voila
dash
voila | dash | |
---|---|---|
23 | 56 | |
5,214 | 20,502 | |
1.0% | 0.7% | |
7.9 | 9.6 | |
18 days ago | 8 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
voila
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voila VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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Show HN: Mercury – convert Jupyter Notebooks to Web Apps without code rewriting
Quick link: https://github.com/voila-dashboards/voila
Humbly recommend when you share a product, you include a link to it ;)
https://voila.readthedocs.io/en/stable/
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Evidence – Business Intelligence as Code
> 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.
Good luck and much success with it :)
- Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
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Warning, Streamlit collects a lot of data!
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.
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Mercury – Turn Python Notebooks to Web Apps
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 across (like Voilà, Dash, Plotly, and Streamlit).
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Turn Jupyter Notebook to Web App with open-source Mercury framework and Python only
Any insights what the differences between this and Voila are? https://github.com/voila-dashboards/voila
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New library to develop streamlit apps in jupyter
A nifty little alternative to voila, one might say.
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How do you guys share R/Python based analyses to business stakeholders?
Markdown and/or Voilà https://github.com/voila-dashboards/voila
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Looking for web app generator from JSON data
If you are comfortable working in a Jupyter Notebook you can combine ipywidgets & Voila.
dash
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dash VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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[Python] NiceGUI: Lassen Sie jeden Browser das Frontend für Ihren Python-Code sein
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.
- Visualizing parquet in s3 bucket for data analysis?
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Little guidance of a python newbie
You could use something like Streamlit or Dash. In any case you will be accessing your app through the browser.
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Launch HN: Pynecone (YC W23) – Web Apps in Pure Python
Useful list. Dash & bokeh as two more in the space
https://github.com/plotly/dash
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Python projects with best practices on Github?
I also heard of Dash which serves the same purpose I guess, but I think it has more to offer.
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4 Streamlit Alternatives for Building Python Data Apps
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.)
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NiceGUI: Let any browser be the frontend for your Python code
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.
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Sharing interactive Plotly graphs
looks like you can get it manually (albeit with a loss of interactivity) https://github.com/plotly/dash/issues/145
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Containerizing Shiny for Python and Shinylive Applications
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.
What are some alternatives?
mercury - Convert Jupyter Notebooks to Web Apps
streamlit - Streamlit — A faster way to build and share data apps.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
papermill - 📚 Parameterize, execute, and analyze notebooks
panel - Panel: The powerful data exploration & web app framework for Python
PyMe - PyMe is a tool software to develop the Python User Interface for Python programmer.
uvicorn - An ASGI web server, for Python. 🦄
ipyflex - A WYSIWYG layout editor for Jupyter widgets
Flask - The Python micro framework for building web applications.
Solara - A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
nicegui - Create web-based user interfaces with Python. The nice way.