TrustRadius

JAX vs. Jupyter Notebook

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
JAX
Score 8.0 out of 10
N/A
JAX, an open-source Google project, is Autograd and XLA, brought together for high-performance machine learning research. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It is free and open source under an Apache 2.0 license.N/A
Jupyter Notebook
Score 9.4 out of 10
N/A
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…N/A
Pricing
JAXJupyter Notebook
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
JAXJupyter Notebook
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
JAXJupyter Notebook
Features
JAXJupyter Notebook
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
JAX
-
Ratings
Jupyter Notebook
9.0
Ratings
7% above category average
Connect to Multiple Data Sources00 Ratings10.00 Ratings
Extend Existing Data Sources00 Ratings10.00 Ratings
Automatic Data Format Detection00 Ratings8.50 Ratings
MDM Integration00 Ratings7.40 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
JAX
-
Ratings
Jupyter Notebook
7.0
Ratings
18% below category average
Visualization00 Ratings6.00 Ratings
Interactive Data Analysis00 Ratings8.00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
JAX
-
Ratings
Jupyter Notebook
9.5
Ratings
15% above category average
Interactive Data Cleaning and Enrichment00 Ratings10.00 Ratings
Data Transformations00 Ratings10.00 Ratings
Data Encryption00 Ratings8.50 Ratings
Built-in Processors00 Ratings9.30 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
JAX
-
Ratings
Jupyter Notebook
9.3
Ratings
10% above category average
Multiple Model Development Languages and Tools00 Ratings10.00 Ratings
Automated Machine Learning00 Ratings9.20 Ratings
Single platform for multiple model development00 Ratings10.00 Ratings
Self-Service Model Delivery00 Ratings8.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
JAX
-
Ratings
Jupyter Notebook
10.0
Ratings
16% above category average
Flexible Model Publishing Options00 Ratings10.00 Ratings
Security, Governance, and Cost Controls00 Ratings10.00 Ratings
User Ratings
JAXJupyter Notebook
Likelihood to Recommend
-
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
10.0
(0 ratings)
Support Rating
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
JAXJupyter Notebook
Likelihood to Recommend
No answers on this topic
I would rate it 9/10 while recommending Jupyter Notebook as it offers me a wide range of functionality to operate. It is very well suited for someone who is new to python programming as the user interface helps you build code line by line. I personally have written multiple programs in Python using Jupyter Notebook as it helps me organize long code by breaking it in a structure. Also the ability to write comments using '#' helps a lot to a reader understand the code.
RV
Rounak Verma
Data Analyst
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Pros
No answers on this topic
  • Coding and error correction line by line
  • Simple and Effectiveness
  • Easy to use for visualisation and presentation of code
  • Could be used at any place any time without hassle
Verified User
Anonymous
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Cons
No answers on this topic
  • 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.
Verified User
Anonymous
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Usability
No answers on this topic
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.
Verified User
Anonymous
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Support Rating
No answers on this topic
I haven't had a need to contact support. However, all required help is out there in public forums.
Verified User
Anonymous
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Alternatives Considered
No answers on this topic
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.
Lindsay Veazey | TrustRadius Reviewer
Lindsay Veazey
Senior Data Scientist
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Return on Investment
No answers on this topic
  • 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
Lindsay Veazey | TrustRadius Reviewer
Lindsay Veazey
Senior Data Scientist
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