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Connect Deepnote to anything

Deepnote supports all programming languages, frameworks, and databases. We wrote a few guides on how to get started.

GitHub

Attach a repository to your project to read or commit to any branch.

Google Drive

Mount Google Drive directories in your projects to read and edit its files.

BigQuery

Connect to your BigQuery warehouse and query the data with dedicated SQL cells.

Snowflake

Connect to a Snowflake warehouse and query the data with dedicated SQL cells.

S3 Buckets

Attach a bucket to your project and read, edit or upload files to the bucket.

PostgreSQL

Connect to a Postgres instance and use SQL directly from a notebook inerface.

Redshift

Connect to a Redshift warehouse and query the data with dedicated SQL cells.

MongoDB

Connect to a MongoDB instance and query data with pymongo.

Dropbox

Read and write to your Dropbox files directly from a notebook.

Google Container Registry

Authenticate and use your private Docker images from GCR as a base for Deepnote projects.

DockerHub

Authenticate and use your private Docker images from DockerHub as a base for Deepnote projects.

Amazon ECR

Authenticate and use your private Docker images from AWS ECR as a base for Deepnote projects.

GCS Buckets

Mount both public and private buckets directly to the project filesystem.

Amazon Athena

Connect to Athena instance and query the data with dedicated SQL cells.

MySQL

Connect to a MySQL instance and query the data with dedicated SQL cells.

MariaDB

Connect to a MariaDB instance and query the data with dedicated SQL cells.

Use cases

Chart Creator

Python and SQL

Jupyter Diff Tool

Data Science Interviews

SQL Diff Tool

Explore all use cases

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