BeeWare Project

Tools for cross-platform Python application development.

Technologies
python, javascript, android, java, ios
Topics
app development, mobile, cross desktop
Tools for cross-platform Python application development.

Python has proven itself as a highly capable language - approachable for newcomers, but powerful in the hands of experts. The BeeWare Project aims to take the power of Python as a language, and use it to enable users of all skill levels to develop applications with native user interfaces; to do for mobile and desktop user-facing software the same thing that Django has done for web software. This means giving users a set of tools and libraries that enables them to develop rich, native user interfaces, and deploy them to their devices, including:

  • Tools to enable Python to run on different devices,
  • Tools to package a Python project so it can run on those devices,
  • Libraries to access the native capabilities of devices,
  • Tools to help develop, debug, and deploy these projects.

Python native

If Python isn't available as a first-class option on a platform, we'll do whatever is necessary to make Python available as a development language. And when we have the opportunity to embrace Python idiom for an API or a design, we're going to do just that.

Platform native

It's easy to use themes to achieve cross-platform. However, it's easy to spot apps that have been built using themes - they're the ones that don't behave quite like any other app. BeeWare uses native widgets and native functionality, rather than using a theme-based approach to application development. We also distribute our tools and libraries using platform-native distribution channels, such as app stores.

More than just code

We're not just about software, though. We also aim to be a project with a social conscience. We aim to develop and maintain a diverse and inclusive community, and we have a Code of Conduct that is rigorously enforced. We also aspire to develop a healthy and sustainable community - one that is aware of mental health issues of its participants, and provides the resources for people to start engaging, and continue to engage with the community.

2018 Program

Successful Projects

Contributor
Yap Boon Peng
Mentor
Russell Keith-Magee
Organization
BeeWare Project
Implement asyncio support in voc
This project focus on implementing asyncio’s coroutine and event loop (both timer & socket based) for voc in JVM. Successful implementation of...
Contributor
Patience Shyu
Mentor
Russell Keith-Magee
Organization
BeeWare Project
Optimizing the VOC Compiler
The current implementation of Python AST to Java bytecode transpilation in many cases takes a naive approach, resulting in redundant bytecode...