Skip to main content
TrustRadius
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…

Read more

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 ...
Continue reading
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...
Continue reading
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...
Continue reading
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...
Continue reading
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 ...
Continue reading
Rounak Verma
Employee - Engineering
Data Analyst
Raymour and Flanigan
Jupyter Notebook3 years of experience
Log in with LinkedIn to see content from your network
Return to navigation

Pricing

View all pricing
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

Would you like us to let the vendor know that you want pricing?

39 people also want pricing

Alternatives Pricing

Spotfire

Spotfire

$0.99
Per Hour (Starting)
What is Spotfire?

Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.

Rational BI

Rational BI

Free
What is Rational BI?

Rational BI provides analytics, data science and business intelligence in an analytical platform that connects to databases, data files and cloud drives including AWS and Azure data sources, enabling users to explore and visualize data. Users can build real-time notebook-style reports directly in a…

Return to navigation

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
Return to navigation

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 8.3

Data Preparation

Ability to prepare data for analysis

9.5
Avg 8.2

Platform Data Modeling

Building predictive data models

9.3
Avg 8.4

Model Deployment

Tools for deploying models into production

10
Avg 8.5
Return to navigation

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).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews From Top Reviewers

View all reviews
(1-5 of 22)

Jupyter Notebook: A boon to present codes

Rating: 9 out of 10
Incentivized
December 16, 2021
Verified User
Team Lead in Engineering
Computer Software Company, 1001-5000 employees
Vetted Review
Verified User
Jupyter Notebook
5 years of experience
Use Cases and Deployment Scope
Jupyter Notebook is the most friendly software for testing and running python codes of all types. Its simple to illustrate and visualise and test a code line by line. Also if not downloaded you can still use it as a google collab notebook. Its easy and simple to use for data models, statistical visualisation and machine learning programs. I have been using it constantly in my research works.
Pros
  • Coding and error correction line by line
  • Simple and Effectiveness
  • Easy to use for visualisation and presentation of code
  • Could be used at any place any time without hassle
Cons
  • could have some standard python libraries imported already
  • compiled images and results should be alterable in size
  • compiler runtime
Likelihood to Recommend
Best for presentation of codes and results. However needs some standard libaries such as numpy, pandas, etc to be already imported.

Easy to maintain modularity and write clean and efficient code

Rating: 9 out of 10
Incentivized
May 29, 2021
HJ
Hemant Jajoo
Machine Learning Intern
WedVyah (Entertainment, 1-10 employees)
Vetted Review
Verified User
Jupyter Notebook
3 years of experience
View profile
Use Cases and Deployment Scope
It is used mostly by our Python and R programmers for programming. It is very interactive and easy to manage the programs and present them. Coding in it is very easy and we can also easily debug. We can do many things--change the cell types, use shortcuts, and if stuck somewhere restart the kernel.
Pros
  • Interactive
  • Efficient
  • Quick
Cons
  • More languages support
  • Enhanced GPU support
  • Multi-environment support
Likelihood to Recommend
If you want to develop a project in Python or R then Jupyter Notebook is the perfect idle that you should use. It is easy to maintain modularity and write clean and efficient code. We can also use it for connecting to various databases like MongoDB from our Python script.

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

Rating: 10 out of 10
Incentivized
May 01, 2021
Verified User
Professional in Research & Development
Research Company, 5001-10,000 employees
Vetted Review
Verified User
Jupyter Notebook
4 years of experience
Use Cases and Deployment Scope
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.
Pros
  • Literate programming
  • Interactive programming
  • Server side deployment supporting many users to code via web browser.
Cons
  • Lacks some features like autoindent code.
  • Too many different instructions for deployment.
  • Could have better environment isolation.
Likelihood to Recommend
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 Pros and Cons

Rating: 10 out of 10
Incentivized
September 27, 2021
RL
Rita Lo
Analyst in Corporate
Lyft Inc. (Internet, 1001-5000 employees)
Vetted Review
Verified User
Jupyter Notebook
5 years of experience
Use Cases and Deployment Scope
Jupyter notebooks are widely used by our Science and Analytics departments to analyze data, make forecasts, clean/wrangle data, graph visualizations, create machine learning models, and perform a suite of analyses to best understand our business landscape.
Pros
  • Sharing/showcasing work in a step by step manner
  • Exploratory data analysis/viewing code in-line
  • Data exploration/visualization
  • Switch between different coding languages
Cons
  • No IDE integration/linting
  • No testing integrations
  • Difficult to view changes in GitHub
  • Notebook harder to productionize than scripts
Likelihood to Recommend
Jupyter notebooks are great for data science, especially if you want to clean and transform data, and explore outcomes/visualize/model in real-time. Once you have a successful logic built out, though, it's best to move the code away from a notebook for production.

Jupyter "THE ATTRACTIVE" Notebook

Rating: 10 out of 10
October 08, 2021
SR
Shivam Rai
Senior Implementation Services Assistant
Mercer (Hospital & Health Care, 5001-10,000 employees)
Vetted Review
Verified User
Jupyter Notebook
3 years of experience
View profile
Use Cases and Deployment Scope
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.
Pros
  • We can use it as a notebook and share the slide and also publish it online through GitHub.
  • Attractive programming environment.
  • Easy navigation platform.
Cons
  • 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.
Likelihood to Recommend
Return to navigation