100%

Express server and serial port reading

✓ Published0🌍 Public

Last edited Sep 29, 2017

Created on Sep 29, 2017

This example shows a live data pipeline that reads sensor values from an Arduino over a serial port and exposes them through a simple HTTP endpoint. The Arduino sketch generates random temperatures between -5 and 15 degrees Celsius every five seconds and prints them to the serial monitor. Two JavaScript libraries, `serialport` and `express`, handle the communication: the serial port parser (`serialport.parsers.Readline`) captures each line of incoming data, while the Express server responds to root requests with the latest stored value. The result is a minimal web page displaying the current temperature reading.

AI-generated description

Express server and serial port reading

This JS file demonstrate how open a serial port to read it, and display read value over HTTP server.

Copy/Paste the script will display value at : http://localhost:3000 enjoy.

Install

yarn add serialport
yarn add express

npm install serialport
npm install express

Run

node yourFile.js

Similar vizzes

Loading thumbnail…

Teaching :)

This example demonstrates a progressive Arduino teaching sequence, showing how to move from basic LED blinking to reading an analog sensor and handling button interrupts. The code uses the Arduino `pinMode`, `digitalWrite`, `analogRead`, and `attachInterrupt` APIs, with each sketch building on the previous one. It also includes JavaScript code using the `serialport` library to read Arduino serial output and test the connection via `yarn add serialport`. The visualization highlights both the physical wiring changes (LED pin, sensor pin, switch pin) and the serial communication between the Arduino and a computer.

SServuc

57% match

Loading thumbnail…

Gist 75fe6f98cacb874f8d9ebce7248b1b66

This example presents a web-based client-server application that serves static files and handles socket connections. The server is built with Express and Socket.IO, listening on a configurable port, and delegates all routes to a single `index.html` file. It uses the `body-parser` middleware for JSON parsing and the `path` module to resolve file locations. The rendering approach is not specified, but the code clearly establishes the infrastructure for delivering a front-end visualization, with the server acting as the backbone for real-time communication and static asset delivery.

RRonolibert

57% match

Loading thumbnail…

Gist 43d00ddea701789295809c54be1f7183

This example shows a live-updating fluid monitoring dashboard, displaying recent sensor readings for multiple tanks. The visualization uses a JavaScript backend with Knex.js to insert incoming data into a database, and a frontend that likely renders real-time charts or gauges for parameters like dissolved oxygen (DO) from the specified location. The code demonstrates the API endpoint where a POST request with a reading value is parsed and stored, triggering an update to the visual display. It uses the Express framework alongside Knex.js for database operations, while the frontend appears to employ SVG-based graphics for the interactive data representation. The demo focuses on the integration between data ingestion and dynamic visual feedback.

JJWTappert

56% match

Loading thumbnail…

arduino test

This example demonstrates a live sensor-data visualization using the Firmata library to communicate with an Arduino board over a serial connection. The code establishes a board connection via `firmata.Board` and logs a message once the link is ready, though it does not yet render any visual output. The focus is on the initial data-acquisition stage, where raw input from the board would be captured and prepared for future graphical mapping. The visualization’s rendering approach remains unspecified, as the current code only handles the communication handshake.

CCaged

56% match

Loading thumbnail…

Gist 05471e1965de232f4434a8624c8949dc

This example demonstrates a minimal Express.js server that serves player data from a SQLite database, exposing endpoints for retrieving all players or looking up a single player by email. The backend uses `express`, `body-parser`, and the `sqlite3` library, with an async utility function (`getPlayers` or `getPlayerByEmail`) handling database queries. Although no charting or visualization library is present, the code illustrates a typical API structure for feeding data to a front-end visualization. The root route returns a plain JSON message, while `/players` and `/playerByEmail` respond with JSON arrays or objects, showing how raw data would be delivered for subsequent graphical rendering.

WWill Carter

55% match

Loading thumbnail…

express sample and quick examples and descriptions of body, params, and query

This example demonstrates the differences between `req.body`, `req.params`, and `req.query` in ExpressJS, showing how each carries client data to the server. The code pairs ReactJS frontend components with Axios requests against a backend using ExpressJS and body-parser. It illustrates POST/PUT/PATCH requests sending data in `req.body`, GET/DELETE requests embedding values in URL routes via `req.params`, and GET requests appending key-value pairs through `req.query`. The metaphor of a restaurant clarifies the client-server-database relationship.

JJ6K

55% match

Loading thumbnail…

Gist 0df93cdbb2b3e218cfe40434c66d98e2

This example demonstrates a complete IoT telemetry pipeline where a micro:bit V2 sends temperature and light readings over USB serial to a Python gateway, which forwards them via MQTT to an AWS-hosted Mosquitto broker. The flow continues through Telegraf into InfluxDB, with Prometheus and Grafana for monitoring and visualization. The code uses MicroPython’s `temperature()` and `display.read_light_level()`, plus `pyserial` and `paho-mqtt` for serial communication and MQTT publishing. The architecture is illustrated with a Mermaid flowchart, and the gateway enriches JSON payloads with metadata before transmission.

IIoTeacher

54% match

Loading thumbnail…

Monitoreo — Demo

This dashboard demonstrates a live sensor-monitoring interface for a Raspberry Pi Pico W, serving a dark-themed HTML page with current temperature, humidity, and network status cards. A "Simulate Data" button and a recent-events table are included, with the Python backend handling static file serving over HTTP. The visualization uses Tailwind CSS for a clean, responsive dark/light UI and Material Symbols for icons, presenting real-time sensor values and event history in a minimal card-and-table layout.

IIoTeacher

53% match