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At a Glance
Market Segments
Mid-Market (46.4% of reviews)
Enterprise (40.7% of reviews)
Entry-Level Pricing
Free All the basics for individual analysts
No pricing available
Mode
Star Rating
(330)4.5 out of 5
Market Segments
Mid-Market (46.4% of reviews)
Pros & Cons
Entry-Level Pricing
Free All the basics for individual analysts
Browse all 3 pricing plansscikit-learn
Star Rating
(59)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about scikit-learnMode vs scikit-learn
When assessing the two solutions, reviewers found scikit-learn easier to use, set up, and administer. Reviewers also preferred doing business with scikit-learn overall.
- Reviewers felt that scikit-learn meets the needs of their business better than Mode.
- When comparing quality of ongoing product support, reviewers felt that scikit-learn is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of scikit-learn over Mode.
Pricing
Entry-Level Pricing
Mode
Studio
Free
All the basics for individual analysts
Included:
- SQL, Python, & R
- Private database connections
scikit-learn
No pricing availableFree Trial
Mode
Free Trial is available
scikit-learn
No trial information availableRatings
Meets Requirements
8.7
285
9.6
52
Ease of Use
8.7
289
9.6
52
Ease of Setup
8.8
66
9.6
40
Ease of Admin
8.9
66
9.4
39
Quality of Support
8.9
215
9.4
48
Has the product been a good partner in doing business?
9.1
65
9.2
35
Product Direction (% positive)
8.8
283
9.3
52
Features by Category
Reports
8.7
212
|
Verified
Not enough data
8.1
167
|
Verified
Not enough data
8.3
215
|
Verified
Not enough data
8.2
135
|
Verified
Not enough data
8.6
206
|
Verified
Not enough data
Self Service
8.3
162
|
Verified
Not enough data
8.2
182
|
Verified
Not enough data
8.0
179
|
Verified
Not enough data
7.9
181
|
Verified
Not enough data
8.2
169
|
Verified
Not enough data
Feature Not Available
Not enough data
Advanced Analytics
7.8
116
|
Verified
Not enough data
8.7
192
|
Verified
Not enough data
8.4
130
|
Verified
Not enough data
Building Reports
8.5
84
|
Verified
Not enough data
8.3
88
|
Verified
Not enough data
7.7
64
|
Verified
Not enough data
8.2
57
|
Verified
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
8.7
212
|
Verified
Not enough data
8.1
167
|
Verified
Not enough data
8.3
215
|
Verified
Not enough data
8.2
135
|
Verified
Not enough data
8.6
206
|
Verified
Not enough data
Data Preparation
8.4
61
|
Verified
Not enough data
8.1
62
|
Verified
Not enough data
Data Modeling and Blending
9.3
96
|
Verified
Not enough data
8.7
93
|
Verified
Not enough data
8.8
70
|
Verified
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics Platforms
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
Self Service
8.3
162
|
Verified
Not enough data
8.2
182
|
Verified
Not enough data
8.0
179
|
Verified
Not enough data
7.9
181
|
Verified
Not enough data
8.2
169
|
Verified
Not enough data
Feature Not Available
Not enough data
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
7.8
116
|
Verified
Not enough data
8.7
192
|
Verified
Not enough data
8.4
130
|
Verified
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.5
84
|
Verified
Not enough data
8.3
88
|
Verified
Not enough data
7.7
64
|
Verified
Not enough data
8.2
57
|
Verified
Not enough data
Reports
8.7
212
|
Verified
Not enough data
8.1
167
|
Verified
Not enough data
8.3
215
|
Verified
Not enough data
8.2
135
|
Verified
Not enough data
8.6
206
|
Verified
Not enough data
Self Service
8.3
162
|
Verified
Not enough data
8.2
182
|
Verified
Not enough data
8.0
179
|
Verified
Not enough data
7.9
181
|
Verified
Not enough data
8.2
169
|
Verified
Not enough data
Feature Not Available
Not enough data
Building Reports
8.5
84
|
Verified
Not enough data
8.3
88
|
Verified
Not enough data
7.7
64
|
Verified
Not enough data
8.2
57
|
Verified
Not enough data
Metrics
9.1
32
Not enough data
9.1
34
Not enough data
8.3
29
Not enough data
8.8
31
Not enough data
8.9
31
Not enough data
8.7
33
Not enough data
8.6
25
Not enough data
8.6
33
Not enough data
8.6
36
Not enough data
Reporting
8.9
44
Not enough data
8.7
39
Not enough data
9.2
42
Not enough data
8.7
38
Not enough data
8.7
21
Not enough data
9.1
29
Not enough data
9.0
49
Not enough data
Other
8.8
39
Not enough data
8.1
29
Not enough data
8.3
31
Not enough data
8.6
32
Not enough data
8.6
27
Not enough data
8.3
23
Not enough data
8.5
27
Not enough data
Agentic AI - Digital Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
9.0
38
Not enough data
8.6
32
Not enough data
9.0
53
Not enough data
9.0
49
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Marketing Operations
8.9
31
|
Verified
Not enough data
8.3
35
|
Verified
Not enough data
8.5
36
|
Verified
Not enough data
8.8
37
|
Verified
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Campaign Activity
8.7
38
|
Verified
Not enough data
9.1
42
|
Verified
Not enough data
8.3
29
|
Verified
Not enough data
8.3
34
|
Verified
Not enough data
8.5
28
|
Verified
Not enough data
8.9
19
|
Verified
Not enough data
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Mode and scikit-learn share no categories
Unique Categories
Mode is categorized as Marketing Analytics, Embedded Business Intelligence, Analytics Platforms, and Digital Analytics
scikit-learn is categorized as Machine Learning
Reviews
Reviewers' Company Size
Mode
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
scikit-learn
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
Information Technology and Services
14.1%
Computer Software
13.8%
Financial Services
7.5%
Internet
6.6%
Transportation/Trucking/Railroad
4.4%
Other
53.6%
Computer Software
35.6%
Information Technology and Services
16.9%
Higher Education
10.2%
Computer & Network Security
6.8%
Hospital & Health Care
5.1%
Other
25.4%
Discussions
How do i average on charts without averaging averages
2 Comments
GS
Create averages in the query and use the results in the chartsRead more
Why do companies choose Mode over Looker?
1 Comment
Official Response from Mode
Put simply, data teams move faster in Mode. In Looker, teams have to decide upfront how to model their data, instead of working with data first and then...Read more
What is scikit-learn used for?
2 Comments
MS
Scikit-learn is a powerful library, well-integrated with other Python libraries such as pandas, NumPy, Matplotlib, and Seaborn. It supports creating machine...Read more
What is Python Scikit learn?
1 Comment
RA
It is a library used to implement machine-learning models. Provides vast range of methods to perform data preprocessing, feature selection, and popularly...Read more
scikit-learn has no more discussions with answers
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