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Jupyter Notebook

Jupyter Notebook

Overview

What is 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…

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Learn from top reviewers

Jupyter Notebook User Review

Rating: 10 out of 10
December 31, 2024
IncentivizedVetted ReviewVerified User
We usually write python code in it as its interface is simple and easy to use. To reduce time and to automate daily task we started using python and to write code we searched ...
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Verified user
Analyst
Jupyter Notebook3 years of experience

Feedback - Jupyter Notebook

Rating: 10 out of 10
November 29, 2021
Vetted ReviewVerified User
I do all my python projects with it every day and the amount of convenience it provides is unmatchable. It's interface is very easy and self expressive which is why I recommen...
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Shailesh Pandey
Technician - Other
Laboratory Technician
Regency Healthcare - Kanpur
Jupyter Notebook1 year of experience

Jupyter Pros and Cons

Rating: 10 out of 10
September 27, 2021
IncentivizedVetted ReviewVerified User
Jupyter notebooks are widely used by our Science and Analytics departments to analyze data, make forecasts, clean/wrangle data, graph visualizations, create machine learning m...
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Rita Lo
Analyst - Corporate
Lyft Inc.
Jupyter Notebook5 years of experience

Flexible, lightweight, and visually intuitive organization of your workflows

Rating: 10 out of 10
July 20, 2021
IncentivizedVetted ReviewVerified User
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 helpf...
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Lindsay Veazey
Engineer - Engineering
Senior Data Scientist
Very
Jupyter Notebook5 years of experience

Python programming made easy with Jupyter!

Rating: 9 out of 10
June 1, 2021
IncentivizedVetted ReviewVerified User
Jupyter Notebook is a really dynamic tool, currently used by the Engineering team at my company. The main focus of using it is to incorporate python programming while writing ...
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Rounak Verma
Employee - Engineering
Data Analyst
Raymour and Flanigan
Jupyter Notebook3 years of experience
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Pricing

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Jupyter Notebook

Jupyter Notebook

N/A
Unavailable

What is 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…

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.trustradius.com/buyer…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

H2O TensorFlow Deep Learning Demo

YouTube

EXPORT JUPYTER to EXCEL | nb2xls | Demo & My Thoughts | Jupyter Notebook to Excel Spreadsheet

YouTube

Jupyter Notebook using Docker for Data Science (Demo)

YouTube

Lecture 11, Python Demo for Distribution

YouTube
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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

9
Avg 8.4

Data Exploration

Ability to explore data and develop insights

7
Avg 8.4

Data Preparation

Ability to prepare data for analysis

9.5
Avg 8.2

Platform Data Modeling

Building predictive data models

9.3
Avg 8.5

Model Deployment

Tools for deploying models into production

10
Avg 8.6
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Product Details

What is Jupyter Notebook?

Jupyter Notebook Video

How to install and use Jupyter Notebooks, a step by step tutorial. Learn to when to use Jupyter Notebooks, and how to write and run code and markdown.

Jupyter Notebook Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

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.

Reviewers rate Connect to Multiple Data Sources and Extend Existing Data Sources and Interactive Data Cleaning and Enrichment highest, with a score of 10.

The most common users of Jupyter Notebook are from Enterprises (1,001+ employees).
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Comparisons

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Reviews From Top Reviewers

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(1-1 of 1)

Jupyter or nothing

Rating: 10 out of 10
Incentivized
October 22, 2020
Verified User
Program Manager in Information Technology
Information Technology & Services Company, 10,001+ employees
Vetted Review
Verified User
Jupyter Notebook
3 years of experience
Use Cases and Deployment Scope
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.
Pros
  • 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
Cons
  • Would like to see syntax errors highlighted while coding
  • PDF integration should get better to print notebook results
Likelihood to Recommend
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
Platform Connectivity (4)
85%
8.5
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
90%
9.0
Automatic Data Format Detection
90%
9.0
MDM Integration
70%
7.0
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (4)
55%
5.5
Interactive Data Cleaning and Enrichment
40%
4.0
Data Transformations
50%
5.0
Data Encryption
40%
4.0
Built-in Processors
90%
9.0
Platform Data Modeling (3)
86.66666666666666%
8.7
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
80%
8.0
Single platform for multiple model development
80%
8.0
Model Deployment (2)
45%
4.5
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
10%
1.0
Return on Investment
  • Saves Time
  • Easy to develop
  • Very easy to setup and adapt
Alternatives Considered
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.
Support Rating
9
I haven't had a need to contact support. However, all required help is out there in public forums.
Usability
10
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.
Other Software Used
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