Voilà
Streamlit
Shiny
Streamsync
Capto
Dash by Plotly
Django
ESO Scheduling
Visual Studio Code
Atom
Sublime Text
Vim
Notepad++
Microsoft Visual Studio
IntelliJ IDEA
Node.js
Voilà Visual Studio CodeBased on our record, Visual Studio Code seems to be a lot more popular than Voilà. While we know about 1019 links to Visual Studio Code, we've tracked only 11 mentions of Voilà. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> Works with CI/CD out of the box. Deploy to vercel, netlify, your own infra. Jupyter is suited for whatever you want to do with it. Voila exists to enable the use case of re-generating notebooks on a CI/CD system: https://github.com/voila-dashboards/voila Anyways, seems like the templating is more powerful than the one being offered by Jupyter Notebooks.... - Source: Hacker News / about 1 year ago
I don't understand why everyone isn't just using voila. it's so much better than streamlit or gradio. But that's just my opinion I guess. Source: about 1 year ago
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come... Source: about 1 year ago
Any insights what the differences between this and Voila are? Https://github.com/voila-dashboards/voila. Source: about 1 year ago
A nifty little alternative to voila, one might say. - Source: dev.to / over 1 year ago
Now, let's open this project in the editor of your choice (I'm using Visual Studio Code), and you should see something like this:. - Source: dev.to / 1 day ago
Microsoft's Visual Studio Code is the premier code editor for developers across all frameworks, languages, and libraries. Its standout feature is a vast library of extensions designed to boost productivity. Imagine leveraging TabNine for AI-driven code completion or integrating GitHub Copilot to accelerate your coding tenfold with its AI-assisted capabilities. Beyond this, Visual Studio Code offers built-in Git... - Source: dev.to / 2 days ago
An IDE or text editor; we'll use Visual Studio 2022 for this tutorial, but a lightweight IDE such as Visual Studio Code will work just as well. - Source: dev.to / 6 days ago
Choosing IDE: Selecting the right Integrated Development Environment (IDE) can make your coding experience smoother. Consider popular options like as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and configure it to work with Python. - Source: dev.to / 6 days ago
It all starts with the editor. Visual Studio Code (VS Code) is my go-to editor. I was using the Insider’s Edition for the longest time, but some extensions would try to log in and redirect to VS Code regular edition, so I decided to go back to it. That said, VS Code Insider's is very stable. - Source: dev.to / 7 days ago
Streamlit - Turn python scripts into beautiful ML tools
Atom - At GitHub, we’re building the text editor we’ve always wanted: hackable to the core, but approachable on the first day without ever touching a config file. We can’t wait to see what you build with it.
Shiny - Shiny is an R package that makes it easy to build interactive web apps straight from R.
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
Streamsync - Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python.
Vim - Highly configurable text editor built to enable efficient text editing