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Compare MLlib and scikit-learn 
At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (40.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
MLlib
Star Rating
(14)4.1 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about MLlibscikit-learn
Star Rating
(60)4.8 out of 5
Market Segments
Enterprise (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about scikit-learnMLlib 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 MLlib.
- 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 MLlib.
Pricing
Entry-Level Pricing
MLlib
No pricing availablescikit-learn
No pricing availableFree Trial
MLlib
No trial information availablescikit-learn
No trial information availableRatings
Meets Requirements
8.5
14
9.6
53
Ease of Use
8.8
14
9.6
53
Ease of Setup
8.7
9
9.6
41
Ease of Admin
7.9
7
9.4
39
Quality of Support
7.3
10
9.4
49
Has the product been a good partner in doing business?
7.6
7
9.2
35
Product Direction (% positive)
7.5
14
9.3
53
Features by Category
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
Categories
Categories
Shared Categories
MLlib and scikit-learn are categorized as Machine Learning
Unique Categories
MLlib has no unique categories
scikit-learn has no unique categories
Reviews
Reviewers' Company Size
MLlib
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
Financial Services
21.4%
Computer Software
21.4%
Telecommunications
14.3%
Information Technology and Services
14.3%
Wireless
7.1%
Other
21.4%
Computer Software
35.0%
Information Technology and Services
16.7%
Higher Education
11.7%
Computer & Network Security
6.7%
Hospital & Health Care
5.0%
Other
25.0%
Alternatives
Discussions
MLlib has no discussions with answers
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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