Jupyter Notebook is the leading open source tool for interactive and literate coding
May 01, 2021

Jupyter Notebook is the leading open source tool for interactive and literate coding

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

Overall Satisfaction with Jupyter Notebook

Jupyter Notebook is used for interactive and literate programming for Python and R. It is deployed server side, and it is used across the organization to allow users to code through their web browser. It gives users access to Python and R programming, without needing the users to maintain it.
  • Literate programming
  • Interactive programming
  • Server side deployment supporting many users to code via web browser.
  • Lacks some features like autoindent code.
  • Too many different instructions for deployment.
  • Could have better environment isolation.
  • Open source
  • Large supporting ecosystem
  • User access through web browser
  • Leading industry tool
  • Allows user easy access to coding.
  • Centralized support on server.
  • Allows interactive and literate coding.
Jupyter Notebook is the core feature extended on by many commercial alternatives. The commercial alternatives have more feature integration with the rest of their portfolio. RStudio is another competitor for interactive and literate programming.

We deploy both Jupyter and RStudio in our organization. We use commercial platforms when we need specific features.

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 is great for interactive and literate coding. This is great for data analysis type of tasks. For more programmatic coding, you still need an IDE.
Jupyter allows multi-users to access the same environments. Additional environments can be installed via Conda, but this can be complicated.
Jupyter can be deployed via Kubernetes for example to allow virtualized environments for each user.

Jupyter Notebook Feature Ratings

Connect to Multiple Data Sources
10
Visualization
10
Interactive Data Analysis
6
Data Transformations
10
Multiple Model Development Languages and Tools
10
Single platform for multiple model development
10
Self-Service Model Delivery
10
Flexible Model Publishing Options
10