> For the complete documentation index, see [llms.txt](https://appseed.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://appseed.gitbook.io/docs/developer-tools/flask-dynamic-datatables.md). # Flask Dynamic DataTables 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](https://github.com/app-generator/devtool-flask-dynamic-datatb) - source code (MIT License) * 👉 Free [support](https://appseed.us/support/) via Email and [Discord](https://discord.gg/fZC6hup) * 👉 More [Developer Tools](https://appseed.us/developer-tools/) - provided by AppSeed ### 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: {% embed url="" %} Flask Dynamic DataTables - Free Tool for Developers {% endembed %} ## 🚀 Where to go from here * 👉 Contact AppSeed using the [support](https://appseed.us/support/) page * 👉 Use the [App Generator](https://appseed.us/generator) to generate a new project