Flask Dynamic DataTables
Developer Tool - Dynamic DataTables via Flask
Last updated
Developer Tool - Dynamic DataTables via Flask
Last updated
The tool aims to provide a powerful data table interface using the developer's minimum amount of code For newcomers, Flask is a leading backend framework used to code from simple websites and APIs to complex eCommerce solutions. The presentation layer uses Simple-DataTables and Vanilla JS code to render the information.
👉 Flask Dynamic DataTables - source code (MIT License)
👉 More Developer Tools - provided by AppSeed
As mentioned above, the Dynamic DataTables tool aims to enable a powerful data table interface on top of any Flask codebase with a minimum effort. Here are the steps:
Define a new model in the project (an old one can be also used)
Execute the database migration to create/update the associated tables
Update the configuration to enable the Dynamic Data Table service over the model
Start the app
Access the Dynamic DataTable provided on op of the model
For instance, if the new model managed by the Dynamic Data Table Service is called books, the associate API is exposed at /datatb/books/
A video presentation of this feature can be found on YouTube:
👉 Contact AppSeed using the support page
👉 Use the App Generator to generate a new project