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DeepnoteA better data science notebook.

Data science is as much a scientific and creative process as it is an engineering one. It involves working together, failing, learning and going back to the drawing board. Data scientists are explorers. To make data projects successful, we need tools that are both powerful and easy to use. Tools that help us collaborate and share our work in an engaging way. Tools that make data science fun again. At Deepnote, we’re building a new standard in data tooling — a notebook that brings teams together to explore, analyze and present data from start to finish. We are building tools for explorers. Join us.

2020-02-06
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More About Deepnote

Deepnote: Analytics and Data Science Notebook for Teams

Introduction

Deepnote is an AI-powered data workspace designed to enhance the productivity of data analysts and data scientists. Powered by GPT-4, Deepnote transforms traditional notebooks into powerful data apps and dashboards, enabling seamless collaboration and efficient data analysis.

Key Features

  • AI-Powered Notebooks: Utilize GPT-4 to query, analyze, and interpret data with minimal coding.
  • Multi-Language Support: Write in Python, SQL, R, or use no-code options.
  • Data Source Integration: Connect to over 50 data sources including Snowflake, BigQuery, and CSV.
  • Interactive Dashboards: Create and share interactive visualizations and dashboards.
  • Code Assistance: Features like code refactoring, generation, explanation, completion, and debugging.
  • Scheduling and Deployment: Schedule notebooks to run at regular intervals and deploy them as APIs.
  • Collaboration Tools: Share work easily, comment, review, and version control within the team.
  • Security and Compliance: Secure and compliant with HIPAA, SOC 2, GDPR, and more.

Use Cases

  • Quick Explorations: Rapidly explore data and generate insights.
  • Data Apps and Dashboards: Build and share comprehensive data applications and dashboards.
  • ETL Pipelines: Streamline data extraction, transformation, and loading processes.
  • Sales and Marketing Analytics: Generate sales reports, customer 360 views, and lead scoring models.
  • Operational Analytics: Conduct A/B test evaluations, AWS cost analysis, and NPS analysis.
  • Advanced Data Science: Fine-tune models like LLaMA 7B and visualize complex data such as protein structures.

Pricing

Deepnote offers a free tier to get started, with additional pricing plans available for more advanced features and larger teams. Custom deployment options are also available for enterprise needs.

Teams

Deepnote is designed for seamless team collaboration:

  • Product Managers: Organize data projects, build libraries, and streamline information retrieval.
  • Data Scientists: Share work effortlessly, use advanced permission models, and integrate with popular data warehouses.
  • Security Teams: Ensure data security with RBAC, SSO, directory sync, and custom deployment options.

Deepnote is trusted by over 300,000 data professionals and is used in top universities and leading companies worldwide. Get started today to revolutionize your data analysis workflow.