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 Torch.
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 Torch.
Pricing
Entry-Level Pricing
Torch
No pricing available
scikit-learn
No pricing available
Free Trial
Torch
No trial information available
scikit-learn
No trial information available
Ratings
Meets Requirements
8.9
11
9.6
53
Ease of Use
8.9
11
9.6
53
Ease of Setup
8.1
9
9.6
41
Ease of Admin
8.3
9
9.4
39
Quality of Support
8.1
9
9.4
49
Has the product been a good partner in doing business?
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
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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
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