The ADXL345 is a low-power, 3-axis MEMS accelerometer modules with both I2C and SPI interfaces. The Adafruit Breakout boards for these modules feature on-board 3.3v voltage regulation and level shifting which makes them simple to interface with 5v microcontrollers such as the Arduino.

The ADXL345 features 4 sensitivity ranges from +/- 2G to +/- 16G. And it supports output data rates ranging from 10Hz to 3200Hz.

ADXL345 datasheet

How it Works:

MEMS - Micro Electro-Mechanical Systems

The sensor consists of a micro-machined structure on a silicon wafer. The structure is suspended by polysilicon springs which allow it to deflect smoothly in any direction when subject to acceleration in the X, Y and/or Z axis. Deflection causes a change in capacitance between fixed plates and plates attached to the suspended structure. This change in capacitance on each axis is converted to an output voltage proportional to the acceleration on that axis.
The board comes with all surface-mount components pre-soldered. The included header strip can be soldered on for convenient use on a breadboard or with 0.1" connectors. However, for applications subject to extreme accelerations, shock or vibration, locking connectors or direct soldering is advised.


Position the Header:

Cut the header to size if necessary. Then plug the header - long pins down - into a breadboard to stabilize it for soldering.

Add the Breakout:

Align the breakout board and place it over the header pins on the breadboard.

And Solder!

Be sure to solder all pins to assure good electrical contact.

I2C Wiring:

The ADXL345 Breakout has an I2C address of 0x53. It can share the I2C bus with other I2C devices as long as each device has a unique address. Only 4 connections are required for I2C communication:
  • GND->GND
  • VIN->+5v
  • SDA->SDA (Analog 4 on "Classic Arduinos")
  • SCL->SCL (Analog 5 on "Classic Arduinos")
The Adafruit breakout has level shifting and regulation circuitry so you can power it from 3-5V and use 3V or 5V logic levels for i2c

    Install the Library:

    Download the ADXL345 library and install it. You will also need the Adafruit Sensor Library if you do not already have it installed.

    This guide will help you with the install process.


    Click "File->Examples->Adafruit_ADXL345->sensortest" to load the example sketch from the library.

    Then click on the compile/upload button to compile and upload the sketch to the Arduino. You should see output similar to below. Watch the values change as you move the board around.


    The ADXL chips are calibrated at the factory to a level of precision sufficient for most purposes. For critical applications where a higher degree of accuracy is required, you may wish to re-calibrate the sensor yourself.

    Calibration does not change the sensor outputs. But it tells you what the sensor output is for a known stable reference force in both directions on each axis. Knowing that, you can calculate the corrected output from a sensor reading.

    Gravity as a Calibration Reference

    Acceleration can be measured in units of gravitational force or "G", where 1G represents the gravitational pull at the surface of the earth. Gravity is a relatively stable force and makes a convenient and reliable calibration reference for surface-dwelling earthlings.

    Calibration Method:

    To calibrate the sensor to the gravitational reference, you need to determine the sensor output for each axis when it is precisely aligned with the axis of gravitational pull. Laboratory quality calibration uses precision positioning jigs. The method described here is simple and gives surprisingly good results with just a block of wood.

    Mount the Sensor:

    FIrst mount the sensor securely to a block or a box. The size is not important, as long as all the sides are at right angles. The material is not important as long as it is fairly rigid.

    Load the Calibration Sketch:

    Load and run the Calibration sketch below. Open the Serial Monitor and wait for the prompt.

    Position the Block:

    Place the block on a firm flat surface such as a sturdy table. Type a character in the Serial Monitor and hit return. The sketch will take a measurement on that axis and print the results.

    Reposition the Block:

    Turn the block so a different side is flat on the table and type another key to measure that axis.


    Repeat for all six sides of the block to measure the positive and negative aspects of each axis.


    For the sides obstructed by the breakout board and/or wires, press the block up against the bottom of the table while taking the reading.

