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Flask Dynamic DataTables

Developer Tool - Dynamic DataTables via Flask
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.

Tool Specs & Status

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:
Flask Dynamic DataTables - Free Tool for Developers

🚀 Where to go from here