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Compare Deepnote and Python 3.8 with Ubuntu 20.04 LTS 
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At a Glance
Market Segments
Small-Business (68.8% of reviews)
Small-Business (41.2% of reviews)
Entry-Level Pricing
Free 1 Editors Per Month
No pricing available
Deepnote
Star Rating
(356)4.5 out of 5
Market Segments
Small-Business (68.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 Editors Per Month
Browse all 3 pricing plansPython 3.8 with Ubuntu 20.04 LTS
Star Rating
(17)4.6 out of 5
Market Segments
Small-Business (41.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Python 3.8 with Ubuntu 20.04 LTSSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Deepnote excels in collaboration features, allowing multiple users to work on notebooks simultaneously, which enhances team productivity. In contrast, Python 3.8 with Ubuntu 20.04 LTS lacks built-in collaboration tools, making it less suitable for team environments.
- Reviewers mention that Deepnote's ease of use is a significant advantage, particularly for those new to data science, as it provides a user-friendly interface and integrated help guides. Python 3.8, while powerful, requires a steeper learning curve and more technical knowledge to set up and use effectively.
- G2 users highlight Deepnote's strong data visualization capabilities, with features like interactive charts and dashboards that are easy to create. Python 3.8, on the other hand, relies on external libraries like Matplotlib and Seaborn for visualization, which can be more complex to implement.
- Users on G2 report that Deepnote's data ingestion and wrangling tools are intuitive and efficient, allowing for quick data preparation. In contrast, Python 3.8 requires more manual coding for data wrangling tasks, which can be time-consuming for users.
- Reviewers say that Deepnote's managed service deployment option simplifies the process of sharing and deploying projects, making it accessible for users without extensive DevOps knowledge. Python 3.8 requires users to manage their own deployment, which can be a barrier for some.
- Users mention that while Python 3.8 offers extensive libraries for machine learning and deep learning, Deepnote provides pre-built algorithms and a more streamlined approach to model development, making it easier for users to get started with machine learning projects.
Pricing
Entry-Level Pricing
Deepnote
Free
Free
1 Editors Per Month
- Up to 3 editors
- Up to 5 projects
- Unlimited Basic machines with 5GB RAM, 2vCPU
Python 3.8 with Ubuntu 20.04 LTS
No pricing availableFree Trial
Deepnote
Free Trial is available
Python 3.8 with Ubuntu 20.04 LTS
No trial information availableRatings
Meets Requirements
8.7
322
9.4
14
Ease of Use
8.9
325
9.3
14
Ease of Setup
9.0
254
Not enough data
Ease of Admin
8.8
53
9.3
5
Quality of Support
8.7
223
9.3
14
Has the product been a good partner in doing business?
8.6
53
Not enough data
Product Direction (% positive)
9.4
317
10.0
15
Features by Category
Reports
8.0
173
Not enough data
7.7
173
Not enough data
7.6
178
Not enough data
7.4
167
Not enough data
7.6
168
Not enough data
Data Preparation
8.5
150
Not enough data
7.6
142
Not enough data
Data Modeling and Blending
8.5
152
Not enough data
8.3
149
Not enough data
8.4
145
Not enough data
Generative AI
6.9
57
Not enough data
6.8
55
Not enough data
Agentic AI - Analytics Platforms
6.5
23
Not enough data
6.3
23
Not enough data
7.1
23
Not enough data
6.2
23
Not enough data
7.0
22
Not enough data
6.3
22
Not enough data
6.8
23
Not enough data
Self Service
8.2
163
Not enough data
8.4
169
Not enough data
8.3
169
Not enough data
7.7
165
Not enough data
8.6
170
Not enough data
7.8
160
Not enough data
Deployment & Integration - Analytics Platforms
7.0
21
Not enough data
7.2
21
Not enough data
7.0
20
Not enough data
7.5
21
Not enough data
Advanced Analytics
7.7
162
Not enough data
8.1
169
Not enough data
7.8
151
Not enough data
Performance & Scalability - Analytics Platforms
6.9
21
Not enough data
7.1
21
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
7.3
20
Not enough data
7.8
20
Not enough data
7.3
20
Not enough data
Agentic AI Capabilities - Analytics Platforms
7.1
20
Not enough data
7.4
20
Not enough data
7.3
19
Not enough data
6.9
19
Not enough data
Personalized Intelligence - Analytics Platforms
7.0
19
Not enough data
7.0
20
Not enough data
7.3
20
Not enough data
Building Reports
8.2
149
Not enough data
8.3
148
Not enough data
7.7
145
Not enough data
8.0
148
Not enough data
Functionality
9.2
143
9.7
13
8.3
142
9.5
13
7.8
130
8.2
12
7.5
139
9.5
13
8.9
140
8.7
13
8.1
138
9.1
13
8.4
133
9.7
11
System
8.6
167
Not enough data
Model Development
8.3
168
Not enough data
Feature Not Available
Not enough data
7.4
166
Not enough data
7.2
171
Not enough data
Model Development
7.6
156
Not enough data
Machine/Deep Learning Services
6.5
160
Not enough data
7.1
160
Not enough data
6.9
154
Not enough data
7.0
157
Not enough data
Machine/Deep Learning Services
7.2
147
Not enough data
7.5
149
Not enough data
Deployment
8.0
161
Not enough data
8.0
165
Not enough data
7.8
161
Not enough data
Generative AI
7.3
53
Not enough data
7.0
52
Not enough data
6.3
51
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
5.5
17
Not enough data
6.0
16
Not enough data
6.3
17
Not enough data
5.7
16
Not enough data
5.8
16
Not enough data
5.7
16
Not enough data
7.0
16
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
Deepnote and Python 3.8 with Ubuntu 20.04 LTS are categorized as Python Integrated Development Environments (IDE)
Unique Categories
Deepnote is categorized as Analytics Platforms and Data Science and Machine Learning Platforms
Python 3.8 with Ubuntu 20.04 LTS is categorized as AWS Marketplace
Reviews
Reviewers' Company Size
Deepnote
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Python 3.8 with Ubuntu 20.04 LTS
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
17.2%
Higher Education
12.3%
Information Technology and Services
11.5%
Financial Services
8.0%
Research
4.0%
Other
47.0%
Information Technology and Services
47.1%
Computer Software
17.6%
Consulting
5.9%
Retail
5.9%
Higher Education
5.9%
Other
17.6%
Discussions
Is Deepnote good?
1 Comment
KP
YesRead more
Deepnote has no more discussions with answers
Python 3.8 with Ubuntu 20.04 LTS has no discussions with answers
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