Compare Hex and The Jupyter Notebook 
At a Glance
Market Segments
Mid-Market (60.9% of reviews)
Enterprise (37.9% of reviews)
Entry-Level Pricing
Free Per Month
No pricing available
Hex
Star Rating
(372)4.5 out of 5
Market Segments
Mid-Market (60.9% of reviews)
Pros & Cons
Entry-Level Pricing
Free Per Month
Free Trial is available
Browse all 4 pricing plansThe Jupyter Notebook
Star Rating
(251)4.6 out of 5
Market Segments
Enterprise (37.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about The Jupyter NotebookSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that The Jupyter Notebook excels in ease of use, with users appreciating its clean interface and effective tools for interactive data analysis. Many find it ideal for learning and experimentation, as it allows for the combination of code, visualizations, and explanations in a single notebook.
- Users say Hex stands out for its straightforward setup and the availability of prebuilt components that require less customization. This makes it easier for users to get started quickly, with one reviewer highlighting the ability to query from various data frames seamlessly.
- According to verified reviews, The Jupyter Notebook has a strong reputation for supporting Python and machine learning tasks, with users noting its effective editing tools and the convenience of the undo feature, which enhances the overall user experience.
- Reviewers mention that Hex offers a unique advantage with its notebook feature, which allows for effortless continuation of work and deeper data analysis. The direct connection to Snowflake is particularly praised for making data access super easy.
- G2 reviewers highlight that while The Jupyter Notebook has a higher score in ease of setup, Hex provides a more robust administrative experience, with users appreciating its ease of administration and overall management capabilities.
- Users express that both products have their strengths, but The Jupyter Notebook is often favored for its customization options and flexibility, while Hex is recognized for its AI capabilities that assist in writing queries, making it a powerful tool for data analytics.
Pricing
Entry-Level Pricing
Hex
Community
Free
Per Month
The free version of Hex. Great for individuals.
- Up to 3 project authors
- 7-day project version history
- Project data connections & secrets
The Jupyter Notebook
No pricing availableFree Trial
Hex
Free Trial is available
The Jupyter Notebook
No trial information availableRatings
Meets Requirements
8.5
293
8.9
206
Ease of Use
8.7
301
9.1
207
Ease of Setup
8.9
176
9.0
47
Ease of Admin
9.0
57
8.8
30
Quality of Support
8.5
215
8.4
171
Has the product been a good partner in doing business?
9.1
59
9.4
24
Product Direction (% positive)
9.3
296
9.0
195
Features by Category
Reports
8.3
220
Not enough data
7.6
207
Not enough data
7.4
226
Not enough data
7.2
192
Not enough data
8.1
213
Not enough data
Self Service
7.7
203
Not enough data
8.1
206
Not enough data
7.9
206
Not enough data
7.2
202
Not enough data
8.3
218
Not enough data
6.1
183
Not enough data
Advanced Analytics
6.5
185
Not enough data
7.8
209
Not enough data
7.0
190
Not enough data
Building Reports
8.0
185
Not enough data
7.8
180
Not enough data
7.5
175
Not enough data
7.0
165
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reports
8.3
220
Not enough data
7.6
207
Not enough data
7.4
226
Not enough data
7.2
192
Not enough data
8.1
213
Not enough data
Data Preparation
8.0
163
Not enough data
Feature Not Available
Not enough data
Data Modeling and Blending
8.7
171
Not enough data
8.3
169
Not enough data
8.3
163
Not enough data
Generative AI
6.1
96
Not enough data
6.0
93
Not enough data
Agentic AI - Analytics Platforms
6.5
33
Not enough data
6.3
29
Not enough data
6.9
30
Not enough data
6.4
28
Not enough data
7.0
35
Not enough data
6.4
29
Not enough data
7.1
28
Not enough data
Self Service
7.7
203
Not enough data
8.1
206
Not enough data
7.9
206
Not enough data
7.2
202
Not enough data
8.3
218
Not enough data
6.1
183
Not enough data
Deployment & Integration - Analytics Platforms
6.9
29
Not enough data
7.9
36
Not enough data
6.9
26
Not enough data
8.1
35
Not enough data
Advanced Analytics
6.5
185
Not enough data
7.8
209
Not enough data
7.0
190
Not enough data
Performance & Scalability - Analytics Platforms
6.5
39
Not enough data
7.1
31
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
7.2
30
Not enough data
8.4
48
Not enough data
6.3
27
Not enough data
Agentic AI Capabilities - Analytics Platforms
6.8
28
Not enough data
7.5
34
Not enough data
6.7
27
Not enough data
6.7
28
Not enough data
Personalized Intelligence - Analytics Platforms
6.5
26
Not enough data
6.2
26
Not enough data
7.2
31
Not enough data
Building Reports
8.0
185
Not enough data
7.8
180
Not enough data
7.5
175
Not enough data
7.0
165
Not enough data
Reports
8.3
220
Not enough data
7.6
207
Not enough data
7.4
226
Not enough data
7.2
192
Not enough data
8.1
213
Not enough data
Self Service
7.7
203
Not enough data
8.1
206
Not enough data
7.9
206
Not enough data
7.2
202
Not enough data
8.3
218
Not enough data
6.1
183
Not enough data
Building Reports
8.0
185
Not enough data
7.8
180
Not enough data
7.5
175
Not enough data
7.0
165
Not enough data
Functionality
8.7
63
8.9
148
6.9
56
8.3
145
7.5
48
7.4
116
7.4
54
7.8
140
8.8
58
8.4
137
7.5
57
8.2
138
7.9
52
8.3
130
System
8.1
92
Not enough data
Model Development
7.4
90
Not enough data
7.0
94
Not enough data
5.5
87
Not enough data
5.5
89
Not enough data
Model Development
5.9
79
Not enough data
Machine/Deep Learning Services
4.4
81
Not enough data
5.1
84
Not enough data
4.8
82
Not enough data
4.5
80
Not enough data
Machine/Deep Learning Services
5.1
69
Not enough data
5.0
70
Not enough data
Deployment
6.9
85
Not enough data
7.0
84
Not enough data
6.7
85
Not enough data
Generative AI
5.7
40
Not enough data
5.7
40
Not enough data
4.3
40
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
5.3
10
Not enough data
5.7
10
Not enough data
7.0
10
Not enough data
4.7
10
Not enough data
6.1
11
Not enough data
5.8
10
Not enough data
5.7
10
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Hex and The Jupyter Notebook are categorized as Python Integrated Development Environments (IDE)
Unique Categories
Hex is categorized as Data Science and Machine Learning Platforms, Embedded Business Intelligence, and Analytics Platforms
The Jupyter Notebook is categorized as AWS Marketplace
Reviews
Reviewers' Company Size
Hex
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
The Jupyter Notebook
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
22.1%
Information Technology and Services
19.2%
Financial Services
11.7%
Hospital & Health Care
4.2%
Marketing and Advertising
3.3%
Other
39.4%
Computer Software
20.4%
Information Technology and Services
20.0%
Higher Education
8.1%
Education Management
6.8%
Research
3.4%
Other
41.3%
Discussions
Hex has no discussions with answers
Do you have any plans to keep allowing users to save jupyter notebooks without obligating them to use "cloud services"?
1 Comment
TM
I always encourage students to have a local copy. I just wish there was an easier way to run it locally on Win10/Mac. Anaconda makes it simpler but it is...Read more
What are the features of Jupyter notebook?
1 Comment
DG
1.Code cells for writing and editing code.
2.Markdown cell for writing comments and/or code functions.
3.Raw Jupyter NBConvert cells.
4.A support for...Read more
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