Streamlit vs. Taipy — The Ultimate Comparison
<p>In two of my recent articles, I presented a comprehensive overview of Taipy — an open-source tool that streamlines the creation, management, and execution of reliable data-driven pipelines with low code.</p>
<p>It comprises of two parts:</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:386/1*TNUCXTyWOetTR9jrzefASg.png" style="height:224px; width:386px" /></p>
<p>Taipy</p>
<ul>
<li><strong>Taipy GUI</strong> lets you create a complex and interactive GUI with very little code.</li>
<li><strong>Taipy Core</strong> lets you create a complex and interactive data pipeline.</li>
</ul>
<p>At this point, we should evaluate how well it stands compared to similar solutions, especially Streamlit, which lets you turn Python scripts into web apps.</p>
<p>So in this article, we will perform a detailed head-to-head comparison of Taipy with Streamlit.</p>
<p>More specifically, we will evaluate them on various parameters that closely align with their practical applicability to real-world solutions and see how they stand out.</p>
<p><a href="https://towardsdev.com/streamlit-vs-taipy-the-ultimate-comparison-f705d60930f6">Visit Now</a></p>