Flet 1.0 Released: Build Production Apps in Python Only
The Flet team has officially released version 1.0 on PyPI, enabling production-ready cross-platform app development for Windows, macOS, Linux, iOS, Android, and web.

Stock photo for illustration only, not from the actual event
- Flet 1.0 official release arrives roughly four years after project initiation.
- Supports deployment across six platforms plus web from a single codebase.
- Introduces declarative UI paradigms and significant performance enhancements.
- Integrates Flet MCP Server to assist AI coding workflows seamlessly.
The Flet team has officially rolled out Flet 1.0, marking a major milestone approximately four years after the project's inception. This stable release is now declared production-ready, allowing developers to build and ship robust software applications seamlessly.
Flet 1.0.0 is currently available on PyPI under the Apache 2.0 license. It requires Python 3.10 or newer for the SDK and can be installed via pip install 'flet[all]'. The command-line interface's flet build utility accepts targets across eight specific platforms, namely apk, aab, ipa, ios-simulator, windows, macos, linux, and web.
Regarding testing infrastructure, Flet executes framework unit tests across Python versions 3.10 through 3.14, alongside comprehensive Flutter-side evaluations. Integration tests systematically verify behavior and conduct screenshot comparisons to catch functional bugs and visual regressions proactively.

Stock photo for illustration only, not from the actual event
Enabling full desktop and mobile development entirely in Python bridges a long-standing gap for data scientists and backend engineers who want to ship client-facing software without learning separate UI stacks. By bridging Python and Dart runtimes in a single process via dart-bridge, Flet avoids traditional socket communication overhead, yielding robust runtime performance.
The package ecosystem lists over 100 compatible modules, including major libraries like NumPy, pandas, Matplotlib, Pillow, SciPy, scikit-learn, cryptography, and pydantic-core. The mobile-forge automation pipeline further streamlines wheel builds for mobile operating systems.
Performance-wise, Flet 1.0 tracks altered properties to bypass redundant reconciliation steps, achieving up to a 6.7x speedup in control diffing based on 0.83 benchmarks. Packaged native apps also enable bytecode compilation by default and load Python packages straight from APK files without extraction.
"Flet 1.0 is on PyPI under the Apache 2.0 license, requires Python 3.10 or newer for the SDK, and installs with pip install 'flet[all]'."
MarkTechPost
On the design front, Flet Declarative outlines UI layouts as a function of app state through modular components, while legacy imperative styles remain fully supported. Furthermore, the Flet MCP Server supplies AI coding assistants with version-specific API details, and Flet Studio features an integrated browser-based AI agent.
Source: MarkTechPost
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