Jupyterlab vs Jupyter

Struggling to choose between Jupyterlab and Jupyter? Both products offer unique advantages, making it a tough decision.

Jupyterlab is a Development solution with tags like jupyter, notebook, python, data-science.

It boasts features such as Notebook editor, Code console, Text editor, Terminal access, Data viewer, Notebook cell tagging, Code auto-completion, Visual debugger, Version control integration and pros including Flexible and extensible interface, Support for multiple languages, Powerful interactive computing, Open source and free, Great for data analysis and visualization, Collaboration friendly.

On the other hand, Jupyter is a Development product tagged with python, data-science, machine-learning, visualization, reproducible-research.

Its standout features include Interactive notebooks, Supports over 40 programming languages, Ability to visualize data, Share and collaborate on documents, and it shines with pros like Open source and free, Great for data analysis and visualization, Promotes collaborative work, Easy to get started.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Jupyterlab

Jupyterlab

JupyterLab is an open-source web-based interactive development environment for notebooks, code, and data. It is the next-generation user interface for Project Jupyter. JupyterLab enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in a flexible, integrated, and extensible manner.

Categories:
Development Notebook Environments
jupyter notebook python data-science

Jupyterlab Features

  1. Notebook editor
  2. Code console
  3. Text editor
  4. Terminal access
  5. Data viewer
  6. Notebook cell tagging
  7. Code auto-completion
  8. Visual debugger
  9. Version control integration

Pricing

  • Open Source
  • Free

Pros

Flexible and extensible interface

Support for multiple languages

Powerful interactive computing

Open source and free

Great for data analysis and visualization

Collaboration friendly

Cons

Steep learning curve

Can be resource intensive

Not as stable as standalone IDEs

Limited GUI customization

No native database connectivity

Jupyter

Jupyter

Jupyter is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. It supports over 40 programming languages.

Categories:
Development Notebook Environments
python data-science machine-learning visualization reproducible-research

Jupyter Features

  1. Interactive notebooks
  2. Supports over 40 programming languages
  3. Ability to visualize data
  4. Share and collaborate on documents

Pricing

  • Open Source

Pros

Open source and free

Great for data analysis and visualization

Promotes collaborative work

Easy to get started

Cons

Can be slow with large datasets

Notebooks can be disorganized

Steep learning curve for some advanced features