Jupyter Notebook Reviews

3 Ratings
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Score 9.8 out of 100

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Anonymous | TrustRadius Reviewer
October 22, 2020

Jupyter or nothing

Score 10 out of 10
Vetted Review
Verified User
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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
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.
I haven't had a need to contact support. However, all required help is out there in public forums.
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Feature Scorecard Summary

Connect to Multiple Data Sources (1)
9
Extend Existing Data Sources (1)
9
Automatic Data Format Detection (1)
9
MDM Integration (1)
7
Visualization (1)
10
Interactive Data Analysis (1)
10
Interactive Data Cleaning and Enrichment (1)
4
Data Transformations (1)
5
Data Encryption (1)
4
Built-in Processors (1)
9
Multiple Model Development Languages and Tools (1)
10
Automated Machine Learning (1)
8
Single platform for multiple model development (1)
8
Flexible Model Publishing Options (1)
8
Security, Governance, and Cost Controls (1)
1

About Jupyter Notebook

Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for Jupyter notebooks, code, and data, with a configurable user interface that supports a wide range of workflows in data science, scientific computing, and machine learning.

Jupyter Notebook Technical Details

Operating Systems: Unspecified
Mobile Application:No