so ic() can easily be inserted into pre-existing code. Additionally, ic()'s output can be entirely disabled, and later re-enabled, with ic.disable() and ic.enable()...
    Downloads: 0 This Week
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  • 2
    FlowLens MCP

    FlowLens MCP

    Open-source MCP server that gives your coding agent

    FlowLens MCP Server is an open-source tool designed to give AI-powered coding agents (like Claude Code, Cursor, GitHub Copilot / Codex, and others) full, replayable browser context to dramatically improve debugging, bug reporting, and regression testing for web applications. It works together with a companion browser extension: when a user reproduces a bug or a complicated UI interaction, the extension captures a rich session log, including screen/video recording, network traffic, console...
    Downloads: 0 This Week
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  • 3
    Potato Finder by PotatoChimp Labs

    Potato Finder by PotatoChimp Labs

    Find what changed. Find what broke.

    PotatoFinder is a Windows Incident Correlation Engine developed by PotatoChimp Labs. It helps users investigate crashes, system instability, and unexpected behavior by reconstructing timelines of events and identifying likely root causes. PotatoFinder continuously monitors important system activity such as software installations, Windows Updates, process crashes, driver changes, service modifications, and other system events.
    Downloads: 0 This Week
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  • 4
    Tangent

    Tangent

    Source-to-source debuggable derivatives in pure Python

    Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative...
    Downloads: 0 This Week
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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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