@synapse-lang/core

🧠 Synapse Language - JavaScript/Node.js Wrapper

Revolutionary scientific programming language with quantum computing, AI assistance, real-time collaboration, and blockchain verification.

Installation

npm install @synapse-lang/core

Note: Synapse Language requires Python 3.8+ to be installed on your system.

Install Python Package

After installing the npm package, install the Python backend:

pip install synapse-lang

Or use the built-in installer:

npx synapse-lang --install

Features

• 🔬 Quantum Computing - Native quantum circuit design and simulation
• 🤖 AI Assistance - Intelligent code completion and error detection
• 👥 Real-time Collaboration - Multi-user collaborative coding
• 🔐 Blockchain Verification - Immutable research integrity
• 🌐 Distributed Computing - Scalable parallel execution
• 📱 Mobile Development - Cross-platform app framework
• 🎨 Visual Programming - Drag-and-drop interface
• 🔢 Type Inference - Advanced type system with uncertainty

Quick Start

CLI Usage

# Show help
npx synapse-lang --help

# Run demo
npx synapse-lang --demo

# Get package info
npx synapse-lang --info

# Install Python dependencies
npx synapse-lang --install

Library Usage

const SynapseLanguage = require('@synapse-lang/core');

// Create instance
const synapse = new SynapseLanguage();

// Run Synapse code
synapse.run(`
from synapse_lang.quantum_designer import QuantumCircuit

circuit = QuantumCircuit(2)
circuit.add_gate("H", [0])
circuit.add_gate("CNOT", [0, 1])
print(circuit.to_qasm())
`, (err, output) => {
    if (err) {
        console.error('Error:', err);
    } else {
        console.log('Output:', output);
    }
});

// Get package info
console.log(synapse.info());

Examples

Quantum Computing

const synapse = new SynapseLanguage();

synapse.run(`
from synapse_lang.quantum_designer import QuantumCircuit

# Create Bell state
circuit = QuantumCircuit(2)
circuit.add_gate("H", [0])
circuit.add_gate("CNOT", [0, 1])
circuit.measure_all()

results = circuit.simulate(shots=1000)
print(f"Results: {results}")
`, (err, output) => {
    console.log(output);
});

AI Code Assistance

synapse.run(`
from synapse_lang.ai_suggestions import AICodeAssistant

assistant = AICodeAssistant()
code = "def calculate_energy(mass):"
suggestions = assistant.analyze_and_suggest(code)

for suggestion in suggestions:
    print(f"Suggestion: {suggestion.description}")
    print(f"Code: {suggestion.code}")
`, (err, output) => {
    console.log(output);
});

Blockchain Verification

synapse.run(`
from synapse_lang.blockchain_verification import ScientificBlockchain

blockchain = ScientificBlockchain()
computation = {
    "algorithm": "quantum_vqe",
    "result": {"energy": -1.857}
}

record_hash = blockchain.add_computation_record(
    computation,
    "Dr. Smith",
    {"institution": "Research Lab"}
)

print(f"Verified: {blockchain.verify_computation(record_hash)}")
`, (err, output) => {
    console.log(output);
});

API Reference

new SynapseLanguage()

Creates a new Synapse Language instance.

synapse.run(code, callback)

Executes Synapse code.

• code (string): The Synapse/Python code to execute
• callback (function): Callback with (error, output) parameters

synapse.info()

Returns package information including version, features, and links.

synapse.checkPython()

Checks if Python is installed on the system.

Requirements

• Node.js >= 14.0.0
• Python >= 3.8
• pip (Python package manager)

Related Packages

• PyPI: synapse-lang
• Docker: michaelcrowe11/synapse-lang

Links

• GitHub: https://github.com/michaelcrowe11/synapse-lang
• Documentation: https://github.com/michaelcrowe11/synapse-lang#readme
• Issues: https://github.com/michaelcrowe11/synapse-lang/issues

License

MIT License - See LICENSE for details.

Author

Michael Benjamin Crowe

Made with ❤️ for the scientific computing community