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Compare Weka and scikit-learn

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At a Glance
Weka
Weka
Star Rating
(13)4.3 out of 5
Market Segments
Enterprise (76.9% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Weka
scikit-learn
scikit-learn
Star Rating
(59)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about scikit-learn
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Weka's user interface is intuitive, making it easier for beginners to navigate, while scikit-learn's interface is more code-centric, which some users find less accessible.
  • Reviewers mention that scikit-learn excels in integration with other Python libraries, such as NumPy and pandas, which enhances its functionality for data manipulation and analysis, whereas Weka's integration capabilities are more limited.
  • G2 users highlight that scikit-learn offers a wider variety of algorithms and models, including advanced techniques like ensemble methods, while Weka is praised for its comprehensive suite of visualization tools that help in understanding data distributions.
  • Users on G2 report that Weka's built-in data preprocessing tools are user-friendly, allowing for easy manipulation of datasets, whereas scikit-learn requires more coding knowledge to achieve similar preprocessing tasks.
  • Reviewers say that scikit-learn's documentation is extensive and well-organized, making it easier for users to find solutions to their problems, while Weka's documentation is considered less comprehensive, leading to some frustration among users.
  • Users mention that Weka's support quality is lower compared to scikit-learn, which benefits from a larger community and more active forums, providing better assistance and resources for troubleshooting.
Pricing
Entry-Level Pricing
Weka
No pricing available
scikit-learn
No pricing available
Free Trial
Weka
No trial information available
scikit-learn
No trial information available
Ratings
Meets Requirements
8.9
12
9.6
52
Ease of Use
8.2
12
9.6
52
Ease of Setup
8.8
11
9.6
40
Ease of Admin
9.0
10
9.4
39
Quality of Support
7.9
8
9.4
48
Has the product been a good partner in doing business?
8.1
9
9.2
35
Product Direction (% positive)
7.1
12
9.3
52
Features by Category
Not enough data
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
Categories
Categories
Shared Categories
Weka
Weka
scikit-learn
scikit-learn
Weka and scikit-learn are categorized as Machine Learning
Unique Categories
Weka
Weka has no unique categories
scikit-learn
scikit-learn has no unique categories
Reviews
Reviewers' Company Size
Weka
Weka
Small-Business(50 or fewer emp.)
0%
Mid-Market(51-1000 emp.)
23.1%
Enterprise(> 1000 emp.)
76.9%
scikit-learn
scikit-learn
Small-Business(50 or fewer emp.)
28.8%
Mid-Market(51-1000 emp.)
30.5%
Enterprise(> 1000 emp.)
40.7%
Reviewers' Industry
Weka
Weka
Higher Education
30.8%
Information Technology and Services
15.4%
Research
7.7%
Real Estate
7.7%
Management Consulting
7.7%
Other
30.8%
scikit-learn
scikit-learn
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%
Alternatives
Weka
Weka Alternatives
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machine-learning in Python
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Dataiku
Dataiku
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Alteryx
Alteryx
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scikit-learn
scikit-learn Alternatives
MLlib
MLlib
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Discussions
Weka
Weka Discussions
Monty the Mongoose crying
Weka has no discussions with answers
scikit-learn
scikit-learn Discussions
What is scikit-learn used for?
2 Comments
Madhusmita S.
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
rehan a.
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
Monty the Mongoose crying
scikit-learn has no more discussions with answers