Flutter for data engineering and data science!
<p><strong>Flutter</strong> is Google’s SDK for crafting beautiful, fast user experiences for mobile, web, and desktop from a <strong>single codebase</strong>. According to a 2021 developer survey Flutter is the most popular cross-platform framework.</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:630/1*_rL9PQ0XG7zOzrz-81TB4g.png" style="height:304px; width:700px" /></p>
<p>Source: <a href="https://flutter.dev/" rel="noopener ugc nofollow" target="_blank">https://flutter.dev/</a></p>
<p>Now, thanks to <a href="https://flet.dev/" rel="noopener ugc nofollow" target="_blank"><strong>Flet.dev</strong></a> it has potential to bridge software and data engineering/science worlds and become a standard for building cross-platform, interactive multi-user applications and <strong>data products</strong>!</p>
<p><strong>Flet.dev</strong> project brings <strong>Flutter</strong> to data engineers and data scientists by enabling them to easily build realtime<strong> </strong>web, mobile and desktop apps in their favourite language: <strong>Python </strong>— whereas software engineers will typically use Flutter with <a href="https://dart.dev/" rel="noopener ugc nofollow" target="_blank">Dart</a><strong>. No frontend experience is required</strong>. Flet.dev is open source and available on <a href="https://github.com/flet-dev/flet/blob/main/LICENSE" rel="noopener ugc nofollow" target="_blank">Apache-2.0 license</a>.</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:630/0*8ll0RbPKyuEfbJXL.png" style="height:628px; width:700px" /></p>
<p>Source: <a href="https://flet.dev/" rel="noopener ugc nofollow" target="_blank">flet.dev</a></p>
<p>After this short introduction think of all the opportunities where you can use it to build data applications for:</p>
<ul>
<li>Prototypes of AI solutions utilizing Google GenAI models (PaLM2, Imagen, Chirp, … )</li>
<li>Data Science what-if simulations</li>
<li>Optimization what-if simulations</li>
<li>Demos of Machine Learning models built on GCP Vertex AI platform</li>
</ul>
<p>This article is foundation to all these use cases as we show how to deploy data applications built with flet.dev on Google Cloud platform on its fully-managed compute environment for deploying and scaling <strong>serverless</strong> HTTP containers: <strong>Cloud Run.</strong></p>
<p><a href="https://medium.com/google-cloud/flutter-for-data-engineering-and-data-science-1ab54381f9d3">Visit Now</a></p>