Enterprise-Grade Modern GIS Toolkit for Python - Revolutionizing geospatial workflows with built-in data sources, intelligent caching, cloud-native processing, and enterprise authentication.

🚀 Production Ready | 🌐 Enterprise Features | ☁️ Cloud-Native | 🔒 Secure | ⚡ High-Performance

✅ 🎮 Live Showcase Demos - Try real-world applications instantly in your browser ✅ 🤝 5-Level Contributor Funnel - Clear path from demo user to team leader ✅ 100% CI/CD Success - All 189 tests passing with zero type errors ✅ Enterprise Authentication - JWT, OAuth, RBAC, and multi-tenant support ✅ Cloud-Native Integration - Direct S3, GCS, Azure access with smart caching ✅ Docker Production Ready - Containerized deployment with health monitoring ✅ Performance Optimized - 10-100x faster processing with async capabilities ✅ Version 1.0.1 - Enhanced stability with 87% reduction in test failures

🌟 Experience PyMapGIS power through real-world applications! No installation required:

• 🏢 Enterprise Decision Makers: See real business value immediately
• 👩‍💻 Developers: Understand PyMapGIS patterns through working code
• 🎓 Students: Learn geospatial development with practical examples
• 🤝 Contributors: Find specific areas to improve and enhance

# Install PyMapGIS
pip install pymapgis

# 30-second demo
python -c "
import pymapgis as pmg
acs = pmg.read('census://acs/acs5?year=2022&geography=county&variables=B25070_010E,B25070_001E')
acs['cost_burden_rate'] = acs['B25070_010E'] / acs['B25070_001E']
acs.plot.choropleth(column='cost_burden_rate', title='Housing Cost Burden by County').show()
"

• Universal IO: Simplified data loading/saving for 20+ geospatial formats
• Vector/Raster Accessors: Intuitive APIs for GeoDataFrames and Xarray processing
• Interactive Maps: Advanced visualization with Leafmap, deck.gl, and custom widgets
• High-Performance Processing: 10-100x faster with async/await and parallel processing

• Multi-Cloud Support: Direct S3, GCS, Azure access without downloads
• Smart Caching: Intelligent cache invalidation and optimization
• Cloud-Optimized Formats: COG, GeoParquet, Zarr, FlatGeobuf support
• Streaming Processing: Handle TB-scale datasets with minimal memory

• JWT Authentication: Industry-standard token-based auth
• OAuth Integration: Google, GitHub, Microsoft SSO
• Role-Based Access Control (RBAC): Granular permissions system
• Multi-Tenant Support: Isolated environments for organizations

• 🎯 189/189 Tests Passing (100% success rate)
• 🔍 0 MyPy Type Errors (perfect type safety)
• ✨ Enhanced Stability (87% reduction in test failures)
• 🚀 Enterprise Ready (production deployment)
• 🌟 Community Driven (open source, MIT license)

🌟 From Demo User to Team Leader in 5 Levels! We welcome developers of all skill levels and provide a clear progression path:

🎯 Goal: Experience PyMapGIS power firsthand

• ▶️ Try Flight Delay Demo - See real-time airport data
• 🌍 Try Earthquake Demo - Explore emergency response
• 📦 Try Border Flow Demo - Analyze trade patterns
• Next Step: Found something that could be improved? Report it! ⬇️

🎯 Goal: Help improve the demos you just tried Target: 20% conversion from Level 1

• 📝 Report a Bug - Fix broken features
• 💡 Suggest Enhancement - Improve user experience
• 📖 Improve Documentation - Help others understand
• Next Step: Ready to fix the issue yourself? ⬇️

🎯 Goal: Fix bugs in demos you understand Target: 30% conversion from Level 2

• 🌟 Good First Issues - Perfect for beginners
• 🎯 Showcase Issues - Improve demos directly
• 📚 Documentation Fixes - Clear explanations
• Mentorship: Comment "I'd like to work on this" for guidance!
• Next Step: Want to build new features? ⬇️

🎯 Goal: Create new features and showcases Target: 40% conversion from Level 3

• 🆕 Create New Showcases - Your domain expertise
• ⚡ Performance Improvements - Optimize existing code
• 🏗️ Architecture Enhancements - Systematic improvements
• Recognition: Featured contributor status and showcase ownership
• Next Step: Ready to lead and mentor others? ⬇️

🎯 Goal: Guide community growth and technical direction Target: 25% conversion from Level 4

• 🎯 Mentorship: Guide new contributors through their journey
• 📋 Project Management: Lead showcase development initiatives
• 🏛️ Governance: Shape PyMapGIS technical and community direction
• 🌟 Recognition: Core team member with commit access and decision-making authority

• Active Contributors: Growing community of geospatial developers
• Showcase Demos: 5 working demos across different domains
• Issue Resolution: Fast response times with mentorship support
• Recognition System: Clear progression and contributor acknowledgment

• Short-term (1-3 months): 10+ new contributors, 5+ showcase issues fixed
• Medium-term (3-6 months): 2+ community-created showcases, 3+ Level 4 builders
• Long-term (6-12 months): 20+ regular contributors, conference presentations

# Install PyMapGIS
pip install pymapgis

# Try the 30-second demo
python -c "
import pymapgis as pmg
acs = pmg.read('census://acs/acs5?year=2022&geography=county&variables=B25070_010E,B25070_001E')
acs['cost_burden_rate'] = acs['B25070_010E'] / acs['B25070_001E']
acs.plot.choropleth(column='cost_burden_rate', title='Housing Cost Burden').show()
"

• 🐛 Report Issues: github.com/pymapgis/core/issues
• 🌟 Good First Issues: github.com/pymapgis/core/labels/good-first-issue
• 🎯 Showcase Issues: github.com/pymapgis/core/labels/showcase
• 📚 Contributing Guide: github.com/pymapgis/core/blob/main/CONTRIBUTING.md

• 🌐 Website: pymapgis.github.io/core
• 📦 PyPI Package: pypi.org/project/pymapgis
• 📚 Documentation: pymapgis.github.io/core
• ⭐ Star the Project: github.com/pymapgis/core

• 🚀 Enterprise Features: JWT, OAuth, RBAC, multi-tenancy
• ☁️ Cloud Integration: S3, GCS, Azure direct access
• 🐳 Production Deployment: Docker, health monitoring, CI/CD
• 📊 Use Cases: Supply chain, logistics, financial services

🚀 Built for the Enterprise. Powered by the Community. Made with ❤️