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Python Package Intelligence

Analyze Python packages from PyPI. Get health scores, maintenance insights, and adoption metrics for the Python ecosystem.

PyPI Ecosystem Overview

400,000+
Total Packages
100,000,000,000+
Monthly Downloads
85%
Average Health
Mature
Ecosystem Maturity

Popular Python Packages

requests

HTTP Client

92
health

Python HTTP for Humans.

10M+ downloadsAnalyze →

numpy

Scientific Computing

96
health

Fundamental package for array computing with Python

8M+ downloadsAnalyze →

pandas

Data Analysis

94
health

Powerful data structures for data analysis, time series, and statistics

7M+ downloadsAnalyze →

django

Web Framework

89
health

A high-level Python Web framework that encourages rapid development

5M+ downloadsAnalyze →

matplotlib

Data Visualization

91
health

Python plotting package

6M+ downloadsAnalyze →

flask

Web Framework

87
health

A simple framework for building complex web applications

4M+ downloadsAnalyze →

Why Python Packages?

🔬

Scientific Computing

Strong focus on data science, machine learning, and scientific applications

🎓

Educational Adoption

Widely used in education and academic research

📚

Extensive Libraries

Comprehensive collection of libraries for almost any use case

📊

Strong Data Focus

Excellent support for data processing, analysis, and visualization

Health Assessment Factors

RepoPulse evaluates Python packages based on these key indicators:

Release Cadence

High Priority

Regular releases and active development cycle

Python Version Support

High Priority

Compatibility with current Python versions

Maintenance Activity

Medium Priority

Active maintainer engagement and issue resolution

Community Adoption

Medium Priority

Download trends and community usage patterns

Analyze a Python Package

Enter any PyPI package name to get comprehensive health analysis and insights.

Explore Python Package Intelligence

Understand the health and maintenance status of Python packages. Make informed decisions about your Python dependencies.

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