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Adafruit Industries

  • About Me

    Adafruit was founded in 2005 by MIT engineer, Limor "Ladyada" Fried. Her goal was to create the best place online for learning electronics and making the best designed products for makers of all ages and skill levels. Adafruit has grown to over 50 employees in the heart of NYC with a 15,000+ sq ft.

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Projects See All

PROJECT
12

Minecraft GPS Compass

By Adafruit Industries

Build a Minecraft-inspired compass with GPS.

PROJECT
60

Halloween Skeleton Transformation Illusion Prop

By Adafruit Industries

Scare the whole neighborhood this Halloween with a ghostly visage.

PROJECT
34

Light Up Bubble Wand with WLED

By Adafruit Industries

Blow illuminated giant bubbles and light up the night.

PROJECT
46

Moon Flight Tracker

By Adafruit Industries

Track a plane when it crosses over the moon.

PROJECT
108

Sampling Keyboard with Fruit Jam

By Adafruit Industries

Record everyday sounds and turn them into fun music with this MIDI keyboard sampler.

PROJECT
75

Demofruit: Demoscene for Fruit Jam

By Adafruit Industries

Classic DOS/Amiga graphics and MOD demos for RP2350.

Tutorials

Image of Use Blinka in Ubuntu Core on Raspberry Pi
TUTORIAL
128

Use Blinka in Ubuntu Core on Raspberry Pi

By Adafruit Industries

Deploy your IoT project with Ubuntu Core OS, designed for security, reliability, and fleet management.

Image of ESPectre Human Detector for Feather
TUTORIAL
320

ESPectre Human Detector for Feather

By Adafruit Industries

Detect human movement THROUGH WALLS using WiFi!

Image of Moonshine Voice Control on Raspberry Pi
TUTORIAL
107

Moonshine Voice Control on Raspberry Pi

By Adafruit Industries

Set up trigger phrases to carry out specified actions on your Raspberry Pi.

Image of CircuitPython Web Workflow Code Editor Quick Start
TUTORIAL
205

CircuitPython Web Workflow Code Editor Quick Start

By Adafruit Industries

Edit your CircuitPython Code over WiFi from a Browser.

Image of Local LLMs on Raspberry Pi
TUTORIAL
955

Local LLMs on Raspberry Pi

By Adafruit Industries

Explore the possibilities of running LLMs locally on the Raspberry Pi & similar hardware.

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