Flexible, lightweight, and visually intuitive organization of your workflows
July 20, 2021

Flexible, lightweight, and visually intuitive organization of your workflows

Lindsay Veazey | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Jupyter Notebook

I use Jupiter Notebook to organize my workflows into manageable and readable chunks. The ability to streamline my work using markdown descriptions and title is extremely helpful for visually cueing transitions and reorienting the user to the pattern of the workflow outlined in the notebook. It also makes it easier to replicate the workflow for other projects.

Pros

  • Visually intuitive organization of code.
  • Static (but changeable) display of function outputs.
  • Easy replication of notebooks or into new notebooks, or into PDFs.

Cons

  • I'd like to see bookmarks made available for easier scrolling through long notebooks.
  • A dark mode option would be helpful, too.
  • I wish that the display of graphics would be a little bit more customizable as a native function of Jupyter.
  • Lightweight installation
  • Flexibility with different software languages
  • Straightforward duplication for adaptation
  • Positive impact: flexible implementation on any OS, for many common software languages
  • Positive impact: straightforward duplication for adaptation of workflows for other projects
  • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
Jupyter Notebook is unique in that it offers a flexible, lightweight, easy-to-replicate way of organizing your code in a visually intuitive fashion that can be exported in a number of formats. I've found that the broad functionalities available within the notebooks suit a lot of needs I have for EDA, modeling, and data export that makes other software products fairly redundant.

Do you think Jupyter Notebook delivers good value for the price?

Yes

Are you happy with Jupyter Notebook's feature set?

Yes

Did Jupyter Notebook live up to sales and marketing promises?

Yes

Did implementation of Jupyter Notebook go as expected?

Yes

Would you buy Jupyter Notebook again?

Yes

I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.

Jupyter Notebook Feature Ratings

10.0
Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
10
MDM Integration
10
8.0
Visualization
8
Interactive Data Analysis
8
8.7
Interactive Data Cleaning and Enrichment
8
Data Transformations
10
Data Encryption
Not Rated
Built-in Processors
8
10.0
Multiple Model Development Languages and Tools
10
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
10.0
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
10

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