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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Data Science Notebooks
  5. Deepnote vs Polynote

Deepnote vs Polynote

OverviewComparisonAlternatives

Overview

Deepnote
Deepnote
Stacks53
Followers67
Votes14
Polynote
Polynote
Stacks4
Followers9
Votes0
GitHub Stars4.6K
Forks393

Deepnote vs Polynote: What are the differences?

Deepnote vs Polynote - Key Differences

Deepnote and Polynote are both interactive computing environments that are popular among data scientists and analysts. While they share some similarities, there are several key differences that set them apart.

  1. Ease of Use and Accessibility: Deepnote offers a web-based interface with a clean and user-friendly design, making it easily accessible and usable across different devices and operating systems. On the other hand, Polynote requires installation locally and can be accessed through a web browser.

  2. Programming Languages: Deepnote supports Python, R, and SQL, allowing users to seamlessly switch between different programming languages in a single notebook. In contrast, Polynote provides support for several languages including Scala, Python, and SQL, enabling users to work with a wide range of programming languages within the same notebook.

  3. Collaboration: Deepnote provides extensive collaboration features, allowing multiple users to work on the same notebook simultaneously. It supports real-time collaboration, making it easy for team members to collaborate and share insights. Polynote, on the other hand, is primarily designed for individual users and lacks robust collaboration capabilities.

  4. Notebook Customization: Deepnote offers a range of customizable options, including the ability to personalize the notebook appearance, install custom libraries, and configure runtime environments. Polynote provides limited customization options, focusing more on providing a consistent and efficient coding experience.

  5. Data Visualization: Deepnote provides a variety of data visualization options, allowing users to create interactive charts and graphs directly within the notebook. It supports popular visualization libraries such as matplotlib and plotly. Polynote, however, does not provide in-built data visualization capabilities, requiring users to rely on external libraries or tools for data visualization.

  6. Integrated Collaboration Tools: Deepnote offers integration with popular collaboration tools such as GitHub and Slack, making it easy for users to track changes and communicate with their team members directly within the notebook. Polynote does not provide native integration with collaboration tools, requiring manual workflows for version control and communication.

In summary, Deepnote provides a seamless and user-friendly web-based interface with multi-language support, extensive collaboration features, and built-in data visualization capabilities. Polynote, on the other hand, has a local installation requirement, supports a wider range of programming languages, and offers a more streamlined coding experience for individual users.

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Detailed Comparison

Deepnote
Deepnote
Polynote
Polynote

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.

It is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.

Real-time collaboration; Sharing; Comments; Code review; Variable explorer, Autocompletion; Command palette; Keyboard shortcuts
Code editing; Text editing; Multi-language support; Runtime insight
Statistics
GitHub Stars
-
GitHub Stars
4.6K
GitHub Forks
-
GitHub Forks
393
Stacks
53
Stacks
4
Followers
67
Followers
9
Votes
14
Votes
0
Pros & Cons
Pros
  • 4
    Real-time collaboration
  • 4
    Fully managed notebook
  • 4
    GitHub / Gitlab integration
  • 1
    Browser based
  • 1
    Cloud-based
No community feedback yet
Integrations
MongoDB
MongoDB
GitHub
GitHub
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
Snowflake
Snowflake
GitLab
GitLab
Python
Python
Scala
Scala

What are some alternatives to Deepnote, Polynote?

Jupyter

Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

Apache Zeppelin

Apache Zeppelin

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

Google Colaboratory

Google Colaboratory

It is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.

SageMath

SageMath

It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.

Franchise

Franchise

Chart with a single click. Compare queries side by side. Download your work and share it with anyone. If your data is in a CSV, JSON, or XLSX file, loading it is as simple as dropping the file into Franchise.

Starboard

Starboard

It is fully in-browser literate notebooks like Jupyter Notebook. It's probably the quickest way to visualize some data with interactivity, do some prototyping, or build a rudimentary dashboard.

Vayu

Vayu

It is an end-to-end tool for data science, without writing any code. Import, prepare, analyze, visualize and share in just a few clicks. Build interactive reports, automate workflows and share templates.

mljar Mercury

mljar Mercury

It is the easiest way to turn your Python Notebooks into interactive web applications and publish to the cloud. It is dual-licensed. The main features are available in the open-source version. It is perfect for quick demos, educational purposes, sharing notebooks with friends.

Marimo

Marimo

It is a reactive notebook for Python. It allows you to rapidly experiment with data and models, code with confidence in your notebook’s correctness, and productionize notebooks as pipelines or interactive web apps.

Luminal

Luminal

It is a new kind of Python notebook that makes it faster and easier to write Python scripts. It is built with static typing at its core from day one, it gives you the code insight you've always wanted.

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