tileset-analyzer 2.0.1

Analyze vector Tileset

Tileset Analyzer

A comprehensive tool for analyzing and optimizing vector tilesets to improve map rendering performance. Analyze MBTiles, Folder Tiles, PMTiles, and COMTiles formats with detailed metrics and interactive visualizations.

Table of Contents

• Overview
• Key Features
• Installation
• Quick Start
• Usage
• Architecture
• Technology Stack
• Development
• API Reference
• Troubleshooting
• Contributing
• License

Overview

Vector tile size significantly influences map rendering performance. TilesetAnalyzer provides the insights needed to optimize tilesets by:

• Analyzing tile metrics per layer and zoom level
• Visualizing size distributions with comprehensive statistics
• Identifying optimization opportunities to reduce tile size
• Comparing tileset versions before releasing major changes
• Assisting cartographers in stylesheet design through layer/attribute inspection

Use Cases

• Optimize specific layers to reduce average and maximum tile sizes
• Compare current tileset with previous versions before production release
• Inspect layers and attributes to assist with stylesheet design
• Identify problematic zoom levels or layers consuming excessive bandwidth
• Understand feature distribution and attribute usage across your tileset

Key Features

Tileset Information

• Layer Exploration: View all layers across zoom levels
• Attribute Inspection: Analyze geometry types, data types, value ranges, and sample values
• Interactive Map: Preview tiles with feature property inspection
• Format Support: MBTiles, Folder Tiles, PMTiles, COMTiles
• Compression Detection: Automatically identifies gzip or uncompressed tiles

Metrics & Analytics

• Tile Count Analysis: Distribution across zoom levels
• Size Aggregations: Min, max, average, sum, and percentiles (50th, 85th, 90th, 95th, 99th)
• Layer Contributions: Size breakdown by layer with percentage calculations
• Treemap Visualization: Hierarchical view of layer size contributions

Layer & Attribute Analysis

• Geometry type detection (Point, LineString, Polygon)
• Data type classification (string, numeric)
• Domain analysis (min/max for numeric attributes)
• Sample value collection (up to 100 distinct values per attribute)

Installation

Requirements

• Python: 3.9 or higher
• pip: Latest version recommended

Install from PyPI

pip install tileset-analyzer

Install from Source

git clone https://github.com/geoyogesh/tileset_analyzer.git
cd tileset_analyzer
pip install -e .

Verify Installation

tileset_analyzer --help

Quick Start

Analyze an MBTiles file and view results in the web UI:

tileset_analyzer \
  --source ./your-tileset.mbtiles \
  --temp_folder ./output \
  --actions process,serve \
  --scheme XYZ

Then open your browser to http://localhost:8080 to explore the results.

Usage

Basic Analysis

Analyze a tileset and save results to JSON:

tileset_analyzer \
  --source /path/to/tileset.mbtiles \
  --temp_folder ./results \
  --actions process

Analyze and Serve Web UI

Process the tileset and launch the interactive web interface:

tileset_analyzer \
  --source /path/to/tileset.mbtiles \
  --temp_folder ./results \
  --actions process,serve \
  --scheme XYZ

Folder Tiles

For folder-based tile structures:

tileset_analyzer \
  --source /path/to/tiles/{z}/{x}/{y}.pbf \
  --temp_folder ./results \
  --actions process,serve \
  --scheme TMS

MBTiles with Custom Table Schema

For MBTiles with non-standard table structure:

tileset_analyzer \
  --source ./custom.mbtiles \
  --temp_folder ./output \
  --actions process,serve \
  --scheme XYZ \
  --compressed False \
  --mbtiles_tbl tiles,x,y,z,data

Command-Line Options

Option	Description	Default	Required
--source	Path to tileset file or folder pattern	-	Yes
--temp_folder	Output directory for results	-	Yes
--actions	Comma-separated actions: process, serve	process	No
--scheme	Coordinate scheme: TMS or XYZ	TMS	No
--compressed	Whether tiles are gzip compressed	True	No
--mbtiles_tbl	MBTiles table schema: table,x,y,z,data	tiles,tile_column,tile_row,zoom_level,tile_data	No

Architecture

TilesetAnalyzer consists of two main components:

1. Python CLI Tool (Backend)

• Reads and parses vector tiles (Mapbox Vector Tile format)
• Performs comprehensive analysis using pandas and numpy
• Generates JSON output with metrics and metadata
• Serves results via FastAPI web server
• Pluggable architecture supports multiple tileset formats:
  • ✅ MBTiles (SQLite-based)
  • ✅ Folder Tiles (file system-based)
  • 🚧 PMTiles (coming soon)
  • 🚧 COMTiles (coming soon)

2. React Web UI (Frontend)

• Single-page application for interactive data exploration
• Real-time chart rendering with ECharts
• Interactive map preview with MapLibre GL JS
• Persistent settings with LocalForage
• Responsive design with AWS Cloudscape Design System

Technology Stack

Backend (Python)

