Jupyter Notebook

Jupyter Notebook

Top Rated
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Score 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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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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Video Reviews

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Pricing

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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

Reviews

(1-24 of 24)
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Score 7 out of 10
Vetted Review
Verified User
Review Source
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.
Shailesh Pandey | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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

Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Aditya Kumar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
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

Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Lindsay Veazey | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Ejaz Hussain | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Hemant Jajoo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Deepak Chhipa | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
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.
Score 8 out of 10
Vetted Review
Verified User
Review Source
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.
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Score 8 out of 10
Vetted Review
Verified User
Review Source
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.
Score 7 out of 10
Vetted Review
Verified User
Review Source
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

Score 10 out of 10
Vetted Review
Verified User
Review Source
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.