Arduino

Get started with the SparkFun analog MEMS microphone breakout board with Arduino! Create a volume unit meter with the ADMP401 or ICS-40180 to react to sound before building your sound visualizer!

The SparkFun Audio Codec Breakout - WM8960 is a low power, high quality stereo codec chock full of features. In this tutorial, some of these features by using an Arduino microcontroller to configure the audio codec and pass audio to the headphone or speaker channels.

Delve into the functionality-rich world of the IoT RedBoard ESP32 Development Board!

Interested in high precision GNSS without setting up a base station?

Get started with the ultralow-power, high-accuracy, qwiic-enabled SparkFun Temperature Sensor - STTS22H!

Get precision down to the diameter of a dime with the new ZED-F9P from u-blox.

Easily switch between Processor Boards using the MicroMod ecosystem and get precision down to the diameter of a dime with the ZED-F9P from u-blox using the MicroMod GNSS Carrier Board!

Follow this guide to add up to 5 nanosecond timing accuracy under clear skies with no external GNSS correction with the GNSS Timing Breakout - ZED-F9T (Qwiic).

The u-blox ZED-F9K is a powerful GPS-RTK unit that uses a fusion of IMU, wheel ticks, a vehicle dynamics model, correction data, and GNSS measurements to provide highly accurate and continuous position for navigation in the difficult conditions. We will quickly get you set up using the Qwiic ecosystem through Arduino so that you can start reading the output!

Get started using the SparkFun GNSS Receiver Breakout - MAX-M10S (Qwiic), a ultra-low power, GNSS receiver module for your asset tracking needs!

Add millimeter precision location data to your MicroMod project with this guide for the SparkFun MicroMod GNSS Function Board - ZED-F9P.

The u-blox ZED-F9R is a powerful GPS-RTK unit that uses a fusion of IMU, wheel ticks, a vehicle dynamics model, correction data, and GNSS measurements to provide highly accurate and continuous position for navigation in the difficult conditions. We will quickly get you set up using the Qwiic ecosystem through Arduino and Python so that you can start reading the output!

Get started measuring acceleration and vibration using the Triple Axis Accelerometer Breakout - KX134 (Qwiic) & KX132 (Qwiic) following this Hookup Guide.

Add GNSS correction data to your high precision GNSS (HPG) receiver with the u-blox NEO-D9S! This tutorial will get you started with the ZED-F9P, NEO-D9S, and the ESP32 IoT RedBoard.

This guide will get users started with the Qwiic Tsunami. We'll start by putting *.wav files and a configuration file on a microSD card, pop it into the Qwiic Tsunami, then trigger sounds across multiple outputs.

A hookup guide for the SparkFun Wireless Joystick Kit.

Add a global cellular module to your MicroMod project with the SparkFun Cellular Function Board - Blues Wireless Notecarrier. With this Function board you can not only send data to and from your MicroMod project, you can even update the firmware on the STM32 MicroMod Processor.

The MyoWare® 2.0 Muscle Sensor, an Arduino-compatible, all-in-one electromyography (EMG) sensor from Advancer Technologies. In this tutorial, we will go over the features and related shields to connect the sensor to a muscle group.

An overview of each component in the SparkFun Sensor Kit, plus links to tutorials and other resources you'll need to hook them up.

The SparkFun Qwiic Speaker Amp includes the Texas Instruments TPA2016D2 stereo, filter-free class-D audio power amplifier. This tutorial will help you get started and configure the amplifer settings using an Arduino microcontroller.

Add low power triple axis motion monitoring to your Qwiic project using the SparkFun Triple Axis Accelerometer Breakout - BMA400 (Qwiic).

Use an Arduino and the SparkFun Sound Detector to create visualizations on Addressable RGB LED strips.

Build a long-range, noise-isolated I2C bus with the SparkFun QwiicBus Kit featuring the QwiicBus EndPoint and MidPoint following this Hookup Guide.

Get started with the MicroMod Ecosystem and the STM32 Processor Board!