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Compare Torch and scikit-learn 
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At a Glance
Market Segments
Small-Business (42.9% of reviews)
Enterprise (40.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Torch
Star Rating
(15)4.4 out of 5
Market Segments
Small-Business (42.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Torchscikit-learn
Star Rating
(59)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about scikit-learnSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Torch excels in deep learning capabilities, particularly with its dynamic computation graph, which allows for more flexibility during model training. In contrast, scikit-learn is often praised for its simplicity and ease of use, making it a go-to for traditional machine learning tasks.
- Reviewers mention that scikit-learn's user interface is more intuitive for beginners, with a wealth of documentation and tutorials available, while Torch's documentation can be less accessible for new users, leading to a steeper learning curve.
- G2 users highlight that Torch offers advanced features like real-time processing and transfer learning, which are essential for complex neural network applications. However, scikit-learn shines in its comprehensive suite of algorithms for data preprocessing and model evaluation, making it ideal for users focused on traditional machine learning workflows.
- Users on G2 report that scikit-learn's ease of setup and administration is significantly higher than Torch's, with many reviewers noting that they were able to get started quickly without extensive configuration.
- Reviewers say that while Torch provides powerful model optimization tools, scikit-learn's automated model tuning features are more user-friendly and accessible, allowing users to achieve optimal performance with less manual intervention.
- Users mention that Torch's scalability is a strong point, particularly for large datasets and complex models, whereas scikit-learn is often seen as more suitable for smaller datasets and simpler models, which can limit its scalability in certain applications.
Pricing
Entry-Level Pricing
Torch
No pricing availablescikit-learn
No pricing availableFree Trial
Torch
No trial information availablescikit-learn
No trial information availableRatings
Meets Requirements
8.9
11
9.6
52
Ease of Use
8.9
11
9.6
52
Ease of Setup
8.1
9
9.6
40
Ease of Admin
8.3
9
9.4
39
Quality of Support
8.1
9
9.4
48
Has the product been a good partner in doing business?
7.8
9
9.2
35
Product Direction (% positive)
8.8
10
9.3
52
Features by Category
Core Functionality - Artificial Neural Network
Not enough data
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Data Handling - Artificial Neural Network
Not enough data
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Performance - Artificial Neural Network
Not enough data
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Usability - Artificial Neural Network
Not enough data
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Advanced Features - Artificial Neural Network
Not enough data
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Agentic AI - Artificial Neural Network
Not enough data
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Integration - Machine Learning
Not enough data
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Learning - Machine Learning
Not enough data
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Categories
Categories
Shared Categories
Torch and scikit-learn are categorized as Machine Learning
Unique Categories
Torch is categorized as Artificial Neural Network
scikit-learn has no unique categories
Reviews
Reviewers' Company Size
Torch
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
Computer Software
42.9%
Information Technology and Services
14.3%
Telecommunications
7.1%
Research
7.1%
Mental Health Care
7.1%
Other
21.4%
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
Discussions
Torch 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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