st-kaggle-connector 0.1.3

Custom component that allows to import Kaggle datasets to Streamlit apps.

Kaggle is the world's largest data science community. It enables users to explore and analyze a wide variety of public datasets. This app demonstrates a simple KaggleDatasetConnection which was built by extending the built-in BaseConnection You can view the connection source code here.

While Kaggle offers datasets in different formats, this connector ONLY supports CSV files.

A user can connect to a Kaggle dataset by providing the dataset path and filename. The path is the part of the dataset URL after the domain name, the structure is following: username/dataset-name. For example, for the dataset https://www.kaggle.com/shivamb/netflix-shows, the path is shivamb/netflix-shows, and the file name is netflix_titles.csv.

Using this example, the code to connect to the dataset would look like this:

from st_kaggle_connector import KaggleDatasetConnection
import streamlit as st

conn = st.connection("kaggle_datasets", type=KaggleDatasetConnection)
df = conn.get(path='shivamb/netflix-shows', filename='netflix_titles.csv', ttl=3600)

KaggleDatasetConnection` class assumes that you have secrets set up in the following format:

[connections.kaggle_datasets]
 KAGGLE_USERNAME = "insert your Kaggle username"
 KAGGLE_KEY = "insert your Kaggle API key"