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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 ...
Continue reading
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

View all reviews
(1-5 of 23)

Innovative & easy-to-use tool for ML & data visualization

Rating: 9 out of 10
Incentivized
June 14, 2021
Use Cases and Deployment Scope
Almost every large-scale enterprise today has started to have in-house ML models & my organization is no different. We have been making use of this wonderful tool for Data visualization purposes, consuming python libraries to get some insights from the larger datasets from different data sources. Also, we use it to train our ML models to make predictions & then use that to further fine-tune the models efficiently.
Pros
  • User-friendly UI.
  • Easy to debug at each code line.
  • Great support for Python Math libraries.
  • Advanced data visualization capabilities.
  • Notebook sharing feature.
Cons
  • Intellisense not up to the mark.
  • Limited collaboration scope.
  • No IDE integration supported.
  • Can become sluggish at times when datasets are huge.
Likelihood to Recommend
Jupyter Notebook is well suited for someone who's trying to learn python programming with the aim of training the ML models & get some really insightful analysis out of it. It really is a very user-friendly tool for any beginner as they can check the output on any of the written code without having to wait for the whole code to be finished.

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 makes life easier.

Rating: 8 out of 10
Incentivized
May 13, 2021
AJ
Ayushi Jain
Technical Specialist
Skill Up (E-Learning, 51-200 employees)
Vetted Review
Verified User
Jupyter Notebook
2 years of experience
Use Cases and Deployment Scope
We are an E-learning company. We use Jupyter Notebook in our lab's virtual environment.
Pros
  • Its one by one cell execution.
  • It is user friendly and easy to work on.
  • Only installing Anaconda can bring us to use this Jupyter Notebook easily.
  • Freely available.
Cons
  • Sometimes we face issues in executing the code because Jupyter Notebook hangs.
  • Auto save option is not there which sometimes creates issues in saving your work.
Likelihood to Recommend
It is well suited everywhere. In web development one cannot use Jupyter Notebook.

Python programming made easy with Jupyter!

Rating: 9 out of 10
Incentivized
June 01, 2021
RV
Rounak Verma
Data Analyst
Raymour and Flanigan (Retail, 1001-5000 employees)
Vetted Review
Verified User
Jupyter Notebook
3 years of experience
Use Cases and Deployment Scope
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 code to forecast sales. Jupyter gave me the flexibility of writing code in a line-by-line manner and help me see the output at each step.
Pros
  • Simple and elegant code writing ability. Easier to understand the code that way.
  • The ability to see the output after each step.
  • The ability to use ton of library functions in Python.
  • Easy-user friendly interface.
Cons
  • The ability to use night mode background.
  • The ability to select multiple lines of code to run and see the output.
  • The ability to open .py extension file as well along with .ipynb
Likelihood to Recommend
I would rate it 9/10 while recommending Jupyter Notebook as it offers me a wide range of functionality to operate. It is very well suited for someone who is new to python programming as the user interface helps you build code line by line. I personally have written multiple programs in Python using Jupyter Notebook as it helps me organize long code by breaking it in a structure. Also the ability to write comments using '#' helps a lot to a reader understand the code.

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.
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