PyCubed w/MRAM

by Robot Exploration Lab

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The hardware and software pitfalls associated with satellite development greatly contribute to the nearly 60% failure rates of initial CubeSat missions. As the role of small satellites in commercial and scientific endeavors evolves beyond an “engineering exercise,” basic aspects of the spacecraft design must be matured and made widely available in order to continue advancing this valuable technology for Space exploration.

PyCubed: an open-source, radiation-tested CubeSat framework that cost-effectively integrates ADCS, TT&C, C&DH, and EPS into a single PC104-compatible module programmable entirely in Python. PyRCubed addresses many hardware-related failure modes of CubeSats through component and system-level radiation testing, in-depth design and qualification documentation, and on-orbit flight performance from an ongoing LEO mission (KickSat-2). The challenge of mission-ready software development is also mitigated through low-level implementation of the Python programming language via CircuitPython.

This version uses magnetic RAM (MRAM) instead of flash memory.

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CircuitPython 6.0.0-alpha.1

This is the latest unstable release of CircuitPython that will work with the PyCubed w/MRAM.

Unstable builds have the latest features but are more likely to have critical bugs.

Release Notes for 6.0.0-alpha.1

Built-in modules available: _pixelbuf, analogio, audiocore, audioio, audiomixer, audiomp3, bitbangio, board, busio, countio, digitalio, frequencyio, i2cperipheral, math, microcontroller, neopixel_write, network, nvm, os, pulseio, random, rotaryio, rtc, sdcardio, storage, struct, supervisor, time, touchio, ulab, usb_hid, usb_midi

Absolute Newest

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.

Past Releases

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.

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