Deepnote

Deepnote is a collaborative data workspace where teams can work together to turn insights into results. It combines the power of Python, SQL and no-code tools to explore, analyze, and share data. And it uses AI to boost productivity and make data analysis easier.

Deepnote integrates with a variety of data warehouses, databases and lakehouses, including Snowflake, BigQuery and PostgreSQL. You can query them directly in your notebooks, and you can also query data in your notebooks directly from the sources. And you can drag and drop CSV files.

Among other features, Deepnote offers:

• AI-powered Code Completion: Tell Deepnote what you want to do, and it'll write the code for you so you don't have to.
• Interactive Visualizations: Create configurable charts from dataframes in an instant.
• Beautiful Apps & Dashboards: Turn quick data explorations into professional reports and apps.
• Schedule Notebooks: Run notebooks on a schedule to automate repetitive tasks.
• Deploy Notebooks as APIs: Package your notebooks into production, serving your models directly.
• Run on Powerful GPUs: Select from a variety of hardware configurations to get the performance you need.

Collaboration is built in with features like:

• Real-time Commenting: Ask questions or leave feedback on blocks.
• Version Control: See changes and revisions to notebooks.
• Sharing: Share notebooks by sending links or inviting people with email invites.

Deepnote has three pricing tiers:

• Free: Good for data scientists getting started, with up to 3 editors, 5 projects and unlimited basic machines.
• Team: Good for data teams, at $31 per editor per month, with unlimited viewers and notebooks, premium integrations and 30-day revision history.
• Enterprise: Custom pricing for companies that need more security, compute and deployment options.

Deepnote prioritizes data security with encryption, RBAC, SSO and directory sync, and it's HIPAA and SOC 2 compliant. That's a big deal for teams working with sensitive data.

More than 300,000 data professionals use Deepnote, and the company is geared to make data analysis easier. That makes it a good option for data teams that want to get more out of their collaborative work.

Published on July 2, 2024