DearPyGui
streamlit
Our great sponsors
DearPyGui | streamlit | |
---|---|---|
257 | 253 | |
12,184 | 31,361 | |
- | 3.2% | |
7.8 | 9.8 | |
14 days ago | 3 days ago | |
C++ | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DearPyGui
-
PysimpleGUI
For native GUI, DearPyGui[0] as modern as you can.
For browser web-based GUI, you can use nicegui[1]
-
Need help with text alignment
If it's just to align text in the centre or to the right of a box, you could use a button and, by using theming, hide the fact that it's a button. https://github.com/hoffstadt/DearPyGui/issues/1111
-
Which GUI module is better in Python? tkinter or PyQt or kivy?
Personally, i like PyQt or PySide they have basically everything you need to make a proper app or even simple apps, but there is another DearPyGui this is basically python version of imgui the c++ library, it provides some good customization options and can be used for simple or complex projects too, their discord is also very helpful.
-
Dynamic plot
There are some examples in the showcase as well. https://github.com/hoffstadt/DearPyGui/wiki/Dear-PyGui-Showcase
-
What tools are available to begin building a GUI for python?
I was using PyQt5/PySide which will give you a nice native look but I eventually shifted over to DearPyGui for most of my smaller utilities. Its just faster for me. You will get more options and freedom with PyQt/PySide though and can use QT Designer to design your interfaces pretty easily.
-
Projects you've done
With regard to structuring the files, I watched a few videos on Model-View-Controller and similar approaches for inspiration. I tried to separate the model, view and controller logic for the GUI and audio functionality, although that may not be 100% possible. It is partly dependent on the libraries that you are using, so your approach may vary. You could check out some of the apps in the Dear PyGui showcase gallery to learn how they structured their files. https://github.com/hoffstadt/DearPyGui/wiki/Dear-PyGui-Showcase
-
Interactive Plots in Python Based Application
Dear PyGui is a great GUI for creating interactive charts. You can check out various examples on the showcase gallery.
- [Discussion] Python: GUI library that works well with OpenCV?
-
What are you guys using for making GUIs nowadays?
DearPyGui, here's the link
-
tkinter in 2023?
It all depends on your requirements, e.g. license, documentation, appearance, performance, etc. You could also check out other GUI frameworks, such as Dear PyGui.
streamlit
-
π¦ Llama-2-GGML-CSV-Chatbot π€
Developed using Langchain and Streamlit technologies for enhanced performance.
-
Python dev considering Electron vs. Kivy for desktop app UI
Hello,
Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.
-
Show HN: Buefy Web Components for Streamlit
While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.
Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.
Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.
Demo: https://streamfy.streamlit.app
All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.
Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]
Thanks!
-
Show HN: Hyperdiv β Reactive, immediate-mode web UI framework for Python
Looks cool. How do you see this differing from streamlit? https://streamlit.io/
-
Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.
-
Using LangServe to build REST APIs for LangChain Applications
In this tutorial, you'll construct a fully functional Streamlit application from the ground up. Streamlit lets you turn simple data scripts into web applications without traditional front-end tools. This application will be capable of downloading audio from any YouTube video, transcribing it using Deepgram, and then summarizing the content with the assistance of Mistral 7B, all streamlined through the capabilities of Langchain.
- Ask HN: Can I create a mobile and Web App using Python/Python Framework?
-
Creating Videos with Stable Video Diffusion
Install the Stable Diffusion tools and checkpoints, and run it all with Streamlit.
-
Build a Streamlit app with LangChain and Amazon Bedrock
Streamlit is an open-source Python library which makes it easy to build web applications for machine learning and data science. It has a set of rich APIs for visual components including several chat elements, making it quite convenient to build conversational agents or chatbots, especially when combined with LLMs (Large Language Models).
-
Let's build your first ML app in Google Cloud Run
Having successfully deployed your model endpoint, it is now time to show the world how it works, to achieve this we build a web-interface for anyone to use. Enter Streamlit, think of it as a bridge between your data and the world, letting you present insights, perform analyses, and even collect user input with ease. It's perfect for data scientists, analysts, and anyone who wants to leverage the power of their data in a visually appealing and interactive way.
What are some alternatives?
PyWebIO - Write interactive web app in script way.
gradio - Build and share delightful machine learning apps, all in Python. π Star to support our work!
PySimpleGUI - Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
superset - Apache Superset is a Data Visualization and Data Exploration Platform
nicegui - Create web-based user interfaces with Python. The nice way.
kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
reflex - πΈοΈ Web apps in pure Python π
dash - Data Apps & Dashboards for Python. No JavaScript Required.
datapane - Build and share data reports in 100% Python
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
panel - Panel: The powerful data exploration & web app framework for Python