Connect to Turbot Pipes from Deepnote

Deepnote is a collaborative notebook for discovering, understanding and sharing data. It connects to many databases, including Postgres, and enables users to explore, query, and visualize data.

Steampipe provides a single interface to all your cloud, code, logs and more. Because it's built on Postgres, Steampipe provides an endpoint that any Postgres-compatible client -- including Deepnote -- can connect to.

The Connect tab for your workspace provides the details you need to connect Deepnote to Turbot Pipes.

Connect to Steampipe CLI from Deepnote

You can also connect Deepnote to Steampipe CLI. To do that, run steampipe service start --show-password and use the displayed connection details.

Steampipe service is running:

Database:

  Host(s):            localhost, 127.0.0.1, 192.168.29.204
  Port:               9193
  Database:           steampipe
  User:               steampipe
  Password:           99**_****_**8c
  Connection string:  postgres://steampipe:99**_****_**8c@localhost:9193/steampipe

Getting started

Deepnote works with any web browser.

To create a new connection, first click on Projects to create a new project. Then click Create new from the Integrations tab on the right sidebar, select PostgreSQL and enter the connection details. If your connection is protected, you might need to whitelist Deepnote's IP adresses.

Once the integration is successful, click View Schema from the navigation bar to explore the connections in your workspace.

Create a chart with custom query

Let's use the Finance plugin to chart the change percentage for bitcoin during regular market session. To begin, click the SQL block and select the integrated database from the dropdown list on the projects page. Paste this query in the command palette and click Run notebook. You can refresh the notebook on an hourly, daily or weekly schedule to update the data using the Schedule notebook feature.

select
  symbol,
  short_name,
  regular_market_price,
  regular_market_change_percent,
  regular_market_time
from
  finance_quote
where
  symbol in ('GME', 'BTC-USD', 'DOGE-USD', 'ETH-USD');

Deepnote previews the data in a table form. The data can also be exported in a CSV format.

Now click Visualize to open the visualize data form and select Type as Bar chart. Update the X and Y Axis data fields with regular_market_change_percent and symbol to display the chart with the data. Deepnote also supports Block sharing: it can generate a link that anyone can use to view the shared block.

Summary

With Deepnote and Turbot Pipes you can:

View tables in your Turbot Pipes workspace
Write custom queries to preview data from the tables in your Turbot Pipes workspace
Create and share charts driven by your custom queries