📊 Python Text Extraction Libraries

📊 Performance Visualizations

Comprehensive performance analysis across multiple dimensions including extraction time, memory usage, success rates, and throughput comparisons.

⚡ Performance Comparison

✅ Success Rate Analysis

🔥 Performance Heatmap

📁 Category Analysis

💾 Resource Usage Analysis

Memory consumption and CPU utilization patterns across different frameworks and document categories.

💾 Memory Usage

📊 Data Throughput

📦 Installation Analysis

Framework installation footprints, dependency counts, and storage efficiency comparison.

📦 Installation Sizes

📋 Detailed Reports

Access comprehensive benchmark reports in multiple formats with detailed metrics, analysis, and raw data.

• 🌐 Interactive HTML Report
• 📝 Markdown Report
• 📊 Raw JSON Metrics

🔗 Additional Resources

Explore the complete source code, methodology, and continuous integration pipeline that powers these benchmarks.

• 📂 Source Repository
• ⚙️ CI/CD Pipeline