{
  "name": "pg_igraph",
  "abstract": "High-performance native graph traversal engine for PostgreSQL with 200x+ speedup over recursive CTEs",
  "description": "pg_igraph is a native PostgreSQL extension that brings high-performance graph traversal capabilities directly into your database. It delivers 200x+ performance improvements through adaptive C-based algorithms, intelligent caching strategies, and optimized storage architecture. Version 1.1 introduces JSON parameters for dynamic queries, enhanced WHERE clauses with all comparison operators, multi-graph support with table prefixes, and a clean API response format perfect for library integration. Features include Cypher-like query language, REF system for external integration, and automatic execution strategy optimization.",
  "version": "1.1.0",
  "maintainer": "Eugene <ineron.spb@gmail.com>",
  "license": "mit",
  "provides": {
    "pg_igraph": {
      "abstract": "High-performance graph traversal engine with JSON parameters and multi-graph support",
      "file": "pg_igraph--1.1.sql",
      "version": "1.1.0"
    }
  },
  "prereqs": {
    "runtime": {
      "requires": {
        "PostgreSQL": "14.0.0",
        "pg_ilib": "1.0.0"
      }
    },
    "build": {
      "requires": {
        "PostgreSQL": "14.0.0",
        "pg_ilib": "1.0.0"
      }
    },
    "configure": {
      "requires": {
        "PostgreSQL": "14.0.0"
      }
    }
  },
  "resources": {
    "homepage": "https://github.com/your-org/pg_igraph",
    "bugtracker": {
      "web": "https://github.com/your-org/pg_igraph/issues"
    },
    "repository": {
      "url": "https://github.com/your-org/pg_igraph.git",
      "web": "https://github.com/your-org/pg_igraph",
      "type": "git"
    }
  },
  "generated_by": "Eugene",
  "meta-spec": {
    "version": "1.0.0",
    "url": "https://pgxn.org/meta/spec.txt"
  },
  "tags": [
    "graph",
    "traversal",
    "bfs",
    "shortest path",
    "performance",
    "cypher",
    "json parameters",
    "dynamic queries",
    "multi-graph",
    "social network",
    "recommendation",
    "analytics",
    "native",
    "c extension",
    "fast",
    "scalable",
    "library integration"
  ]
}