Jupyter Notebook vs NVIDIA RAPIDS

Likelihood to Recommend

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.

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Lindsay Veazey

Senior Data Scientist

VeryComputer Software, 201-500 employees

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NVIDIA RAPIDS is great for integrated and planned machine learning and deep learning journey. It is excellent if you have big data with defined processes to be improved and monitored. It is less effective if the project is continuously changed and the data are to be prepared and cleaned a lot and [in] many different ways.

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Mauro Bennici

CTO (Chief Technical Officer)

Ghostwriter.AIComputer Software, 1-10 employees

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Feature Rating Comparison

Jupyter Notebook

NVIDIA RAPIDS

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Jupyter Notebook

NVIDIA RAPIDS

Visualization

Interactive Data Analysis

Jupyter Notebook

NVIDIA RAPIDS

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Jupyter Notebook

NVIDIA RAPIDS

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Jupyter Notebook

NVIDIA RAPIDS

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Pros

Code presentation- with Jupyter Notebook you can deploy codes and markdowns which makes the code easy to read and understand.
User interface- the user interface of the Jupyter Notebook is very smooth, there are a lot of easy shortcuts as well the icons to make our work easier
Server hosting- with Jupyter Notebook server hosting is very easy which adds to the security feature

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Aditya Kumar

Program Associate

Wells FargoBanking, 10,001+ employees

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Visualization
Deep learning pipeline
State of the art libraries

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Mauro Bennici

CTO (Chief Technical Officer)

Ghostwriter.AIComputer Software, 1-10 employees

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Cons

Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.

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Verified User

Engineer in Research & Development

Information Technology & Services Company, 5001-10,000 employees

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GPU restart failure is a tricky bug

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Mauro Bennici

CTO (Chief Technical Officer)

Ghostwriter.AIComputer Software, 1-10 employees

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Usability

Jupyter Notebook 10.0

Based on 1 answer

Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.

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Verified User

Program Manager in Information Technology

Information Technology & Services Company, 10,001+ employees

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No score

No answers yet

No answers on this topic

Support Rating

Jupyter Notebook 9.0

Based on 1 answer

I haven't had a need to contact support. However, all required help is out there in public forums.

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Verified User

Program Manager in Information Technology

Information Technology & Services Company, 10,001+ employees

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No score

No answers yet

No answers on this topic

Alternatives Considered

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.

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Rounak Verma

Data Analyst

Raymour and FlaniganRetail, 1001-5000 employees

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No answers on this topic

Return on Investment

Positive impact: flexible implementation on any OS, for many common software languages
Positive impact: straightforward duplication for adaptation of workflows for other projects
Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration

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Lindsay Veazey

Senior Data Scientist

VeryComputer Software, 201-500 employees

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Efficient way to complete tasks
De-facto GPUs standard

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Mauro Bennici

CTO (Chief Technical Officer)

Ghostwriter.AIComputer Software, 1-10 employees

View all 1 answers on this topic

Pricing Details

General

Free Trial

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Free/Freemium Version

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Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

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General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

—

Rating Summary

Jupyter Notebook

NVIDIA RAPIDS

Jupyter Notebook

NVIDIA RAPIDS

Jupyter Notebook

NVIDIA RAPIDS

Likelihood to Recommend