Jupyter vs Polynote

Overview

Jupyter

Stacks3.4K

Followers1.4K

Votes57

GitHub Stars12.7K

Forks5.5K

Polynote

Stacks4

Followers9

Votes0

GitHub Stars4.6K

Forks393

Jupyter vs Polynote: What are the differences?

Jupyter and Polynote are both interactive computing environments widely used for data analysis and scientific computing. However, they have some key differences that set them apart from each other.

Language Support: Jupyter primarily supports Python, but it also has support for other programming languages like R and Julia. On the other hand, Polynote is polyglot and designed to provide native support for multiple programming languages, including Python, Scala, and SQL. This makes Polynote more versatile for multi-language data analysis tasks.
Notebook Layout: Jupyter notebooks have a linear structure, where cells are executed sequentially from top to bottom. Polynote, on the other hand, allows for non-linear execution by adding cells at any position in the notebook. This enables more flexibility and makes it easier to organize and navigate through the code.
Data Visualization: Jupyter provides rich support for interactive data visualization with libraries like Matplotlib, Seaborn, and Plotly. Polynote, on the contrary, does not have built-in interactive visualization capabilities. However, it can still display static plots using libraries like Matplotlib or Vega-Lite.
Collaboration: Jupyter notebooks promote collaboration by allowing users to share interactive documents online. Users can easily collaborate on a shared notebook by using platforms like GitHub or JupyterHub. Polynote, on the other hand, lacks some of these collaboration features and is more focused on individual user productivity.
Notebook Management: Jupyter notebooks are stored as individual files on the filesystem, making it easy to organize, version control, and share them. Polynote, however, stores notebooks in a single server-based environment, making it more suitable for larger projects with multiple notebooks.
Customization: Jupyter provides extensive customization options by allowing users to install and configure various extensions. These extensions can add functionality like code linting, code formatting, and more. Polynote, on the other hand, has limited customization options and currently does not support extensions.

In summary, Jupyter excels in its language support, collaboration features, and extensive customization options, while Polynote stands out with its polyglot nature, non-linear notebook execution, and notebook management capabilities.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Jupyter	Polynote
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.	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.
-	Code editing; Text editing; Multi-language support; Runtime insight
Statistics
GitHub Stars 12.7K	GitHub Stars 4.6K
GitHub Forks 5.5K	GitHub Forks 393
Stacks 3.4K	Stacks 4
Followers 1.4K	Followers 9
Votes 57	Votes 0
Pros & Cons
Pros 19 In-line code execution using blocks 11 In-line graphing support 8 Can be themed 7 Multiple kernel support 3 Best web-browser IDE for Python	No community feedback yet
Integrations
GitHub scikit-learn Scala Python Dropbox Apache Spark Pandas TensorFlow R Language ggplot2	Python Scala

What are some alternatives to Jupyter, Polynote?

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.

Deepnote

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.

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

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

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.

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.

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.

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.

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.

Mineo

It is the platform to explore your data, develop and deploy your Python supercharged Notebooks and track the quality of your data using Machine learning.

Related Comparisons

Jupyter vs Polynote: What are the differences?

Jupyter and Polynote are both interactive computing environments widely used for data analysis and scientific computing. However, they have some key differences that set them apart from each other.

Language Support: Jupyter primarily supports Python, but it also has support for other programming languages like R and Julia. On the other hand, Polynote is polyglot and designed to provide native support for multiple programming languages, including Python, Scala, and SQL. This makes Polynote more versatile for multi-language data analysis tasks.
Notebook Layout: Jupyter notebooks have a linear structure, where cells are executed sequentially from top to bottom. Polynote, on the other hand, allows for non-linear execution by adding cells at any position in the notebook. This enables more flexibility and makes it easier to organize and navigate through the code.
Data Visualization: Jupyter provides rich support for interactive data visualization with libraries like Matplotlib, Seaborn, and Plotly. Polynote, on the contrary, does not have built-in interactive visualization capabilities. However, it can still display static plots using libraries like Matplotlib or Vega-Lite.
Collaboration: Jupyter notebooks promote collaboration by allowing users to share interactive documents online. Users can easily collaborate on a shared notebook by using platforms like GitHub or JupyterHub. Polynote, on the other hand, lacks some of these collaboration features and is more focused on individual user productivity.
Notebook Management: Jupyter notebooks are stored as individual files on the filesystem, making it easy to organize, version control, and share them. Polynote, however, stores notebooks in a single server-based environment, making it more suitable for larger projects with multiple notebooks.
Customization: Jupyter provides extensive customization options by allowing users to install and configure various extensions. These extensions can add functionality like code linting, code formatting, and more. Polynote, on the other hand, has limited customization options and currently does not support extensions.

Jupyter vs Polynote

Overview