• FastAPI ~0.88.0 - Modern web framework for API
• uvicorn ~0.20.0 - ASGI server
• pandas ~1.5.2 - Data analysis and aggregations
• numpy ~1.23.5 - Numerical computations and percentiles
• protobuf <=3.20.3 - Mapbox Vector Tile parsing
• parse ~1.19.0 - Pattern parsing for folder tiles

Frontend (React/TypeScript)

• React 18.2.0 - UI framework
• TypeScript 4.9.3 - Type-safe JavaScript
• AWS Cloudscape Components - Professional UI component library
• MapLibre GL ~2.4.0 - Interactive map rendering
• ECharts ~3.0.2 - Data visualization and charts
• Zustand ~4.3.3 - Lightweight state management
• React Router ~6.4.4 - SPA routing
• LocalForage ~1.10.0 - Persistent browser storage
• SCSS - Styling

Development

Setting Up Development Environment

1. Clone the repository:

   git clone https://github.com/geoyogesh/tileset_analyzer.git
   cd tileset_analyzer
   

2. Create virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install dependencies:

   pip install -e ".[dev]"
   

4. Frontend development (optional):

   cd webapp/tileset-analyzer-app
   npm install
   npm start  # Runs dev server on http://localhost:3000
   

Building the Frontend

To rebuild the React UI and package it with the Python tool:

cd webapp/tileset-analyzer-app
npm run build
# Built files are automatically copied to tileset_analyzer/static/ui/

Project Structure

TilesetAnalyzer/
├── tileset_analyzer/          # Python package
│   ├── api/                   # FastAPI server
│   ├── data_source/           # Tileset format implementations
│   ├── entities/              # Data models
│   ├── readers/               # Vector tile parsers
│   ├── static/                # Built UI and results
│   └── main.py                # CLI entry point
├── webapp/                    # React frontend source
│   └── tileset-analyzer-app/
└── docs/                      # Documentation and images

API Reference

CLI Commands

Main command:

tileset_analyzer --source <path> --temp_folder <output> [OPTIONS]

Options:

• --source (required): Path to tileset or folder pattern
• --temp_folder (required): Output directory for analysis results
• --actions: process (analyze), serve (web UI), or both (comma-separated)
• --scheme: TMS (default) or XYZ coordinate scheme
• --compressed: True (default) or False for tile compression
• --mbtiles_tbl: Custom MBTiles table schema (format: table,x_col,y_col,z_col,data_col)

Web API Endpoints

When running with --actions serve:

• GET / - Serves the web UI
• GET /tileset/{z}/{x}/{y}.mvt - Serves individual tiles for map preview
• Static files served from /tileset_analyzer/static/ui/

Output Format

Analysis results are saved as JSON in <temp_folder>/analysis_result.json:

{
  "tileset_info": {
    "name": "example",
    "type": "MBTiles",
    "scheme": "XYZ",
    "compressed": true,
    "total_size": 12345678
  },
  "layers": [...],
  "level_counts": [...],
  "level_sizes": [...],
  "layer_level_sizes": [...]
}

Screenshots

Layer Exploration

View all layers and their attributes across zoom levels:

Interactive Map View

Preview tiles on a map and inspect feature properties:

Tile Count Metrics

Analyze tile distribution across zoom levels:

Layer Size Analysis

Understand which layers contribute most to tileset size:

Treemap Visualization

Hierarchical view of layer size contributions:

Troubleshooting

Common Issues

Issue: ModuleNotFoundError: No module named 'tileset_analyzer'

• Solution: Ensure you've installed the package: pip install tileset-analyzer

Issue: Web UI doesn't load or shows blank page

• Solution: Check that --actions includes serve and browser is pointing to http://localhost:8080

Issue: "Permission denied" when reading tileset

• Solution: Verify file permissions and that the path is correct

Issue: Analysis fails with memory error on large tilesets

• Solution: TilesetAnalyzer loads the entire tileset into memory. For very large tilesets, ensure sufficient RAM or process subsets

Issue: Wrong tiles displayed on map

• Solution: Verify the --scheme parameter matches your tileset (TMS vs XYZ)

Getting Help

• Issues: Report bugs at GitHub Issues
• Documentation: Check the docs directory for additional resources

Roadmap

Future enhancements planned:

• Tileset comparison mode (compare two or more tilesets)
• Streaming analysis for large tilesets
• PMTiles format support
• COMTiles format support
• Export metrics to CSV/Parquet
• Historical analysis tracking
• Performance optimizations for memory usage
• API authentication options

Contributing

Contributions are welcome! To contribute:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Please ensure:

• Code follows existing style conventions
• New features include appropriate documentation
• Bug fixes include test cases when possible

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Built with FastAPI, React, and MapLibre GL JS
• Uses AWS Cloudscape Design System for UI components
• Mapbox Vector Tile specification support via protobuf

References

• Original repository: https://github.com/geoyogesh/tileset_analyzer
• Mapbox Vector Tile Specification: https://github.com/mapbox/vector-tile-spec