Jupyter Notebook

Jupyter Notebook

Top Rated
About TrustRadius ScoringScore 8.8 out of 100
Top Rated
Jupyter Notebook

Overview

Recent Reviews

A Notebook for All

10 out of 10
October 24, 2021
Jupyter Notebook is a coffee to me, a daily dose of it makes my day. I have been using Jupyter Notebook for various purposes from …
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Verified User
Engineer

Awards

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Popular Features

View all 16 features

Visualization (23)

9.3
93%

Interactive Data Analysis (23)

9.1
91%

Data Transformations (23)

8.7
87%

Connect to Multiple Data Sources (23)

8.5
85%

Reviewer Pros & Cons

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Verified User
Engineer in Information Technology
Information Technology & Services Company, 51-200 employees
Verified User
Team Lead in Engineering
Computer Software Company, 1001-5000 employees

Video Reviews

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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 learning.…

Entry-level set up fee?

  • No setup fee
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Offerings

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

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Features Scorecard

Platform Connectivity

8.3
83%

Data Exploration

9.2
92%

Data Preparation

8.6
86%

Platform Data Modeling

8.7
87%

Model Deployment

8.6
86%

Product Details

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 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 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

Comparisons

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Frequently Asked Questions

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 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.

What is Jupyter Notebook's best feature?

Reviewers rate Visualization highest, with a score of 9.3.

Who uses Jupyter Notebook?

The most common users of Jupyter Notebook are from Enterprises (1,001+ employees) and the Information Technology & Services industry.

Reviews and Ratings

 (102)

Ratings

Usability (1)

10.0
100%

Support Rating (1)

9.0
90%

Reviews

(1-24 of 24)
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April 29, 2022

Jupyter feels like you are on moon

Verified User
Engineer in Information Technology
Information Technology & Services Company, 51-200 employees
Score 7 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

If I want test some code quickly then I just open up Jupyter Notebook because by using it I can run and check if my code runs correctly or not at every step. I can easily check if the conditions specified are working as expected or not within a matter of time.
November 29, 2021

Feedback - Jupyter Notebook

Shailesh Pandey | TrustRadius Reviewer
Shailesh Pandey
Laboratory Technician
Regency Healthcare - Kanpur (Hospital & Health Care, 1001-5000 employees)
Score 10 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

Many data science tutors use Jupyter Notebook to teach their students. It's an open source software with markdown to explain codes and code segments to make it more clean, error free and self explanatory. It is best IDE for the data science and python programming beginners because of it's interface and code segments where one can run their codes separately.
October 24, 2021

A Notebook for All

Verified User
Engineer in Research & Development
Information Technology & Services Company, 5001-10,000 employees
Score 10 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

Jupyter Notebook is well suited for presentations, creating codes snippets, or analyzing big pieces of code in small chunks. It's highly recommended for [a] data analysis job in which one can plot the interactive and Live figures or graphs. Not recommended for [the] full development of [a] project without an IDE but only creating part of it which can help a lot for developing big projects.
October 07, 2021

Data science made easier through Jupyter

Aditya Kumar | TrustRadius Reviewer
Aditya Kumar
Program Associate
Wells Fargo (Banking, 10,001+ employees)
Score 9 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

Jupyter Notebook is the best IDE to use if you are feeling started with the data science. You will notice a lot of tutors use Jupyter Notebook to present their code, the markdown make the code more presentable and can be exported to present. But in case you have to do heavy tasking then it's not advisable to use Jupyter Notebook.
September 27, 2021

Jupyter Pros and Cons

RL
Rita Lo
Analyst in Corporate
Lyft Inc. (Internet, 1001-5000 employees)
Score 10 out of 10
Vetted Review
Verified User
Review Source

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.
July 20, 2021

Flexible, lightweight, and visually intuitive organization of your workflows

Lindsay Veazey | TrustRadius Reviewer
Lindsay Veazey
Senior Data Scientist
Very (Computer Software, 201-500 employees)
Score 10 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.
June 14, 2021

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

Ejaz Hussain | TrustRadius Reviewer
Ejaz Hussain
Senior Analyst
Virtusa (Information Technology & Services, 10,001+ employees)
Score 9 out of 10
Vetted Review
Verified User
Review Source

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.
June 01, 2021

Python programming made easy with Jupyter!

RV
Rounak Verma
Data Analyst
Raymour and Flanigan (Retail, 1001-5000 employees)
Score 9 out of 10
Vetted Review
Verified User
Review Source

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.
May 29, 2021

Easy to maintain modularity and write clean and efficient code

Hemant Jajoo | TrustRadius Reviewer
Hemant Jajoo
Machine Learning Intern
WedVyah (Entertainment, 1-10 employees)
Score 9 out of 10
Vetted Review
Verified User
Review Source

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.
May 24, 2021

Review of the Jupyter Notebook

Deepak Chhipa | TrustRadius Reviewer
Deepak Chhipa
Founder and CEO
WedVyah (Events Services, 1-10 employees)
Score 8 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

I recommend Jupyter Notebook to all [that] are just starting their programming journey and don't want to waste their computer resources. This tool also helps in data visualization, so if you are enthusiastic for the data things then Jupyter Notebook is also a great tool for [you]. Overall, it is a great tool to start the journey.
May 13, 2021

Jupyter Notebook - A solid choice for early stage data analysis!

Verified User
Engineer in Research & Development
Biotechnology Company, 10,001+ employees
Score 8 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

Well suited to exploratory or initial phase data analysis where you want to quickly and interactively explore different models and be able to communicate it easily to either other team members or even external partners without much hassle. Less appropriate for large scale deployments or production level software engineering.
May 01, 2021

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

Verified User
Professional in Research & Development
Research Company, 5001-10,000 employees
Score 10 out of 10
Vetted Review
Verified User
Review Source

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.
May 01, 2021

All in one workspace for Data Sciences

Verified User
Employee in Information Technology
Information Technology & Services Company, 1-10 employees
Score 9 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

If you want to do exploratory data analysis, ML and DL model training, and evaluation with data pre-processing then Jupyter Notebook is the best. It has a good community support as well. If you want to develop Python API or scripting or backend development, other open source code editors are a better fit.
April 07, 2021

Jupyter Notebook - For a better data analysis and visualizations

RK
Rahul Kapoor
Software Engineer
Fidelity Information Services (Financial Services, 5001-10,000 employees)
Score 8 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

Jupyter Notebook is well suited if you want to do exploratory data analysis, draw observations and visualizations from it. Based on your analysis and visualization it can help you make better business decisions.
It is less appropriate for any kind of python development as I have mainly used it for documentation, data handling, cleaning or visualizations.
January 26, 2021

Light user of Jupyter Notebook

YX
Yaxian Xie
BIE
Amazon (Retail, 10,001+ employees)
Score 7 out of 10
Vetted Review
Verified User
Review Source

Likelihood to Recommend

I think Jupyter Notebook is well suited for scenarios below:
1) analyze big data above millions of records
2) develop machine learning codes that can be deployed in production system

I think Jupyter Notebook is less appropriate for scenarios below:
1) quick and easy statistical analysis
2) entry level users
October 22, 2020

Jupyter or nothing

Verified User
Program Manager in Information Technology
Information Technology & Services Company, 10,001+ employees
Score 10 out of 10
Vetted Review
Verified User
Review Source

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.