![]() Want to build a web app and give users concurrent access? Streamlit is fantastic.Developing cross-platform and mobile apps? Kivy works well.Looking for quick prototyping? Go with Tkinter.From this list, my suggestion is as follows: The only skill set you should have for all these tools is Python.Ĭhoosing the right tool for the right project is art. From prototyping to mobile app releases to Google and iOS stores to Web applications. The five tools we discussed here are helpful for almost all the GUI development needs. That's precisely what we've covered in this post. Python is fully capable of GUI development as well. Today we use this elegant programming language for data science, workflow integration, software development, etc. Over the past couple of decades, Python has expanded into multiple territories. Once installed, you can create a file app.py with the following content and run it to see Kivy in action. $ sudo add-apt-repository ppa:kivy-team/kivy $ sudo apt-get install python3-kivy Since I'm on Ubuntu (Linux), I'm using the Kivy official PPA way to install it. They are significantly different from platform to platform. Kivy's documentation includes detailed guides from installation to publishing in Android Marketplace. Perhaps, that's why Python is the most popular technology in the Stackoverflow developer survey, 2021. You can do a lot more stuff you can't do with other languages. Python is no longer limited to web and desktop development. With it, you can create Desktop applications for Windows, OS X, and Linux, build mobile apps for iOS and Android, and use it on embedded devices on top of Raspberry Pi. Kivy is a cross-platform Python software development framework. While they are very helpful in developing a web application, we have tools that help us build cross-platform apps in Python. Plotly Dash and Streamlit are more mature technologies in this list. It has a declarative coding style which I found very helpful. ![]() Streamlit is a fantastic tool for developing web apps using Python. Which makes Streamlit the next best Python tool for GUI development. Huggingface only allows Gradio and Streamlit apps (and static pages) on their platform. That way you can share your work with a wider audience and collect more feedback. You could also deploy your app on Huggingface spaces for free. Hence, feedback collection makes Gradio the perfect fit for ML app prototyping. Gradio will collect all the input values, the prediction, and other information.Īs most experienced data scientists know, building and deploying models is a highly iterative process. If the user finds the model prediction is off. As data scientists, you often need to collect feedback from evaluators on your models. What’s cool about Gradio is its ability to collect feedback. You can wrap each Python function in a Gradio interface and display its output on another widget. Let’s dive into each one and learn how you can craft beautiful projects. In this list, the first 11 tools mentioned are great for UI design, while 12-17 are great for UX. Some of these tools have features that work in both UX or UI, but for the sake of your own user experience, we’ve divided the list into two categories 17 useful tools for UI/UX designers We’re going to take a look at some UI and UX tools that you may find handy for your design process. Since this is more conceptual, UX tools are about helping a designer paint the broader picture of how content and organization will affect experience. These tools can help structure the information architecture, as well as how someone will flow through the experience. UX design tools focus on the user and how they’ll experience the content. ![]() They represent the nuts and bolts of a design, communicating its functionality. UI design tools give designers what they need to design accurate hi-fi wireframes, mockups, and prototypes and render minimally viable products.
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