Jupyter "THE ATTRACTIVE" Notebook
October 08, 2021

Jupyter "THE ATTRACTIVE" Notebook

Shivam Rai | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Jupyter Notebook

Jupyter Notebook is one of the most important applications for my personal use and for the organization purpose also. It helps to develop open source software and for interactive computing across different programing languages. I'm using this since my college time, it supports Julia, Python and R. It allow us to create and share documents that contains live code and graphs.
  • We can use it as a notebook and share the slide and also publish it online through GitHub.
  • Attractive programming environment.
  • Easy navigation platform.
  • Should work on Configuration setup, it takes a lot of time.
  • Work on code styling correction, sometimes it makes a major difference.
  • There is no IDE integration.
  • Should include more programming language.
  • Auto Code(syntax) Suggestion.
  • Sharing slide and live code directly on github.
  • It gives best use of mathematical notations.
  • Programming Environment.
  • Open Source.
  • Attractive and easy for coding.
  • Data visualization and sharing live code is one of the best feature.
  • Easy to learn for new developers.
Jupyter Notebook is very attractive platform for new developers to code and to learn programming and perform tasks as compared to other IDE. It has very well and easy visualization, interactive programming and sharing the live code and slideshow is very easy as compare to others. online

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

Jupyter Notebook Feature Ratings

Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
10
MDM Integration
9
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
10
Data Transformations
9
Data Encryption
10
Built-in Processors
9
Multiple Model Development Languages and Tools
9
Automated Machine Learning
10
Single platform for multiple model development
10
Self-Service Model Delivery
9
Flexible Model Publishing Options
10
Security, Governance, and Cost Controls
10