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Deepnote Reviews

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4.5
9 Reviews
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About Deepnote

Deepnote's AI Copilot is a key feature introduced to enhance data exploration in notebooks. It provides efficient and contextual code suggestions, which is a significant step towards AI-powered data exploration.

Generative AI is revolutionizing data analytics, and Deepnote is at the forefront of this transformation. The ability to use natural language to work more effectively with analytical code, generate data visualizations from business inquiries, and sift through large datasets for insights in a conversational manner are some of the advancements on the horizon.

Deepnote believes that data notebooks are the ideal platform for AI-assisted data exploration. Notebooks offer a more dynamic and versatile platform compared to chat interfaces. They provide an ideal platform for a more harmonious integration of AI assistance, helping users stay immersed in their workflow.

Notebooks encapsulate not only your code, files, and data, but also the accompanying narrative, analytical goals, and thought process in approaching a problem. In Deepnote, this extends beyond a single notebook, where insights about your project structure add another layer of valuable context. This wealth of organizational knowledge presents enormous potential for AI assistance to leverage.

AI Copilot provides code suggestions with lightning speed, understanding the full scope of your notebook. The more text and code you write as context, the more relevant code suggestions you will see. With this tool at your disposal, you can focus more on the big picture, letting the AI handle the more repetitive and tedious parts of coding tasks. This is particularly beneficial for data scientists and analysts who do most of their work in Python or other coding languages and wish to cut back on repetition and boilerplate code. Efficiency is paramount for these seasoned data practitioners.

Deepnote AI is designed to make your data work more efficient and productive. You can ask questions in plain language, and Deepnote AI will craft or revise code according to your instructions. It can also provide concise explanations for complex pieces of code, enhancing your understanding. This makes your data work more efficient and productive.

In every single notebook used by Deepnote teams, Deepnote AI is available to assist in generating code suggestions to accomplish any plain-English task it receives. This boosts the efficiency of not only engineering teams, but also non-technical team members.

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Deepnote Customer Reviews (9)

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Deepnote Customer’s Q&A

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Deepnote Features and Benefits

Deepnote's AI Copilot is a key feature introduced to enhance data exploration in notebooks. It provides efficient and contextual code suggestions, which is a significant step towards AI-powered data exploration.

Generative AI is revolutionizing data analytics, and Deepnote is at the forefront of this transformation. The ability to use natural language to work more effectively with analytical code, generate data visualizations from business inquiries, and sift through large datasets for insights in a conversational manner are some of the advancements on the horizon.

Deepnote believes that data notebooks are the ideal platform for AI-assisted data exploration. Notebooks offer a more dynamic and versatile platform compared to chat interfaces. They provide an ideal platform for a more harmonious integration of AI assistance, helping users stay immersed in their workflow.

Notebooks encapsulate not only your code, files, and data, but also the accompanying narrative, analytical goals, and thought process in approaching a problem. In Deepnote, this extends beyond a single notebook, where insights about your project structure add another layer of valuable context. This wealth of organizational knowledge presents enormous potential for AI assistance to leverage.

AI Copilot provides code suggestions with lightning speed, understanding the full scope of your notebook. The more text and code you write as context, the more relevant code suggestions you will see. With this tool at your disposal, you can focus more on the big picture, letting the AI handle the more repetitive and tedious parts of coding tasks. This is particularly beneficial for data scientists and analysts who do most of their work in Python or other coding languages and wish to cut back on repetition and boilerplate code. Efficiency is paramount for these seasoned data practitioners.

Deepnote AI is designed to make your data work more efficient and productive. You can ask questions in plain language, and Deepnote AI will craft or revise code according to your instructions. It can also provide concise explanations for complex pieces of code, enhancing your understanding. This makes your data work more efficient and productive.

In every single notebook used by Deepnote teams, Deepnote AI is available to assist in generating code suggestions to accomplish any plain-English task it receives. This boosts the efficiency of not only engineering teams, but also non-technical team members.

Deepnote Pricing

Deepnote offers three pricing plans:

  1. Free Plan: Ideal for hobbyists and up-and-coming data scientists. Includes up to 3 editors, 5 projects, AI-powered code completion, and basic machines with 5GB RAM and 2vCPU.

  2. Team Plan: Priced at $31 per editor/month (billed yearly). Includes unlimited viewers and notebooks, Deepnote AI, premium integrations, and plus machines with 16GB RAM and 4vCPU.

  3. Enterprise Plan: Custom pricing for organizations requiring additional security, compute, and deployment options. Includes volume machine discounts, SSO & directory sync, audit logs, and dedicated success manager.

Deepnote FAQs

FAQ

Deepnote Alternatives

Top 10 Deepnote alternatives:

  1. Jupyter: A web application for creating and sharing documents with live code, equations, visualizations, and explanatory text.
  2. IPython: An interactive shell for Python with enhanced introspection, additional shell syntax, syntax highlighting, tab completion, and rich history.
  3. Briefer: A multiplayer notebook for running SQL and Python, turning notebooks into dashboards and data apps.
  4. nteract: An interactive computing suite that allows users to write code, text, and visualizations in a single document.
  5. Livebook: A platform for creating interactive and collaborative notebooks with real-time collaboration features.
  6. Noteable: A collaborative notebook experience that breaks down barriers for data teams.
  7. Looker: A web-based data discovery platform that empowers business users to find their own answers.
  8. Tableau: A business intelligence application providing browser-based analytics.
  9. Sigma: A platform for analyzing cloud data in real-time without coding.
  10. PyCharm: An integrated development environment for Python with a wide range of features for data analysis and visualization.
FAQ

Deepnote Return Policy?

Deepnote's return policy includes the following key points:

  1. Subscription Cancellation: Users can cancel their subscription at any time.
  2. Prorated Refunds: If a subscription is canceled, a prorated refund is issued for any unused days of the month.
  3. Downgrading Plans: When downgrading a plan, users will lose access to features not available on the Free plan.
  4. Paid Seats: Removing a paid seat does not result in a prorated refund, but the seat can be reassigned to another user within the company.
FAQ

How To Open A Deepnote Account?

To open an account on Deepnote:

  1. Visit the Deepnote website.
  2. Click on the “Sign Up” or “Get Started” button.
  3. Choose a sign-up method: Google, GitHub, or email and password.
  4. Follow the prompts to complete the account creation process.

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