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uv add arcadedb-embedded # or: pip install arcadedb-embedded

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• Python 3.10–3.14 (packaged/tested on CPython 3.12) - No Java installation required!
• Supported Platforms: Prebuilt wheels for 4 platforms
  • Linux: x86_64, ARM64
  • macOS: Apple Silicon (ARM64)
  • Windows: x86_64

import arcadedb_embedded as arcadedb # Create database (context manager for automatic open and close) with arcadedb.create_database("./mydb") as db: # Create schema (DDL) db.command("sql", "CREATE DOCUMENT TYPE Person") db.command("sql", "CREATE PROPERTY Person.name STRING") db.command("sql", "CREATE PROPERTY Person.age INTEGER") # Insert data (requires transaction) with db.transaction(): db.command("sql", "INSERT INTO Person SET name = 'Alice', age = 30") # Query data result = db.query("sql", "SELECT FROM Person WHERE age > 25") for record in result: print(f"Name: {record.get('name')}")

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• ☕ No Java Installation Required: Bundled JRE (~63MB uncompressed)
• 🌍 4 Platforms Supported: Linux (x86_64, ARM64), macOS (ARM64), Windows (x86_64)
• 🚀 Embedded Mode: Direct database access in Python process (no network)
• 🌐 Server Mode: Optional in-process HTTP server with the Studio web UI — costs ~8MB of wheel and nothing at runtime until you call create_server()
• 📦 Self-contained: All dependencies bundled (~67MB current Linux wheel)
• 🔄 Multi-model: Graph, Document, Key/Value, Vector, Time Series
• 🔍 Multiple query languages: SQL, OpenCypher
• ⚡ High performance: Direct JVM integration via JPype
• 🔒 ACID transactions: Full transaction support
• 🎯 Vector storage: Store and query vector embeddings with HNSW (JVector) indexing
• 📥 Data import: Built-in CSV and ArcadeDB JSONL import

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• Wheel size (compressed): ~67MB
• ArcadeDB JARs (uncompressed): ~31MB across 63 JARs
• Bundled JRE (uncompressed): ~63MB (platform-specific Java 25 runtime via jlink)
• Installed package size: ~94MB

Apple brand store apple products best buy The compressed wheel size is measured from dist/*.whl, and the installed package size is measured from the extracted site-packages/arcadedb_embedded/ directory. How To Turn A Hobby Into A Job

Apple and csr home Of that, the optional server stack is 12 JARs, 7.65MB uncompressed, and it adds ~8MB to the wheel (the extra ~0.8MB beyond the JARs is JRE modules that only the server needs). Simple English Kid Story breaks the cost down and explains what you pay at runtime (nothing, until you start a server). Product Timeline Presentation

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Every phone company wants a walled garden as nice as apple s digital Tests run against the built wheel via the uv project at the repo root — no virtualenv activation needed, and uv run works from anywhere in the repo: IKEA Floor Plan

# Run all tests uv run pytest # Run specific test file uv run pytest tests/test_core.py -v

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cd bindings/python/ # Install uv (one-time) curl -LsSf https://astral.sh/uv/install.sh | sh # Build for your current platform (auto-detected) ./scripts/build.sh

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arcadedb_embedded/ ├── async_executor.py # Asynchronous command/query + record execution ├── core.py # Database and DatabaseFactory ├── exceptions.py # ArcadeDBError exception ├── exporter.py # Data export (JSONL, GraphML, GraphSON, CSV) ├── graph.py # Graph wrappers ├── graph_batch.py # GraphBatch high-throughput graph ingest wrapper ├── importer.py # Data import (CSV, XML, ArcadeDB JSONL) ├── __init__.py # Public API exports ├── jvm.py # JVM lifecycle management ├── _logging.py # Internal logging helpers ├── results.py # ResultSet and Result wrappers ├── schema.py # Schema management API ├── server.py # ArcadeDBServer for optional HTTP/Studio mode ├── transactions.py # TransactionContext manager ├── type_conversion.py # Python-Java type conversion utilities └── vector.py # Vector search and HNSW (JVector) indexing

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Apple unveils new products Both upstream ArcadeDB (Java) and this ArcadeDB Embedded Python project are licensed under Apache 2.0, fully open and free for everyone, including commercial use. Bank Secured Credit Card

• Documentation: Post-Launch Engagement
• PyPI: Youtube Business Cards
• CloneAGC: Point Of Sale Product Launch Teaser
• ArcadeDB Main Docs: Hobby Planner
• Issues: House Logos For Business Cards