Jupyter or nothing
October 22, 2020

Jupyter or nothing

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Jupyter Notebook

I started using Jupyter to solve my everyday problems and to do things faster. I'm aware that there a few users already across the organization. I have been recommended to use it and I have also recommended this fantastic tool. With Jupyter, it's really easy to break the problem into small pieces and develop larger, more productive code. It's also easy to enhance without breaking the remaining part of code. I develop working code as and when time permits, integrate with different tools (through API, DB calls, etc), and even plot beautiful graphs all in one notebook. The best thing is that the results are saved when I reopen the notebook.
  • Saves the results until next time the notebook is reopened
  • Provides so many libraries
  • Allows to code on multiple platforms
  • Automatically creates checkpoints
  • Really lightweight
  • Would like to see syntax errors highlighted while coding
  • PDF integration should get better to print notebook results
  • Saves Time
  • Easy to develop
  • Very easy to setup and adapt
When I tried Zeppelin in 2017, it was still in initial versions, Jupyter was way ahead as of then. Zeppelin had limitations and I wasn't confident of it making progress as much as Jupyter.
I haven't had a need to contact support. However, all required help is out there in public forums.
Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

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


Are you happy with Jupyter Notebook's feature set?


Did Jupyter Notebook live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Jupyter Notebook go as expected?

I wasn't involved with the implementation phase

Would you buy Jupyter Notebook again?


Juypter suits developers the most, who want to write small pieces of code and create larger modules. Jupyter is also suited when creating smaller integration scenarios. Jupyter enables creating neat graphical charts for analysts very quickly. It is particularly easy to create and share notebooks to who so ever. For Enterprise-grade scenarios and large scale implementations, Jupyter may not be the best fit.

Jupyter Notebook Feature Ratings

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