Showing 5 open source projects for "iot projects coding"

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  • 1
    RuleGo

    RuleGo

    Component orchestration rule engine framework for Go

    RuleGo is a high-performance, component-based rule engine implemented in Go. It’s lightweight, embeddable, orchestration-ready, and built for flexible composition of business logic into reusable components. No external middleware dependencies, efficient data processing and linkage on low-cost devices, suitable for IoT edge computing. Embedded and Standalone Deployment modes. Supports embedding RuleGo into existing applications. It can also be deployed independently as middleware, providing...
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  • 2
    Kubermatic Kubernetes Platform

    Kubermatic Kubernetes Platform

    The Central Kubernetes Management Platform For Any Infrastructure

    Kubermatic Kubernetes Platform is in an open source project to centrally manage the global automation of thousands of Kubernetes clusters across multicloud, on-prem and edge with unparalleled density and resilience. Kubermatic Kubernetes Platform Community Edition (CE) is available freely under the Apache License, Version 2.0. Kubermatic Kubernetes Platform Enterprise Edition (EE) includes premium features that are most useful for organizations with large-scale Kubernetes installations with...
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  • 3
    YAO

    YAO

    Yao A low code engine to create web services and dashboard

    Yao allows developers to create web services by processes. Yao is a low-code engine that creates a database model, writes API services, and describes dashboard interface just by JSON for web & hardware, no code, and 10x productivity. Yao is based on the flow-based programming idea, developed in the Go language, and supports multiple ways to expand the data stream processor. This makes Yao extremely versatile, which can replace programming languages ​​in most scenarios, and is 10 times more...
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  • 4
    GoNB

    GoNB

    GoNB, a Go Notebook Kernel for Jupyter

    Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it...
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  • 5
    Go + hardware

    Go + hardware

    A directory of hardware related libs, tools, and tutorials for Go

    ...The project is especially valuable for engineers exploring Go in IoT, robotics, or single-board computer environments. By organizing ecosystem resources in one place, it lowers the barrier to entry for hardware experimentation with Go. Overall, go-hardware functions as both a roadmap and reference point for developers bridging software and physical computing.
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