    Calibration Results:

    Once all six sides have been sampled, the values printed in the Serial Monitor will represent actual measurements for +/- 1G forces on each axis. These values can be used to re-scale readings for better accuracy.

    Calibration Sketch:

    #include <Wire.h>
    #include <Adafruit_Sensor.h>
    #include <Adafruit_ADXL345_U.h>
    /* Assign a unique ID to this sensor at the same time */
    Adafruit_ADXL345_Unified accel = Adafruit_ADXL345_Unified(12345);
    float AccelMinX = 0;
    float AccelMaxX = 0;
    float AccelMinY = 0;
    float AccelMaxY = 0;
    float AccelMinZ = 0;
    float AccelMaxZ = 0;
    void setup(void) 
      Serial.println("ADXL345 Accelerometer Calibration"); 
      /* Initialise the sensor */
        /* There was a problem detecting the ADXL345 ... check your connections */
        Serial.println("Ooops, no ADXL345 detected ... Check your wiring!");
    void loop(void)
        Serial.println("Type key when ready..."); 
        while (!Serial.available()){}  // wait for a character
        /* Get a new sensor event */ 
        sensors_event_t accelEvent;  
        if (accelEvent.acceleration.x < AccelMinX) AccelMinX = accelEvent.acceleration.x;
        if (accelEvent.acceleration.x > AccelMaxX) AccelMaxX = accelEvent.acceleration.x;
        if (accelEvent.acceleration.y < AccelMinY) AccelMinY = accelEvent.acceleration.y;
        if (accelEvent.acceleration.y > AccelMaxY) AccelMaxY = accelEvent.acceleration.y;
        if (accelEvent.acceleration.z < AccelMinZ) AccelMinZ = accelEvent.acceleration.z;
        if (accelEvent.acceleration.z > AccelMaxZ) AccelMaxZ = accelEvent.acceleration.z;
        Serial.print("Accel Minimums: "); Serial.print(AccelMinX); Serial.print("  ");Serial.print(AccelMinY); Serial.print("  "); Serial.print(AccelMinZ); Serial.println();
        Serial.print("Accel Maximums: "); Serial.print(AccelMaxX); Serial.print("  ");Serial.print(AccelMaxY); Serial.print("  "); Serial.print(AccelMaxZ); Serial.println();
        while (Serial.available())
;  // clear the input buffer

    Typical Calibration Output:

    ADXL345 Accelerometer Calibration
    Type key when ready...
    Accel Minimums: 0.00  0.00  0.00
    Accel Maximums: 0.12  0.20  1.14
    Type key when ready...
    Accel Minimums: 0.00  0.00  0.00
    Accel Maximums: 0.12  0.20  1.14
    Type key when ready...
    Accel Minimums: 0.00  0.00  0.00
    Accel Maximums: 0.12  0.20  1.14
    Type key when ready...
    Accel Minimums: 0.00  0.00  0.00
    Accel Maximums: 0.12  0.20  1.14
    Type key when ready...
    Accel Minimums: 0.00  0.00  -0.24
    Accel Maximums: 0.12  1.37  1.14
    Type key when ready...
    Accel Minimums: 0.00  0.00  -0.24
    Accel Maximums: 0.12  1.37  1.14
    Type key when ready...
    Accel Minimums: 0.00  -1.22  -0.27
    Accel Maximums: 0.12  1.37  1.14
    Type key when ready...
    Accel Minimums: 0.00  -1.22  -0.27
    Accel Maximums: 0.12  1.37  1.14
    Type key when ready...
    Accel Minimums: -1.18  -1.22  -0.27
    Accel Maximums: 0.12  1.37  1.14
    Type key when ready...

    The results of the calibration sketch can be used to do a two-point calibraton as described here: Two Point Calibration


    Adafruit_ADXL345(int32_t sensorID = -1)

    Constructs an instance of the ADXL345 device driver object. 'sensorID' is a device identifier. It will be returned in the sensor_event in each call to getEvent(). The sensorID has no effect on the operation of the driver or device, but is useful in managing sensor events in systems with multiple sensors.


    bool begin(void)

    The begin() function initializes communication with the device. The return value is 'true' if it succeeds in connecting to the ADXL345.

