Overview
What is Deepnote?
Deepnote is a data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud.
Pricing
Entry-level set up fee?
- Setup fee optional
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Alternatives Pricing
Product Demos
Deepnote Embeds Updated Google Workspace Demo
NWDSE2022 Deepnote Demo
Great Expectation & Deepnote Integration
Deepnote Embeds Google Workspace Demo
⭐ [New in Deepnote] SQL + Python cells
Three reasons for using Deepnote on data science teams
Product Details
- About
- Integrations
- Competitors
- Tech Details
What is Deepnote?
Deepnote Features
Platform Connectivity Features
- Supported: Connect to Multiple Data Sources
- Supported: Extend Existing Data Sources
- Supported: Automatic Data Format Detection
- Supported: MDM Integration
Data Exploration Features
- Supported: Visualization
- Supported: Interactive Data Analysis
Data Preparation Features
- Supported: Interactive Data Cleaning and Enrichment
- Supported: Data Encryption
Platform Data Modeling Features
- Supported: Multiple Model Development Languages and Tools
- Supported: Single platform for multiple model development
- Supported: Self-Service Model Delivery
Model Deployment Features
- Supported: Flexible Model Publishing Options
- Supported: Security, Governance, and Cost Controls
Additional Features
- Supported: Real-time collaboration
Deepnote Screenshots
Deepnote Integrations
Deepnote Competitors
Deepnote Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Windows, Linux, Mac |
Mobile Application | No |
Supported Countries | Globally |
Supported Languages | English |
Comparisons
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Reviews
Community Insights
- Business Problems Solved
- Pros
- Cons
Deepnote is a cloud-based platform that solves several business problems for users who are involved in data analytics and Python programming. With Deepnote, users can easily collaborate on projects, share their work, and perform exploratory data analyses with ease. One key problem that Deepnote solves is the challenge of remote working. Users can collaborate on code in real-time while working remotely, allowing teams to work together effectively regardless of their location. Additionally, Deepnote requires minimal setup and is accessible from anywhere, enabling users to work on projects on the cloud and present results quickly.
Deepnote also simplifies online collaboration and setup by eliminating the need to install Python programs or anything else on users' computers. This makes it easy for data teams to collaborate more easily, review each other's work and hand off to engineering teams. Moreover, Deepnote enables users to create content and tutorials to share with their connections effortlessly. The platform saves users time thanks to its intuitive design and ease of use. With Deepnote, users can seamlessly share files and add teammates to projects which helps with productivity and collaboration. Overall, Deepnote is a great solution for teams looking for an efficient way to perform data analytics and colloborate in real-time while working remotely or in the same location.
Intuitive UI: Many users have praised Deepnote's clean and intuitive user interface, stating that it is easy to navigate and understand. This sentiment was shared by a large number of reviewers who appreciated how the software made their work more efficient.
Seamless Collaboration: The collaboration features in Deepnote are consistently praised by users, who find it easy and seamless to work with colleagues in real-time. Several reviewers stated that this feature enabled them to collaborate effectively without any issues.
Support for R and Python: Deepnote's support for R and Python is another highlight for many users, as it allows them to work seamlessly with their preferred programming languages. Multiple users have noted that this feature has made data analysis easier and faster by leveraging the strengths of both languages.
Limitations of Deepnote:
- Fixed right-hand pane: Some users have reported that the fixed right-hand pane limits the available working space, making it difficult to work with smaller screens.
- Slow user experience: The software has been noted to have a slow user experience, especially when loading projects or starting clusters.
- Missing features compared to Jupyter Notebook: While Deepnote has been praised by some users, others have mentioned that certain features present in Jupyter Notebook are missing.