Scikit-learn vs TensorFlow

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

Feature

Scikit-learn

Machine Learning

TensorFlow

Machine Learning

Side-by-side comparison of developer tools
Machine learning in Python
End-to-end open source platform for machine learning
GitHub Stars
⭐ 65,613
⭐ 194,448
Contributors
👥 3,488
👥 5,045
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
C++
Features
  • • Data Analysis
  • • Data Science
  • • Machine Learning
  • • Python
  • • Statistics
  • • Deep Learning
  • • Deep Neural Networks
  • • Distributed
  • • Machine Learning
  • • Ml
Integrations
No integrations listed
No integrations listed
Momentum Score
88/100 (stable)
74/100 (stable)
Community Health
79/100 (good)
94/100 (excellent)
Maturity Index
93/100 (mature)
95/100 (mature)
Innovation Score
90/100 (pioneering)
95/100 (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

Scikit-learn Strengths

TensorFlow Strengths

  • ✓ More popular (194,448 stars)
  • ✓ Larger community (5,045 contributors)

More Comparisons

View Scikit-learn → View TensorFlow → Search More Tools →

Data source: GitHub API

Last updated: 4/5/2026