Deepnote
IntegrationsPricing
Join usDocsSign in

Google Drive data directly in a notebook

Connect Google Drive to your notebook and easily browse files just like you do on your computer. You can read, write, update or delete any data.

Read the Google Drive docs
Trusted by data scientists at
Discord logoGusto logoWebflow logoWithin logo
An exploratory analysis in Deepnote notebook

Google Drive in Jupyter notebooks

Google Drive allows you to easily back-up, store and synchronize your files.

When connected to a Deepnote notebook, your a Google Drive folder will be mounted along with the notebook's filesystem. Then you can easily reference, upload, delete or update any file from your Drive.

Explore Google Drive docs →
Snowflake, MongoDB, PostgreSQL and an Amazon S3 bucket connected to a Deepnote project as integrations

Collaborative by default

We built collaboration into Deepnote by default because data teams don’t work alone.

Deepnote runs seamlessly in the cloud, making environment management a non-issue. And sharing work is as easy as sending a link (think Google Docs).


Allie Russel

Allie Russell · Senior Manager, Data Science at Webflow

“Deepnote allowed us get on the same page through collaboration, and everyone gets to use their preferred tools.”

Webflow
CollaborationCommentsVersioning
Team of 4 collaborators with different permissions for greater data security

Integrates with your data stack

Deepnote works with the tools and frameworks you’re already using and familiar with. Use Python, SQL, R, TensorFlow, PyTorch, and any of your favorite languages or frameworks. Easily connect to data sources with dozens of native integrations.


Becca Carter

Becca Carter · Analytics Lead at Gusto

”Deepnote was incredibly easy to set up and allows us to start new notebooks in seconds.”

Datastores and Metrics

Languages

Libraries

Deepnote
Product
© 2022 Deepnote. All rights reserved.