Skip to main content
TrustRadius
Jupyter Notebook

Jupyter Notebook

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…

Read more

Learn from top reviewers

Jupyter Notebook User Review

Rating: 10 out of 10
December 31, 2024
IncentivizedVetted ReviewVerified User
We usually write python code in it as its interface is simple and easy to use. To reduce time and to automate daily task we started using python and to write code we searched ...
Continue reading
Verified user
Analyst
Jupyter Notebook3 years of experience

Feedback - Jupyter Notebook

Rating: 10 out of 10
November 29, 2021
Vetted ReviewVerified 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 recommen...
Continue reading
Shailesh Pandey
Technician - Other
Laboratory Technician
Regency Healthcare - Kanpur
Jupyter Notebook1 year of experience

Jupyter Pros and Cons

Rating: 10 out of 10
September 27, 2021
IncentivizedVetted ReviewVerified User
Jupyter notebooks are widely used by our Science and Analytics departments to analyze data, make forecasts, clean/wrangle data, graph visualizations, create machine learning m...
Continue reading
Rita Lo
Analyst - Corporate
Lyft Inc.
Jupyter Notebook5 years of experience

Flexible, lightweight, and visually intuitive organization of your workflows

Rating: 10 out of 10
July 20, 2021
IncentivizedVetted ReviewVerified User
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 helpf...
Continue reading
Lindsay Veazey
Engineer - Engineering
Senior Data Scientist
Very
Jupyter Notebook5 years of experience

Python programming made easy with Jupyter!

Rating: 9 out of 10
June 1, 2021
IncentivizedVetted ReviewVerified User
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 ...
Continue reading
Rounak Verma
Employee - Engineering
Data Analyst
Raymour and Flanigan
Jupyter Notebook3 years of experience
Log in with LinkedIn to see content from your network
Return to navigation

Pricing

View all pricing
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…

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?

39 people also want pricing

Alternatives Pricing

Spotfire

Spotfire

$0.99
Per Hour (Starting)
What is Spotfire?

Spotfire, formerly known as TIBCO Spotfire, is a visual data science platform that combines visual analytics, data science, and data wrangling, so users can analyze data at-rest and at-scale to solve complex industry-specific problems.

Rational BI

Rational BI

Free
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…

Return to navigation

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
Return to navigation

Features

Platform Connectivity

Ability to connect to a wide variety of data sources

9
Avg 8.4

Data Exploration

Ability to explore data and develop insights

7
Avg 8.4

Data Preparation

Ability to prepare data for analysis

9.5
Avg 8.2

Platform Data Modeling

Building predictive data models

9.3
Avg 8.5

Model Deployment

Tools for deploying models into production

10
Avg 8.6
Return to navigation

Product Details

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 SystemsUnspecified
Mobile ApplicationNo

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 Connect to Multiple Data Sources and Extend Existing Data Sources and Interactive Data Cleaning and Enrichment highest, with a score of 10.

The most common users of Jupyter Notebook are from Enterprises (1,001+ employees).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews From Top Reviewers

View all reviews
(1-5 of 18)

Jupyter Notebook - For a better data analysis and visualizations

Rating: 8 out of 10
Incentivized
April 07, 2021
RK
Rahul Kapoor
Software Engineer
Fidelity Information Services (Financial Services, 5001-10,000 employees)
Vetted Review
Verified User
Jupyter Notebook
1 year of experience
Use Cases and Deployment Scope
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.
Pros
  • Data Analysis
  • Visualizations
  • Documentation
Cons
  • Limited Markdown Styling
  • Complex to handle multiple kernels
  • Difficult python code styling
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.

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

Rating: 8 out of 10
Incentivized
May 13, 2021
Verified User
Engineer in Research & Development
Biotechnology Company, 10,001+ employees
Vetted Review
Verified User
Jupyter Notebook
4 years of experience
Use Cases and Deployment Scope
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.
Pros
  • Markdown for comments/explanations.
  • Interactive programming.
  • Easy to use and share notebooks.
Cons
  • Doesn't have some features that competitors have.
  • Difficult to do direct collaboration on the same notebook.
  • Doesn't provide great code style support/corrections.
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.

Jupyter Notebook for quick in-depth analysis

Rating: 9 out of 10
Incentivized
May 02, 2021
SP
Shivani Pandey
Project Engineer
Wipro Limited (Information Technology & Services, 10,001+ employees)
Vetted Review
Verified User
Jupyter Notebook
1 year of experience
View profile
Use Cases and Deployment Scope
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.
Pros
  • Easy to learn and use
  • Data [modeling]
  • Data analysis and reporting
  • Predefined visualizations models
Cons
  • Not much troubleshooting support available
  • No support for IDE
  • Deployment is complex for cloud environments
Likelihood to Recommend
Jupyter Notebook is best suited for scenarios where you have small to medium size JSON/ Excel data. It is not well suited for large amounts of data.

Great product for data modeling

Rating: 10 out of 10
Incentivized
May 02, 2021
Use Cases and Deployment Scope
Jupyter Notebook is used by the profiling department and we use it for data analysis and modeling.
Pros
  • Great visualizations
  • Easy to edit and track data flows
Cons
  • Colaborative working
Likelihood to Recommend
[Jupyter Notebook is] great for data analysis, [feature engineering,] and data modeling.

All in one workspace for Data Sciences

Rating: 9 out of 10
Incentivized
May 01, 2021
Verified User
Employee in Information Technology
Information Technology & Services Company, 1-10 employees
Vetted Review
Verified User
Jupyter Notebook
4 years of experience
Use Cases and Deployment Scope
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.
Pros
  • Easy and interactive Python environment.
  • Latex markdown for explanations.
  • Terminal access through cell itself.
  • Fast Intellisense.
  • Documentation access through cell commands.
  • Intuitive Key Bindings.
Cons
  • Creating and installing a virtual environment can be tricky.
  • Conda environment can be granular to work with.
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.
Return to navigation