arXiv — NLP / Computation & Language · · 3 min read

MicroPython and CircuitPython: Pythons Quiet Takeover of IoT and Robotics

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Computer Science > Programming Languages

arXiv:2608.18160 (cs)
[Submitted on 14 Aug 2026]

Title:MicroPython and CircuitPython: Pythons Quiet Takeover of IoT and Robotics

View a PDF of the paper titled MicroPython and CircuitPython: Pythons Quiet Takeover of IoT and Robotics, by Sayed Mahbub Hasan Amiri and 1 other authors
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Abstract:Background: Python has become the dominant language in software and data science, yet embedded systems have remained tied to C/C++ due to performance and memory constraints. MicroPython and CircuitPython are changing this by bringing Python to microcontrollers, lowering barriers for IoT and robotics development. Aim: This article examines whether these platforms are achieving a quiet takeover of embedded systems, focusing on ecosystem growth, practical applications, performance trade-offs, educational adoption, and prospects. Methods: A mixed-methods design was used, including quantitative analysis of GitHub, Stack Overflow, and Google Trends data; curation of case studies from this http URL, this http URL, and the Adafruit Learning System; and original benchmarks on ESP32 and Raspberry Pi Pico comparing MicroPython, CircuitPython, and Arduino C++ across GPIO, I2C, SPI, Wi-Fi, and memory usage. Results: Metrics show sustained growth, with MicroPython supporting over 200 boards and CircuitPython over 400. Benchmarks reveal 10-20 times slower I/O and four to six times higher memory use than C, but performance remains adequate for common sensor and network tasks. Case studies demonstrate successful deployment in home automation, robotics, wearables, agriculture, and professional prototyping. Education emerges as a primary adoption driver. Conclusions: Python is not replacing C/C++; rather, it is becoming the default prototyping and educational language for embedded systems. Continued hardware improvements, better tooling, and standardization will likely deepen this trend. The article offers balanced, evidence-based insights for developers, educators, and technology decision-makers.
Comments: 27 pages, 4 tables
Subjects: Programming Languages (cs.PL); Computation and Language (cs.CL); Software Engineering (cs.SE)
Cite as: arXiv:2608.18160 [cs.PL]
  (or arXiv:2608.18160v1 [cs.PL] for this version)
  https://doi.org/10.48550/arXiv.2608.18160
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Sayed Mahbub Hasan Amiri [view email]
[v1] Fri, 14 Aug 2026 16:43:43 UTC (389 KB)
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