Web Apps for Python Devs with Auto-Generated UI
Hi HN, We’re Afnan, Theo and Ruben. We’re all ML engineers or data scientists, and we kept running into the same thing: we’d write useful Python functions, either for ourselves or internal tools, and then hit a wall when we wanted to share them as actual apps. We tried Streamlit and Gradio. They’re great to get something up quickly. But as soon as we needed more flexibility or something more polished, there wasn’t really a path forward. Rebuilding the frontend properly in React isn’t where we bring the most value. So we started building Davia. You keep your code in Python, decorate the…
In plain words
Davia is a web app framework for Python developers that automatically generates user interfaces from decorated Python functions. Users write Python code, add decorators to expose functions, and describe their desired interface in a prompt; Davia then builds and deploys a web app with a FastAPI backend. It targets ML engineers and data scientists who want to share Python tools as polished applications without rebuilding frontends in React or other frameworks.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, We’re Afnan, Theo and Ruben. We’re all ML engineers or data scientists, and we kept running into the same thing: we’d write useful Python functions, either for ourselves or internal tools, and then hit a wall when we wanted to share them as actual apps. We tried Streamlit and Gradio. They’re great to get something up quickly. But as soon as we needed more flexibility or something more polished, there wasn’t really a path forward. Rebuilding the frontend properly in React isn’t where we bring the most value. So we started building Davia. You keep your code in Python, decorate the functions you want to expose, and Davia starts a FastAPI server on your localhost. It opens a window connected to your localhost where you describe the interface with a prompt. It then builds the interface, and you can deploy everything in one step. Think of it as Lovable, but for Python developers. It works especially well for building AI tools. We built it to integrate tightly with LangGraph, so if you’re writing agents or workflows, you can turn them into real apps without leaving Python. Docs and examples here: https://docs.davia.ai GitHub: https://github.com/davia-ai/davia We’re still in early stages and would love feedback from others building internal tools or AI apps in Python.
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