    Sensor Details:

    void getSensor(sensor_t*);

    The getSensor() function returns basic information about the sensor. For details about the sensor_t structure, refer to the ReadMe file for the Adafruit Sensor Library.

    Getting and Setting the operating range:

    void setRange(range_t range)

    The setRange() function sets the operating range for the sensor. Higher values will have a wider measurement range. Lower values will have more sensitivity.

    Valid range constants are:

    • ADXL345_RANGE_16_G
    • ADXL345_RANGE_8_G
    • ADXL345_RANGE_4_G
    • ADXL345_RANGE_2_G (default value)
    range_t getRange(void);

    The getRange() function returns the current operating range as set by setRange()

    Getting and Setting the Data Rate:

    void setDataRate(dataRate_t dataRate);

    The setDataRate() function sets the rate at which the sensor output is updated. Rates above 100 Hz will exhibit increased noise. Rates below 6.25 Hz will be more sensitive to temperature variations. See the data sheet for details.

    Valid data rate constants are:

    • ADXL345_DATARATE_3200_HZ
    • ADXL345_DATARATE_1600_HZ
    • ADXL345_DATARATE_800_HZ
    • ADXL345_DATARATE_400_HZ
    • ADXL345_DATARATE_200_HZ
    • ADXL345_DATARATE_100_HZ
    • ADXL345_DATARATE_50_HZ
    • ADXL345_DATARATE_25_HZ
    • ADXL345_DATARATE_12_5_HZ
    • ADXL345_DATARATE_6_25HZ
    • ADXL345_DATARATE_3_13_HZ
    • ADXL345_DATARATE_1_56_HZ
    • ADXL345_DATARATE_0_78_HZ
    • ADXL345_DATARATE_0_39_HZ
    • ADXL345_DATARATE_0_20_HZ
    • ADXL345_DATARATE_0_10_HZ (default value)
    dataRate_t getDataRate(void);

    The getDataRate() function returns the current data rate as set by setDataRate().

    Reading Sensor Events:

    void getEvent(sensors_event_t*);

    The getEvent() function returns the next available reading in the form of a sensor_event. The sensor_event contains the sensor_id as passed to the constructor as well as the X, Y and Z axis readings from the accelerometer. For more information about sensor_events, see the ReadMe file for the Adafruit Sensor Library.

    It's easy to use the ADXL343 or the ADXL345 with Python and CircuitPython, and the Adafruit CircuitPython ADXL34x module. This module allows you to easily write Python code that reads the acceleration, taps, motion and more from the breakout.

    You can use this sensor with any CircuitPython microcontroller board or with a computer that has GPIO and Python thanks to Adafruit_Blinka, our CircuitPython-for-Python compatibility library.

    The pinouts on the ADXL343 and the ADXL345 are slightly different, but the chips are essentially identical. This page includes different wiring diagrams for each. Other than initialising the proper chip, the code will be the same for both!

    CircuitPython Microcontroller Wiring

    First, wire up the breakout exactly as shown in the previous pages. Here is an example of wiring the ADXL343 to a Feather M0:


    • Connect SCL on the Feather to SCL on the ADXL343
    • Connect SDA on the Feather to SDA in the ADXL343
    • Connect GND on the Feather to GND on the ADXL343
    • Connect 3.3V on the Feather to VIN on the ADXL343

    Here's an example of wiring the ADXL345 to a Feather M0:

    • Connect SCL on the Feather to SCL on the ADXL345
    • Connect SDA on the Feather to SDA in the ADXL345
    • Connect GND on the Feather to GND on the ADXL345
    • Connect 3.3V on the Feather to VIN on the ADXL345

    Python Computer Wiring

    Since there's dozens of Linux computers/boards you can use we will show wiring for Raspberry Pi. For other platforms, please visit the guide for CircuitPython on Linux to see whether your platform is supported

    The following shows a Raspberry Pi connected to the ADXL343:

