What is Deepnote used for?

Deepnote is a collaborative notebook platform where analytics and data science teams work in Python and SQL, build data apps and dashboards, and share results. It is a good fit for team data science collaboration, sharing analysis as interactive data apps and moving off local Jupyter notebooks.

Yes. Deepnote has a free plan, and paid plans start at $39 per seat per month. A free trial is also available.

Is Deepnote open source?

No. Deepnote is proprietary (closed-source) software. Open-source alternatives to Deepnote include Briefer and Apache Zeppelin.

What are some alternatives to Deepnote?

Deepnote competes with Hex, Observable and Julius AI. For open-source options, see Enlisted's ranked list of open-source Deepnote alternatives.

Deepnote: features, pricing and alternatives

About Deepnote

Deepnote is a collaborative data notebook platform. Teams explore data with Python and SQL in a shared workspace, then turn the results into data apps and dashboards that colleagues can use, so analysis does not stay locked inside one person's local environment.

The platform lists a wide range of capabilities: an AI assistant, alerts for monitoring metrics, a semantic layer that works with modules, LookML and dbt, many data source integrations, data engineering for ETL and ELT pipelines, a data catalog, code reviews, history and versioning, and security features such as SOC 2 and HIPAA support. For machine learning it supports model training, serving and monitoring, with access to GPUs and Spark. Its newest framing is an open data workspace for both people and AI agents.

Deepnote is a proprietary hosted commercial product. The vendor publishes pricing, offers demos and an enterprise plan, and compares itself with Jupyter, Google Colab, Databricks and other notebook tools.

Key features

Shared Python and SQL notebooks
Data apps and dashboards from notebooks
AI assistant for analysis
Semantic layer with dbt and LookML
History, versioning and code reviews
Model training and serving from notebooks

Good fit for

→Team data science collaboration
→Sharing analysis as interactive data apps
→Moving off local Jupyter notebooks

Tags: notebooks; data-science; python; sql; collaboration; dashboards; data-apps; machine-learning

Deepnote: questions and answers

What is Deepnote used for?: Deepnote is a collaborative notebook platform where analytics and data science teams work in Python and SQL, build data apps and dashboards, and share results. It is a good fit for team data science collaboration, sharing analysis as interactive data apps and moving off local Jupyter notebooks.
Is Deepnote free?: Yes. Deepnote has a free plan, and paid plans start at $39 per seat per month. A free trial is also available.
Is Deepnote open source?: No. Deepnote is proprietary (closed-source) software. Open-source alternatives to Deepnote include Briefer and Apache Zeppelin.
What are some alternatives to Deepnote?: Deepnote competes with Hex, Observable and Julius AI. For open-source options, see Enlisted's ranked list of open-source Deepnote alternatives.