Interact with AI to generate Python code, analyze data, and get insights from your database. Perfect for developers, data scientists, and analysts.
Get Started NowConversational AI that understands your coding needs and provides intelligent assistance for Python development and data analysis.
Run Python code directly in the chat with Jupyter integration. Test, debug, and execute your code in real-time.
Connect to PostgreSQL and analyze your data with AI assistance. Generate queries, visualize results, and gain insights.
Your code and data remain private and secure. Built-in authentication and SSL encryption protect your work.
Create beautiful charts and graphs from your data. AI helps you choose the right visualization for your analysis.
Lightning-fast responses and smooth user experience. Optimized for productivity and efficiency.
Ask the AI to help you with Python code, data analysis, or database queries. Here's an example of what you can do:
User: "Can you help me analyze the sales data in my database?"
AI: "I'll help you analyze your sales data. Let me connect to the database
and get some insights."
import psycopg2
import pandas as pd
import matplotlib.pyplot as plt
# Connect to database
conn = psycopg2.connect(
host="postgres",
database="sample_data",
user="openwebui",
password="your_password"
)
# Query sales data
query = """
SELECT c.name, SUM(s.amount) as total_sales
FROM customers c
JOIN sales s ON c.id = s.customer_id
GROUP BY c.name
ORDER BY total_sales DESC
"""
df = pd.read_sql(query, conn)
print(df)
# Create visualization
plt.figure(figsize=(10, 6))
plt.bar(df['name'], df['total_sales'])
plt.title('Sales by Customer')
plt.xlabel('Customer')
plt.ylabel('Total Sales ($)')
plt.xticks(rotation=45)
plt.tight_layout()
plt.show()
conn.close()