Blazer VS voila

I try to avoid these tools wherever possible, given the choice I'd always go for tools like Blazer.

https://github.com/ankane/blazer

No such luck in my current role, Looker and PowerBI are both in use by different bits of the org and nobody has the ability to delve into the underlying figures.

As u/jaxn said you could use Blazer for this kind of thing. I would also look into materialized views or custom tables and a scheduled job that calculates the metrics they care about. That will take you a long way. Eventually you can use something like Metabase but I would put that off for as long as possible as it's really expensive and pretty involved.

And it's Open Source: https://github.com/evidence-dev/evidence

I'd also highly recommend Blazer https://github.com/ankane/blazer if you are into the Ruby on Rails world. It's super solid, and it's been an indispensable tool integrated to all my projects.

I use Ahoy too, but I don't have very good visibility into the data. I should spend more time building queries and creating charts. I should probably set up blazer as well: https://github.com/ankane/blazer

blazer

The Blazer gem provides a nice way to analyze the results easily. It is simple to install and allows SQL queries to run against tables. The query here shows that the candidate implementation is significantly faster than the original.

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/

> 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 :)

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.

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).

Any insights what the differences between this and Voila are? https://github.com/voila-dashboards/voila

A nifty little alternative to voila, one might say.

Markdown and/or Voilà https://github.com/voila-dashboards/voila

If you are comfortable working in a Jupyter Notebook you can combine ipywidgets & Voila.