sqlitestudio VS dash

DB4S provides only one algorithm based on official SQLite cipher. You can encrypt your database with another in SQLiteStudio or sqlite-gui (I'm an author). Both applications use SQLite3 Multiple Ciphers-library.

SQLiteStudio is my favourite - https://sqlitestudio.pl/

The most popular apps areDB4S and SQLiteStudio. If you are planning to run long time queries, then you might encounter with problems by running them in parallel in these tools. To run several queries in a real parallel mode you can use Navicat for SQLite or my sqlite-gui.

If you are up to learn SQL queries, I would suggest using SQLite. It stores all information in a single file. You even can use https://sqlitestudio.pl solution so it can be a little more visual.

DB Browser for SQLite and SQLiteStudio both exists, not sure if this is what you are looking for.

Perhaps the simplest, for your case, would be a tool made specifically for SQLite, such as SQLite Studio.

They're database files that you can inspect with a program like DB Browser or SQLiteStudio. You should be able to import permissions.sqlite to different Firefox profiles by just copying it to the right profile directory.

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.