Syft Awake 🚀

See who's online and ready to collaborate in your SyftBox network

What is it?

Syft Awake helps coordinate live collaboration on SyftBox - the open-source platform for privacy-first AI development. Check who's online before starting federated learning experiments, research sessions, or collaborative development.

Quick Start

pip install syft-awake

import syft_awake as sa

# Ping someone to see if they're online
response = sa.ping_user("colleague@university.edu")
if response:
    print(f"{response.responder} is {response.status}")

# Find everyone who's currently online
responses = sa.ping_network()
online_now = [r.responder for r in responses]
print(f"Online: {', '.join(online_now)}")

Use Cases

🧪 Research Coordination

# Check if collaborators are available before starting experiments
research_team = ["alice@university.edu", "bob@lab.org"]
responses = sa.ping_network(research_team)
if len(responses) >= 2:
    print("Enough researchers online - let's start the federated learning!")

🤝 Live Development Sessions

# See who's available for pair programming or code review
responses = sa.ping_network()
for r in responses:
    if "development" in r.capabilities:
        print(f"{r.responder} is available for development work")

📊 Distributed Computing

# Find compute nodes with light workload for your job
responses = sa.ping_network()
available_nodes = [r for r in responses if r.workload == "light"]
print(f"Found {len(available_nodes)} available compute nodes")

API

Just two simple functions:

ping_user(email, timeout=30) → AwakeResponse or None
ping_network(emails=None, timeout=15) → List[AwakeResponse]

Auto-installs and auto-discovers network members. Works silently in the background.

How It Works

• Automatic: Simply importing the library installs the SyftBox app
• Private: Uses SyftBox's secure, file-based communication
• Decentralized: No central servers - direct peer-to-peer pings
• Smart Discovery: Finds other users by scanning your local SyftBox network

Perfect for coordinating real-time collaboration in privacy-preserving AI research and development.

License

Apache 2.0