@Mrcello89
Welcome to the Dataiku Community. We are glad to have you join us.
If you are able to do a little bit of Python Coding this thread here in the community might be of some help.
https://community.dataiku.com/t5/Using-Dataiku/List-of-all-project-and-respective-tables-in-dataiku/...
Also from this thread https://community.dataiku.com/t5/Using-Dataiku/How-to-get-a-list-of-the-datasets-in-a-notebook/m-p/3.... I adapted the following code. Note this provides a lot of data on each dataset.
# -------------------------------------------------------------------------------- NOTEBOOK-CELL: CODE
# -*- coding: utf-8 -*-
import dataiku
import pandas as pd, numpy as np
from dataiku import pandasutils as pdu
# -------------------------------------------------------------------------------- NOTEBOOK-CELL: CODE
project_name = "FF_TYPICAL_DATA_CLEANUP" # You can find this in the Project URL
client = dataiku.api_client()
project = client.get_project(project_name)
datasets = project.list_datasets()
# -------------------------------------------------------------------------------- NOTEBOOK-CELL: CODE
# Write recipe outputs
output_data_set_name = "test" #This can be found on the right side of a Python Code Recipe Screen
test = dataiku.Dataset(output_data_set_name)
test.write_with_schema(pd.DataFrame.from_records(datasets))
Hope this helps a bit.
--Tom
