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GeekyTheory/Raspberry-Pi-Status avatar
GeekyTheory

Raspberry-Pi-Status

Aplicación Web desarrollada en node.js para monitorizar el estado de la Raspberry Pi.

100 stars44 forksHTMLApache-2.0
01
DEEP OPEN-SOURCE ANALYSIS

Raspberry Pi Status: a Node.js panel for your Pi

A Node.js based monitoring panel that shows temperature, memory, CPU load, and top tasks with their process IDs, usable on a Raspberry Pi or a Linux computer.

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DEEP OPEN-SOURCE ANALYSIS

What it monitors

The project is a Node.js based Raspberry Pi monitoring panel. It checks the temperature, the memory status including free, cached, buffered, and total values, the CPU load, and the top tasks with their process IDs. The README calls it a useful web app for checking the status of a Raspberry Pi, and notes it also works for a plain Linux computer. The panel is designed to run on the device itself and report back through the browser.

03
DEEP OPEN-SOURCE ANALYSIS

Installation

Installation follows a short sequence of steps. First update and upgrade the system packages. Then install nodejs, npm, and git. Clone the repository from GitHub, change into the project directory, and run npm install. If that throws an error, the README suggests setting the npm registry and trying again, a fallback for environments where the default registry is not reachable. Finally run the server script with nodejs server.js.

04
DEEP OPEN-SOURCE ANALYSIS

Access and license

To use the panel, open a browser with the Raspberry Pi's IP address and listen on port 8000, for example at http://192.168.1.100:8000 on the local network. The device becomes a small web server for its own status data, viewable from other machines on the same network without extra setup. The project is licensed under the Apache License version 2.0, and the standard text notes the software is provided on an as is basis without warranties of any kind.

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DEEP OPEN-SOURCE ANALYSIS

Editorial conclusion

Installation is five commands, and access is just a browser pointing at the Pi's IP on port 8000. The project is licensed under Apache 2.0.

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DEEP OPEN-SOURCE ANALYSIS

Official sources

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Community notes

Community notes