Using Jupyter with Chakra

You can connect Jupyter notebooks to your Chakra database using the standard Python client. Here’s a quick example:

from chakra_py import Chakra
import pandas as pd

# Initialize client
client = Chakra("YOUR_DB_SESSION_KEY")

# Query your data
df = client.execute("SELECT * FROM table_name")

# Use pandas, matplotlib, or other visualization libraries
df.plot()

Consider Using Marimo

While Jupyter notebooks are widely used, we recommend trying Marimo - a modern Python notebook that addresses many of Jupyter’s limitations. Marimo offers:

  • Real-time reactivity
  • Better version control compatibility
  • Cleaner code organization
  • Enhanced reproducibility
  • Native UI components

Check out this example Marimo notebook that demonstrates how to analyze and visualize Chakra data effectively.

Using Jupyter with Chakra

You can connect Jupyter notebooks to your Chakra database using the standard Python client. Here’s a quick example:

from chakra_py import Chakra
import pandas as pd

# Initialize client
client = Chakra("YOUR_DB_SESSION_KEY")

# Query your data
df = client.execute("SELECT * FROM table_name")

# Use pandas, matplotlib, or other visualization libraries
df.plot()

Consider Using Marimo

While Jupyter notebooks are widely used, we recommend trying Marimo - a modern Python notebook that addresses many of Jupyter’s limitations. Marimo offers:

  • Real-time reactivity
  • Better version control compatibility
  • Cleaner code organization
  • Enhanced reproducibility
  • Native UI components

Check out this example Marimo notebook that demonstrates how to analyze and visualize Chakra data effectively.