TrustRadius Insights
Jupyter Notebook has found a wide range of use cases across various industries and roles. Data analysts, scientists, and engineers have …
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…
Recent Reviews
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
- Interactive Data Analysis (21)9.696%
- Visualization (21)9.696%
- Connect to Multiple Data Sources (21)9.090%
- Data Transformations (21)8.989%
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…
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?
30 people also want pricing
Alternatives Pricing
What is Rational BI?
Rational BI provides analytics, data science and business intelligence in an analytical platform that connects to databases, data files and cloud drives including AWS and Azure data sources, enabling users to explore and visualize data. Users can build real-time notebook-style reports directly in a…
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
Features
Return to navigation
Product Details
- About
- Tech Details
- FAQs
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 Systems | Unspecified |
|---|---|
| Mobile Application | No |
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 Visualization and Interactive Data Analysis highest, with a score of 9.6.
The most common users of Jupyter Notebook are from Enterprises (1,001+ employees).
Comparisons
Compare with
Reviews and Ratings
(124)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
Jupyter Notebook has found a wide range of use cases across various industries and roles. Data analysts, scientists, and engineers have utilized Jupyter Notebook to handle different types of data, including csv, excel, and json files for efficient data analysis in banking and e-learning industries. The flexibility of the notebook allows users to organize workflows into manageable chunks, making them easier to replicate for future projects. Additionally, it has been widely adopted by Science and Analytics departments for tasks such as data wrangling, graph visualization, machine learning model creation, and suite of analyses to understand business landscapes. Jupyter Notebook has also been instrumental in training and fine-tuning machine learning models efficiently, as well as automating tasks like scraping data from PDFs. With its ability to integrate with cloud desktops and production systems, Jupyter Notebook is widely used by data scientists in organizations. Furthermore, it serves as a platform for collaboration and code sharing among teams, making it valuable for project management. Overall, Jupyter Notebook's interactive environment and flexibility have made it a versatile tool recommended for data analysts, managers, engineers, and data scientists seeking to explore, analyze, visualize, and deploy Python code efficiently.
Intuitive Organization: Users have found Jupyter Notebook's visually intuitive organization of code to be beneficial for understanding and navigating through different sections. This seamless workflow has increased productivity for many reviewers.
Static but Changeable Display: The static but changeable display of function outputs in Jupyter Notebook has been highly valued by users, allowing them to easily replicate notebooks or convert them into PDFs for documentation and sharing purposes. This feature provides a convenient way to showcase analysis results and collaborate with others.
Step-by-Step Output Viewing: Many users appreciate the ability to see the output after each step in Jupyter Notebook, enabling a step-by-step approach to data analysis and visualization. This functionality helps users identify and rectify errors or inconsistencies in their code efficiently.
Limited Features: Some users have expressed that Jupyter Notebook lacks certain features and functionality, such as limited markdown styling and the inability to handle multiple kernels. They feel that these limitations restrict their ability to fully utilize the software for their needs.
Difficult Code Styling and Navigation: A common concern among users is the difficulty in styling Python code within Jupyter Notebook and navigating through long notebooks. Several reviewers have suggested the addition of bookmarks or easier ways to navigate, as they find it time-consuming and cumbersome to work with large amounts of code.
Absence of Dark Mode Option: The absence of a dark mode option has been mentioned by several users as a helpful feature that could improve the user experience. They believe that having a dark mode would reduce eye strain during prolonged usage sessions and enhance overall readability.
Attribute Ratings
Reviews
(1-22 of 22)Companies can't remove reviews or game the system. Here's why
April 29, 2022
Jupyter feels like you are on moon
Score 7 out of 10
Vetted Review
Verified User
Mostly I use Jupyter Notebook to test some python code that I work on.
December 16, 2021
Jupyter Notebook: A boon to present codes
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.
November 29, 2021
Feedback - Jupyter Notebook
Score 10 out of 10
Vetted Review
Verified 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 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
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.
October 08, 2021
Jupyter "THE ATTRACTIVE" Notebook
Score 10 out of 10
Vetted Review
Verified User
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.
September 27, 2021
Jupyter Pros and Cons
Jupyter notebooks are widely used by our Science and Analytics departments to analyze data, make forecasts, clean/wrangle data, graph visualizations, create machine learning models, and perform a suite of analyses to best understand our business landscape.
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.
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.
June 01, 2021
Python programming made easy with Jupyter!
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.
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.
May 13, 2021
Jupyter makes life easier.
We are an E-learning company. We use Jupyter Notebook in our lab's virtual environment.
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.
May 02, 2021
Jupyter Notebook for quick in-depth analysis
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.
May 02, 2021
Great product for data modeling
Jupyter Notebook is used by the profiling department and we use it for data analysis and modeling.
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.
May 01, 2021
Best to get started for data scientists
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.
May 01, 2021
All in one workspace for Data Sciences
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.
April 30, 2021
Jupyter Notebook for the win!
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.
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.
February 24, 2021
Jupyter Notebook, the perfect place to start
I use Jupyter Notebook to run Python codes for data science and visualization. It is being used by the data analytics department and it allows the team to work on analytics projects and write insightful reports.
January 26, 2021
Light user of Jupyter Notebook
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
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.