PyTorch vs Scikit-learn

Comprehensive side-by-side comparison of features, pricing, and metrics

Feature

PyTorch

Machine Learning

Scikit-learn

Machine Learning

Side-by-side comparison of developer tools
Tensors and dynamic neural networks in Python
Machine learning in Python
GitHub Stars
⭐ 98,790
⭐ 65,613
Contributors
👥 6,384
👥 3,488
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
Python
Features
  • • Autograd
  • • Deep Learning
  • • Gpu
  • • Machine Learning
  • • Neural Network
  • • Data Analysis
  • • Data Science
  • • Machine Learning
  • • Python
  • • Statistics
Integrations
No integrations listed
No integrations listed
Momentum Score
94/100 (stable)
88/100 (stable)
Community Health
94/100 (excellent)
79/100 (good)
Maturity Index
95/100 (mature)
93/100 (mature)
Innovation Score
95/100 (pioneering)
90/100 (pioneering)
Risk Score (higher is safer)
94/100 (minimal)
94/100 (minimal)
Developer Experience
78/100 (good)
78/100 (good)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

PyTorch Strengths

  • ✓ More popular (98,790 stars)
  • ✓ Larger community (6,384 contributors)

Scikit-learn Strengths

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Data source: GitHub API

Last updated: 4/5/2026