Jupyter Notebook

Jupyter Notebook

Top Rated
About TrustRadius Scoring
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 …
Continue reading

Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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

View all pros & cons

Video Reviews

Leaving a video review helps other professionals like you evaluate products. Be the first one in your network to record a review of Jupyter Notebook, and make your voice heard!

Pricing

View all pricing
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
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?

7 people want pricing too

Alternatives Pricing

What is Anaconda?

Anaconda is an open source Python distribution / data discovery & analytics platform.

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

View all alternatives

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)
Companies can't remove reviews or game the system. Here's why
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Shailesh Pandey | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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 recommend it the most. It comes with the code sharing feature which i use when I get stuck somewhere or having some bug or needed any advice from the team lead.
October 24, 2021

A Notebook for All

Score 10 out of 10
Vetted Review
Verified User
Review Source
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 presenting a Proof of Concept to the client, to deploying it on the cloud, teaching new hires about their role, and explaining things to my team. Development is also super easy on Jupyter Notebook with its interactive environment where one can keep codes, comment, and plot images together on a single platform. It's readable and flexible. You can have host server-side also which is great and allows you to access your Notebook from anywhere around the globe. In my organization, Jupyter Notebook is used a lot for various reasons. It's presentable, powerful (not as powerful as IDE though but it has its own purpose), flexible, and most importantly its open source. [For] several years since the boom of Data Scientist fields Jupyter Notebook [has been] getting more and more popular among those who analyze data. I highly recommend Jupyter Notebook because it will make your life's work easy and fun, whether you are a manager who creates presentations for the clients, an engineer who develops code, or a Data Scientist/Analyst, Jupyter Notebook covers all.
Shivam Rai | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Aditya Kumar | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Python is the new technology that is being deployed across organisation for data science. For every language, one must use a user friendly IDE that makes the code more streamlined, easy to understand and with added built in functionalities. Jupyter Notebook takes care of all these and adds a lot of value to the data science projects.
Lindsay Veazey | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
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 helpful for visually cueing transitions and reorienting the user to the pattern of the workflow outlined in the notebook. It also makes it easier to replicate the workflow for other projects.
Ejaz Hussain | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Hemant Jajoo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
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.
Deepak Chhipa | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
As an organization, we are using Python for solving manual task creation by automatically doing this task. So for this we use the RPA technology, but for that we have to scrape the data from the PDF. So we use the Python library from which we read the data which in the form of image then create the CSV table by using the library.
Score 8 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook is used widely within our data science groups as a way to experiment with ML and other models. It's great for early stage data analysis as well as for training and sharing of new Python models within the group in a clear way. The interface is easy to use and onboard onto and has been a great way for members to easily share and onboard new associates onto their existing Python analysis scripts.
Score 9 out of 10
Vetted Review
Verified User
Review Source
We are using Jupyter Notebook for data visualization of JSON and excel data for a banking customer. We are running multiple python scripts on Jupyter Notebook for in-depth data analysis to develop machine learning models.
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Arpit Ranka | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook was first used by me for a project for my Big Data Class to handle data in csv, excel, json, etc. I used python and a lot of flexible libraries in it to do data analysis on our banking information like documents, statements, reports etc. and draw visualizations on it.
Score 9 out of 10
Vetted Review
Verified User
Review Source
We currently use Juptyer Notebooks across our organization. Jupyter Notebooks are our go-to experimenting environments for data pre-processing, creation, training and evaluation of machine learning and deep learning models. We also heavily use Jupyter for data visualization and exploratory data analysis. It also provides a great interactive interface which can be used for story telling to our clients and consumers.
Irene Rodríguez Alegre | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook is an amazing way to see the code work and plots displayed in an awesome in-line perspective. We really enjoy it especially when plotting data analysis and comparisons. It is used by many of us at my department.
Score 8 out of 10
Vetted Review
Verified User
Review Source
Jupyter Notebook is being used currently at my organization to handle data in any of the forms including csv, excel, json, etc. We use python and a lot of flexible libraries in it to do data analysis on our banking information like documents, statements, reports etc. and draw visualizations on it.
Score 7 out of 10
Vetted Review
Verified User
Review Source
I use Jupyter Notebook to run statistical analysis and develop machine learning models and deploy in production. Jupyter Notebook is widely adopted by data scientists in our organization. It's well integrated with our remote cloud desktop as well as production system. We use Jupyter Notebook to understand customer behaviors and how to improve customer experience.
October 22, 2020

Jupyter or nothing

Score 10 out of 10
Vetted Review
Verified User
Review Source
I started using Jupyter to solve my everyday problems and to do things faster. I'm aware that there a few users already across the organization. I have been recommended to use it and I have also recommended this fantastic tool. With Jupyter, it's really easy to break the problem into small pieces and develop larger, more productive code. It's also easy to enhance without breaking the remaining part of code. I develop working code as and when time permits, integrate with different tools (through API, DB calls, etc), and even plot beautiful graphs all in one notebook. The best thing is that the results are saved when I reopen the notebook.