Search for a Package
Repositories Analyzed
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Random sample sizeImport Instances
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Total import statements analyzedUnique Packages
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Distinct libraries discoveredLast Updated
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Data refreshes every 6 hoursTop 25 Python Packages
All Packages
| Rank | Package | Import Count | Percentage |
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Key Insights
AI/ML Dominance
Machine learning libraries like NumPy, PyTorch, and TensorFlow are among the most imported packages, reflecting Python's dominance in data science.
Web Frameworks
Django and Flask remain popular choices for web development, with Django showing particularly strong usage.
Data Processing
Pandas and NumPy form the backbone of data processing in Python, appearing in a significant percentage of repositories.
Visualization
Matplotlib remains the go-to visualization library, with strong adoption across scientific and data analysis projects.
How We Collect Data
We continuously analyze random Python repositories on GitHub to estimate package usage:
- Random sampling of repositories across different time periods
- Analysis of Python import statements using AST parsing
- Filtering of standard library imports
- Automated updates every 6 hours via GitHub Actions