Home Coding & Scripting Jupyter Notebook vs JupyterLab – What’s the Difference?

Jupyter Notebook vs JupyterLab – What’s the Difference?

340
0

If you’re just starting with Python or data science, you’ve probably heard about both Jupyter Notebook and JupyterLab. They sound similar, but they aren’t exactly the same. Let’s break it down in a simple way.


📒 What is Jupyter Notebook?

Jupyter Notebook is the classic interface for writing and running Python code in a browser.

  • It organizes your work into cells (code, markdown, and output).
  • It’s very beginner-friendly, lightweight, and easy to use.
  • Perfect if you just want to test some code, write notes, or follow tutorials.

👉 Think of it like a single-page digital notebook.


🧑‍💻 What is JupyterLab?

JupyterLab is the next-generation interface for Jupyter. It includes everything Jupyter Notebook can do, plus more:

  • Tabbed interface: Open multiple notebooks, terminals, and files side by side.
  • Built-in file browser: No need to switch back and forth between folders.
  • Extensions: Add extra features like Git integration, variable viewers, or dashboards.
  • Flexible layouts: Move panels around, resize them, and work like in an IDE.

👉 Think of it like a full workspace or IDE for Jupyter.


⚖️ Quick Comparison

FeatureJupyter NotebookJupyterLab
InterfaceSimple, single documentAdvanced, multi-tab, customizable
Ease of UseSuper beginner-friendlyBetter for intermediate/advanced users
File ManagementBasic (open one notebook at a time)File browser with drag & drop
ExtensionsLimitedRich ecosystem of extensions
Best ForLearning, small projects, tutorialsLarger projects, research, development

🚀 Which One Should You Use?

  • Start with Jupyter Notebook if you’re completely new. It’s simple, clean, and easy to understand.
  • Switch to JupyterLab once you’re comfortable and want more features, or when working on bigger projects.

💡 Good news: Both can run the same notebooks (.ipynb files), so you can switch anytime without losing work.


⚙️ How to Get Them

  • With Anaconda (easiest for beginners):
    • If you download Anaconda from anaconda.com, you’ll get both Jupyter Notebook and JupyterLab preinstalled.
    • You can launch either one from Anaconda Navigator with a single click.
  • With pip (if you already have Python): pip install notebook # For classic Jupyter Notebook pip install jupyterlab # For JupyterLab

👉 The good news is that both can open the same .ipynb notebook files. You can start with the classic Notebook and move to JupyterLab anytime without losing your work.


✅ Conclusion

Jupyter Notebook is like your first bike—easy to ride and perfect for beginners. JupyterLab is like a car—more powerful, flexible, and better for long journeys. Start simple, and upgrade when you’re ready! 🚴‍♂️➡️🚗

Previous articleGetting Started with Jupyter Notebooks
Next articleGetting Started with JupyterLab
Heartin Kanikathottu
As a seasoned Cloud and Security Architect, I’ve led transformative initiatives in key roles, including Vice President at Morgan Stanley, Principal Architect at Societe Generale, and Tech Lead & Cloud Security Architect at VMware, among others. I’m also an internationally published author with multiple books available on platforms like Amazon and O'Reilly. Notably, one of my books was recognized as the 8th best cloud computing book of all time in 2020, reflecting the impact of my contributions to the field. With over 15 professional certifications from providers such as Microsoft (Azure), Amazon (AWS), Oracle (Java), Pivotal (Spring), and IBM, I bring a wealth of expertise to my work. Academically, I hold dual Master’s degrees in Cloud Computing and Data Analytics. I’m passionate about sharing knowledge and mentoring others, which is why I actively speak at global technical forums such as Tech Opportunities Fest at Platform Calgary, Google's Kubernetes Meetup, Java User Group, Elasticsearch Meetup, and the Agile India Conference.

LEAVE A REPLY

Please enter your comment!
Please enter your name here