MicroMod Teensy Processor
The SparkFun MicroMod Teensy Processor leverages the awesome computing power of the NXP iMXRT1062 chip and pairs it with the M.2 MicroMod connector to allow you to plug it into your choice of compatible MicroMod Carrier Board. With the M.2 MicroMod connector, connecting your Teensy Processor is a breeze. Simply match up the key on your processor’s beveled edge connector to the key on the M.2 connector and secure it with a screw (included with all Carrier Boards). Adding a Teensy to your desired project has never been easier!
The Teensy Processor Board boasts some impressive computing power with an ARM Cortex-M7 processor operating at clock speeds up to 600MHz, 16MB Flash Memory and 1024K RAM Memory. On top of all that processing power, the board features seven serial UART ports, four I2C buses, two SPI ports, CAN-Bus, 12 GPIO, dedicated digital, analog, and PWM pins, USB Host and Device capability up to 480Mbit/s, digital audio and since many of the pins on the iMXRT1062 support multiple signal types you can customize it even further depending on your project’s needs.
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This is the latest unstable release of CircuitPython that will work with the MicroMod Teensy Processor.
Unstable builds have the latest features but are more likely to have critical bugs.
Built-in modules available: _bleio, adafruit_bus_device, adafruit_pixelbuf, aesio, analogio, atexit, binascii, bitbangio, bitmaptools, board, busio, digitalio, displayio, errno, fontio, framebufferio, getpass, gifio, json, keypad, math, microcontroller, msgpack, neopixel_write, onewireio, os, pwmio, rainbowio, random, re, rtc, sdcardio, sharpdisplay, storage, struct, supervisor, terminalio, time, touchio, traceback, ulab, usb, usb_cdc, usb_hid, usb_host, usb_midi, vectorio, zlib
Every time we commit new code to CircuitPython we automatically build binaries for each board and language. The binaries are stored on Amazon S3, organized by board, and then by language. Try them if you want the absolute latest and are feeling daring or want to see if a problem has been fixed.
All previous releases are listed on GitHub, with release notes, and are available for download from Amazon S3. They are handy for testing, but otherwise we recommend using the latest stable release. Some older GitHub release pages include the same binaries for downloading. But we have discontinued including binaries as assets on newer release pages because of the large number of files for each release.