Streamlit 101 - A faster way to build and share data apps 

Thanks Dmitry for the support :)

I suppose you could use the highcharts library?

Happy to help! Try this documentation: docs.streamlit.io/develop/tutorials/databases/postgresql If you still run into questions, please let us know on the forum! discuss.streamlit.io/

athane le code pour postgresql: import streamlit as st import psycopg2 import pandas as pd import matplotlib.pyplot as plt # Connect to the PostgreSQL database conn = psycopg2.connect(dbname="dbname", user="youruser", password="yourpassword", host="localhost") # Allow user to select data to visualize table = st.selectbox("Select table", ["billions", "countries"]) # Write a function to query data from the table @st.cache_resource def load_data(table): cur = conn.cursor() cur.execute(f"SELECT * FROM {table}") rows = cur.fetchall() cur.close() return rows # Load data into a pandas DataFrame rows = load_data(table) df = pd.DataFrame(rows, columns=["country_id", "country"]) # Replace with actual column names # Create a bar chart plt.figure(figsize=(8, 6)) plt.bar(df["country_id"], df["country"]) plt.xlabel("X-axis label") plt.ylabel("Y-axis label") plt.title("Bar Chart") st.pyplot(plt) # Close the database connection conn.close()