Pangol1

High-performance SVG reporting engine for massive tabular datasets

Generate reports and SVG charts from CSV, TSV, Parquet and more built for very large datasets.

Features

• 📊 Generate SVG charts from tabular data
• 📄 Create complete analytical reports
• ⚡ Handle massive datasets using Parquet
• 🗂 Support multiple data sources:
  • CSV
  • TSV
  • TXT
  • XLSX
  • JSON
  • XML
  • Parquet
• 🖼 Export your charts to SVG
• 📑 Export your reports to HTML, PDF or Markdown

Why Pangol1?

Most reporting tools struggle with very large datasets or generate heavy visual outputs.

Pangol1 is designed to:

• process large tabular files efficiently,
• generate lightweight SVG visualizations,
• produce portable reports suitable for analytics workflows.

Massive data in, lightweight visuals out.

Requirements

Before running Pangol1, install:

• Java JDK 21+
• Git
• VS Code (recommended)

Check Java installation:

java --version

Installation

Clone repository:

git clone https://github.com/jules1univ/Pangol1.git
cd Pangol1

Build & Run

Compile manually:

javac -cp "lib/*" application/Pangol1.java

Run:

java -cp ".:lib/*" application.Pangol1

Or use generated JAR:

java -jar Pangol1.jar

Dependencies

Pangol1 uses:

• FlatLaf modern UI theme
• DuckDB JDBC in-memory database for data processing
• JUnit testing
• Batik SVG to PNG conversion
• OpenHTMLToPDF HTML to PDF conversion
• JavaFX HTML rendering in WebView

Documentation

• Full Documentation
• Contributing Guide
• Project Members

License

Distributed under the MIT License.

See LICENSE for more information.