For those just starting out with Python programming, the sheer number of libraries available may seem staggering. It seems like there is a Python framework for almost any need you may have.
However, one area seems to be overlooked: no-code studies for developing web interfaces. While there are several low-code tools for creating web interfaces, such as Streamlit for pilots, Guy for real projects and Gradio for fast interfaces for ML models; none fully automate this process. To close this gap, we are launching Designer Taipy this week.
Seamless integration: from Python code to web interface with Taipy Designer
Designer Taipy offers a studio environment where users can design entire web pages by dragging and dropping multiple graphical widgets onto a canvas.
Suppose you have developed a Python program that contains several elements, such as a Pandas data frame called 'df'a boolean 'bSampling'and a date'date'among other things.
When you open Taipy Designer with your script, it automatically makes all of these Python variables accessible.
For example, a 'switch' widget can be connected directly to its bSampling boolean variable, and a 'datepicker' can be connected to date, etc. You can also bind any Python container, such as a dictionary, Numpy array, or Pandas data frame, to graphical components such as tables, charts, or maps.
Wide accessibility with Taipy Designer
Providing a full range of chart widgets would make Taipy Designer too cumbersome. Instead, it offers basic widgets for line, bar and pie charts and at the same time provides easy access to all charts from libraries such as Matplotlib, Plotly and E-charts via “generic” widgets.
Taipy Designer can be used to implement highly interactive and multi-page web applications.
Taipy Designer is aimed not only at any Python developer, but also at non-professional developers, such as scientists from other fields (Physics, Chemical/Electrical/Mechanical/Industrial Engineering, Biomedical, Aerospace, Industrial Engineering, Environment, etc.) .
Taipy Designer also benefits from the robust Taipy environment with powerful backend, pipeline, and scenario management capabilities.
Learn more about Taipy Designer through their documentation.
Thanks to taipy team for the educational/thought leadership article. taipy team has supported us in this content/article.
Vincent Gosselin, co-founder and CEO of Taipy, is a distinguished ai innovator with over three decades of experience, notably at ILOG and IBM. He has mentored numerous data science teams and led innovative ai projects for global giants such as Samsung, McDonald's and Toyota. Vincent's mastery in mathematical modeling, machine learning, and time series prediction has revolutionized operations in manufacturing, retail, and logistics. Student at Paris-Saclay University with a master's degree in Comp. Science & ai, his mission is clear: transform ai from pilot projects to essential tools for end users across industries.
