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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Alternatives Pricing

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What is Azure Machine Learning?

Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.

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

(1-20 of 20)
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Score 7 out of 10
Vetted Review
Verified User
Review Source
Jupyter is very easy to understand and easy to use. And can also be used by a student, freelancer, small industries, big industries. Jupyter also provides you a tool to work with machine learning and artificial intelligence.
Shivam Rai | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook is very attractive platform for new developers to code and to learn programming and perform tasks as compared to other IDE. It has very well and easy visualization, interactive programming and sharing the live code and slideshow is very easy as compare to others. online
Aditya Kumar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook has a very clean UI, although PyCharm has some advanced features like auto style correction but it's way too complicated for a beginner to navigate. In terms of presentation and visualisation also Jupyter Notebook is way ahead of its competitors. In total if you are a beginner or intermediate user to the data science field Jupyter is the one to go.
Lindsay Veazey | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook is unique in that it offers a flexible, lightweight, easy-to-replicate way of organizing your code in a visually intuitive fashion that can be exported in a number of formats. I've found that the broad functionalities available within the notebooks suit a lot of needs I have for EDA, modeling, and data export that makes other software products fairly redundant.
Ejaz Hussain | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Well, so far Jupyter Notebook has been the better tool for me. It gives us more freedom & has more ability to train ML models & do the data visualization more efficiently. It's easier to operate & has a very simple-to-understand UI & with the support for taking data from multiple sources, it becomes even more powerful.
Score 9 out of 10
Vetted Review
Verified User
Review Source
I have used PyCharm as well as Jupyter Notebook and for me, Jupyter wins almost every time. I really like its user-friend interface for someone who is new to python programming. The ability to run a big chunk of code part by part is a big game-changer for me. One thing I would like is a night mode just like PyCharm as it helps the night owls like myself who work a big part during the night. I also like how Anaconda command prompt helps you download a library and just a simple import statement in the notebook helps you extract every functionality.
Hemant Jajoo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
It should have cleaner support for multi-environment setup and should also increase the amount of features. Moreover, more support should be present for other programming languages. It should also have the option to set a specific location that opens up whenever I run command despite the need of me going to that location.
Deepak Chhipa | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
PyCharm is also a suitable software for this similar functionality. But I consider Jupyter Notebook as the best [of] all time. It is more effective and provide[s] the best functionality for data visualization and it will provide the modelling and code editing. There is multi language support for the different languages also.
Score 8 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook has a nicer interface than RStudio in our opinion and since most of our group is familiar with Jupyter Notebook it has made it a default choice. Overall the interactive programming as well as the easy visualizations, model deployment, and markdown made Jupyter Notebook a good choice although some people do still use RStudio for specific projects. Jupyter Notebook is a bit nicer as a communication tool so it has become a preferred method of sharing and getting feedback on early stage data analysis and modeling.
Score 10 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook is the core feature extended on by many commercial alternatives. The commercial alternatives have more feature integration with the rest of their portfolio. RStudio is another competitor for interactive and literate programming.

We deploy both Jupyter and RStudio in our organization. We use commercial platforms when we need specific features.
Score 9 out of 10
Vetted Review
Verified User
Review Source
An interesting thing is that Jupyter Notebook is run on browser environments which may or may not be a positive feature according to cases. VS Code on [the] other hand doesn't use any interface and can run Jupyter Notebooks too. Sometimes my browser consumes too much RAM due to which I shifted to VS Code for development purposes.
Score 8 out of 10
Vetted Review
Verified User
Review Source
With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
October 22, 2020

Jupyter or nothing

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