Challenges of Running Python on Mobile Devices and the BeeWare Project

In recent years, the rise of machine learning has made Python increasingly popular, thanks to its many open‑source frameworks and third‑party modules that provide built‑in machine‑learning algorithms.

Nevertheless, it is still rare to see applications written in Python running on mobile devices.

Python’s creator Guido van Rossum and several developers hope that one day Python‑based apps will run on iOS and Android. To this end, Russell Keith‑Magee launched the BeeWare project, which aims to port CPython to Android so that Python applications can run natively on the platform.

Guido clearly recognizes that Python faces “pain points” both on mobile devices and in browsers.

1. Running pure Python applications on Android encounters many obstacles

The BeeWare project achieved its first milestone last February: a pure‑Python application can run on an Android device.

Russell Keith‑Magee noted, “This is not the end of the project – it is the beginning.”

BeeWare’s goal is to enable developers to write applications in Python that run well on iOS, Android, Windows, macOS, Linux, browsers, and tvOS. However, Python cannot be applied to mobile devices in the same way it is used on desktop systems.

The Python Software Foundation granted BeeWare $50,000 to improve Android support, requiring the CPython Android port to run on most modern Android devices (version 4.4 and above).

MongoDB engineer and Python contributor Jesse Jiryu Davis explained, “BeeWare’s strategy is to compile Python to Java bytecode, but today’s Android devices are fast enough, and the Android kernel can run CPython itself.”

Davis also pointed out a major obstacle: the size of Python applications on Android. Because each app must bundle its own Python runtime, the interpreter needs to be reduced in size to run smoothly on mobile hardware.

Building Python applications is also unfamiliar to most Python developers. Davis noted that there are no subprocesses, socket and signal behavior differs from regular Unix, and many system calls are prohibited.

Funding and talent are additional challenges. Ned Deily of the Python Software Foundation said that mobile support requires more money and manpower than many other Python initiatives, and no companies are currently funding Python on mobile devices.

2. Reasons Python struggles on browsers and mobile devices

Guido van Rossum recently responded to the difficulty of Python on mobile: “Many people think it would be great if mobile apps could be written in Python. Some are working on it, but CPython is 30 years old and was originally created for workstations, desktops, and servers.”

He added that those who manage to run CPython on mobile discover that Python consumes too many resources.

Guido emphasized that Python is “big and slow”: running Python‑written apps quickly drains battery and memory.

He also admitted that Python likely has no future in browsers. While Python is popular for backend web development, JavaScript dominates frontend development, and TypeScript is increasingly adopted.

Guido summarized, “Python is a very popular backend language. At Google, my projects are built on Python; at Dropbox, the entire server stack is Python. But in the browser, the code that runs is inevitably JavaScript.”

He believes Python should focus on its strengths, such as backend networking and scientific data processing.

Guido also commented on Julia, a language that may compete with Python in scientific computing and machine learning. He said Julia is an interesting language similar to Python and has better compiler optimizations, but it remains a niche language.

Original source: https://blog.csdn.net/csdnnews/article/details/117267839