We've just released Flet 0.4.0 with a super exciting new feature - packaging Flet apps into a standalone static website that can be run entirely in the browser! The app can be published to any free hosting for static websites such as GitHub Pages or Cloudflare Pages. Thanks to Pyodide - a Python port to WebAssembly!

You can quickly build awesome single-page applications (SPA) entirely in Python and host them everywhere! No HTML, CSS or JavaScript required!

Happy New Year! Flet project has reached ⭐️ 3.3K stars ⭐️ on GitHub which is very exciting and encouraging! Thank you all for your support!

We are starting this year with the release of Flet 0.3.2 bringing a long-awaited feature: creating standalone desktop bundles with a custom icon!

This post is a continuation of Flet mobile strategy published a few months ago.

Our original approach to Flet running on a mobile device was Server-Driven UI. Though SDUI has its own benefits (like bypassing App Store for app updates) it doesn't work in all cases, requires web server to host Python part of the app and, as a result, adds latency which is not great for user actions requiring nearly instance UI response, like drawing apps.

I've been thinking on how to make Python runtime embedded into Flutter iOS or Android app to run user Python program. No doubt, it's technically possible as Kivy and BeeWare projects do that already.

Flet is a fast-evolving framework with a new functionality and bug fixes being committed every other day.

The development model with one pull request per release didn't work well for the project as users waited for weeks to get hands on a new release and, honestly, from development perspective producing large "heroic" releases takes a lot of energy 🫠.

From now on we'll be breaking releases into multiple pull requests with one feature/bugfix per PR.

Every PR merged into main branch will be publishing pre-release (developmental release) package to pypi.org having version format of X.Y.Z.devN.

We just released Flet 0.1.65 which is adding a bunch of mobile-optimized controls, fixing some bugs and introducing a new layout control - ResponsiveRow.

ResponsiveRow control​

ResponsiveRow borrows the idea of grid layout from Bootstrap web framework.

ResponsiveRow allows aligning child controls to virtual columns. By default, a virtual grid has 12 columns, but that can be customized with ResponsiveRow.columns property.

Similar to expand property every control now has col property which allows specifying how many columns a control should span. For example, to make a layout consisting of two columns spanning 6 virtual columns each:

import flet as ft

ft.ResponsiveRow([
    ft.Column(col=6, controls=ft.Text("Column 1")),
    ft.Column(col=6, controls=ft.Text("Column 2"))
])