dash VS three.js

Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.

You could use something like Streamlit or Dash. In any case you will be accessing your app through the browser.

Useful list. Dash & bokeh as two more in the space

https://github.com/plotly/dash

I also heard of Dash which serves the same purpose I guess, but I think it has more to offer.

Plotly is a plotting library, and Dash is their open-source framework for building data apps with Python, R or Julia. (Dash also has an Enterprise version, but we'll focus on the open-source library here.)

Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.

looks like you can get it manually (albeit with a loss of interactivity) https://github.com/plotly/dash/issues/145

Shiny is a framework that makes it easy to build interactive web applications. Shiny was introduced 10 years ago as an R package. In his 10th anniversary keynote speech, Joe Cheng announced Shiny for Python at the 2022 RStudio Conference. Python programmers can now try out Shiny to create interactive data-driven web applications. Shiny comes as an alternative to other frameworks, like Dash, or Streamlit.

Regarding the optimization of the effect, I found an issue on the three.js GitHub repository: https://github.com/mrdoob/three.js/issues/14104 The alpha channel issue seems to be a difficult problem, which has been present since 2018. At the end of the discussion, a solution proposed by a contributor is not to modify the UnrealBloomPass but to blend the source texture and target texture in the shader.

Here's how we used Three.js to place and find affirmations in the sky.

Three.js is dedicated to generating 3D visuals, offering a powerful suite of features and tools. It is built atop WebGL and optimizes GPU usage for rapid rendering, ensuring smooth performance across devices, including those with limited resources. Three.js's versatility allows for the creation of a vast spectrum of 3D graphics and animations, ranging from simple shapes to intricate models.

7. three.js

Most of frontend libraries are made with Vanilla JS. An example of library that you might frequently use is "Chart.js". But React is not compatible with Chart.js so here it comes "React-chartjs-2" A wrapper library to work with Chart.js in React ecosystem. Oh you want to use "three.js" for some cool 3D? you will need "React-three/fiber". In my case, I need to implement "telegram-web-app", not so fast, I have to create my own wrapper to be able to use it.

For one of my 100-Day Challenges, I chose to dive into Three.js, a JavaScript 3D library. It's easy to start learning, and it becomes difficult to master with the inclusion of shaders.

Nonetheless, it offers nearly infinite possibilities. You can code and create anything, from a mobile app with React Native to a desktop application with Electron.js. Furthermore, JavaScript provides excellent frameworks and libraries that can be applied in various approaches, such as React, Three, Vue, Meteor, and Astro.