What is OpenAssistant?
OpenAssistant is a comprehensive toolkit for building AI-powered spatial data analysis and GIS applications. It provides a rich set of tools that can be integrated with popular AI frameworks like Vercel AI SDK, LangChain, and Anthropic.
Philosophy
OpenAssistant v1.0.0 is built on three core principles:
Browser-First: All tools run directly in the browser using WebAssembly and modern web technologies, ensuring data privacy and eliminating the need for backend infrastructure.
Framework Agnostic: Tools can be easily converted to work with any AI framework through a simple adapter pattern.
Modular Architecture: Use only what you need. Each tool is published as a separate package, allowing you to keep your bundle size minimal.
Architecture Overview
OpenAssistant v1.0.0 consists of three main categories of packages:
Tools
AI-powered tools for spatial analysis and data processing:
- @openassistant/duckdb - SQL query execution in the browser
- @openassistant/geoda - Spatial statistics and analysis
- @openassistant/map - Map data manipulation and visualization tools
- @openassistant/osm - OpenStreetMap data access and routing
- @openassistant/places - Location search and geotagging
- @openassistant/plots - Statistical visualizations
- @openassistant/h3 - Hexagonal spatial indexing
Components
React components for visualization and UI:
- @openassistant/assistant - AI assistant chat interface
- @openassistant/echarts - ECharts visualization components
- @openassistant/keplergl - Kepler.gl map components
- @openassistant/leaflet - Leaflet map components
- @openassistant/vegalite - Vega-Lite chart components
- @openassistant/tables - Data table components
- @openassistant/hooks - Reusable React hooks
- @openassistant/common - Common UI utilities
Utils
Utility functions for tool management and data exchange:
- @openassistant/utils - Tool cache, output management, and conversion utilities
Use Cases
OpenAssistant is ideal for:
- Spatial Data Analysis: Perform complex spatial statistics and analysis in the browser
- GIS Applications: Build interactive mapping applications with AI assistance
- Data Exploration: Let AI help users explore and analyze their spatial datasets
- Location Intelligence: Integrate location-based services into your applications
- Business Intelligence: Create AI-powered dashboards with spatial data visualizations
Next Steps
- Getting Started - Set up your first OpenAssistant project
- Architecture Deep Dive - Learn about the internal architecture
- Tools Overview - Explore available tools
- API Reference - Browse the complete API documentation