    • Connect SCL on the RPi to SCL on the ADXL343
    • Connect SDA on the Rpi to SDA in the ADXL343
    • Connect GND on the Rpi to GND on the ADXL343
    • Connect 3.3V on the Rpi to VIN on the ADXL343

    The following shows a Raspberry Pi connected to the ADXL345:

    • Connect SCL on the RPi to SCL on the ADXL345
    • Connect SDA on the RPi to SDA in the ADXL345
    • Connect GND on the RPi to GND on the ADXL345
    • Connect 3.3V on the RPi to VIN on the ADXL345

    Library Installation

    You'll need to install the Adafruit CircuitPython ADXL34x library on your CircuitPython board.

    First make sure you are running the latest version of Adafruit CircuitPython for your board.

    Next you'll need to install the necessary libraries to use the hardware--carefully follow the steps to find and install these libraries from Adafruit's CircuitPython library bundle.  Our CircuitPython starter guide has a great page on how to install the library bundle.

    For non-express boards like the Trinket M0 or Gemma M0, you'll need to manually install the necessary libraries from the bundle:

    • adafruit_adxl34x.mpy
    • adafruit_bus_device

    Before continuing make sure your board's lib folder or root filesystem has the adafruit_adxl34x.mpy, and adafruit_bus_device files and folders copied over.

    Next connect to the board's serial REPL so you are at the CircuitPython >>> prompt.

    Python Installation of the ADXL34x Library

    You'll need to install the Adafruit_Blinka library that provides the CircuitPython support in Python. This may also require enabling I2C on your platform and verifying you are running Python 3. Since each platform is a little different, and Linux changes often, please visit the CircuitPython on Linux guide to get your computer ready!

    Once that's done, from your command line run the following command:

    • sudo pip3 install adafruit-circuitpython-adxl34x

    If your default Python is version 3 you may need to run 'pip' instead. Just make sure you aren't trying to use CircuitPython on Python 2.x, it isn't supported!

    CircuitPython & Python Usage

    To demonstrate the usage of the breakout we'll initialize it and read the acceleration and more from the board's Python REPL.

    Run the following code to import the necessary modules and create the I2C object:

    import time
    import board
    import adafruit_adxl34x
    i2c = board.I2C()

    If you're using the ADXL343, run the following to initialise the I2C connection with the breakout:

    accelerometer = adafruit_adxl34x.ADXL343(i2c)

    If you're using the ADXL345, run the following to initialise the I2C connection with the breakout:

    accelerometer = adafruit_adxl34x.ADXL345(i2c)

    Now you're ready to read values from and enable features of the breakout using any of the following:

    • acceleration - The acceleration values on the x, y and z axes
    • enable_motion_detection - Enables motion detection. Allows for setting threshold. Threshold defaults to 18.
    • enable_tap_detection - Enables tap detection. Allows for single or double-tap detection.
    • enable_freefall_detection - Enables freefall detection. Allows for setting threshold and time. Threshold defaults to 10, time defaults to 25.
    • events - Used to read the events when motion detection, tap detection and freefall detection are enables. Requires specifying which event you are trying to read.

    To print the acceleration values:

    while True:

    That's all there is to reading acceleration values from the ADXL343 and ADXL345 using CircuitPython!

    Full Example Code

    # SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
    # SPDX-License-Identifier: MIT
    import time
    import board
    import adafruit_adxl34x
    i2c = board.I2C()  # uses board.SCL and board.SDA
    # For ADXL343
    accelerometer = adafruit_adxl34x.ADXL343(i2c)
    # For ADXL345
    # accelerometer = adafruit_adxl34x.ADXL345(i2c)
    while True:
        print("%f %f %f" % accelerometer.acceleration)

    Motion, Tap and Freefall

    There are examples for enabling and using motion, tap and freefall available on GitHub:

    Save any of the files as on your CircuitPython board, or run them from the Python REPL on your Linux computer, to try them out.

    This guide was first published on Mar 26, 2013. It was last updated on Mar 26, 2013.