syft-objects 0.3.0

Share files with explicit mock vs private control

🔐 Syft Objects

Share files with explicit mock vs private control

Quick Start

import syft_objects as syo

# Create an object with demo and real content
obj = syobj(
    name="AI Results",
    mock_contents="Model achieved good performance",
    private_contents="Accuracy: 94.5%, Cost: $127"
)

# Browse all your objects interactively
syo.objects

# Search for specific objects
syo.objects.search("financial")

What It Does

Mock vs Private Pattern: Every object has two versions:

• Mock: What everyone sees (demo/sample)
• Private: What authorized users see (real data)

Example:

obj = syobj(
    name="Customer Data",
    mock_contents="Sample: 100 customers, avg age 42",
    private_contents="Full: 47,293 customers, avg age 41.7, LTV $1,247"
)

Interactive Object Browser

# Browse all objects with search and selection
syo.objects

# Search by name, email, description, or metadata
syo.objects.search("financial")

# Filter by email
syo.objects.filter_by_email("andrew")

# Get specific objects
selected = [syo.objects[i] for i in [0, 1, 5]]

Installation

pip install syft-objects

For SyftBox integration:

pip install syft-objects[syftbox]

Key Features

• One function: syobj() - simple and clean
• Explicit control: You decide what goes in mock vs private
• Beautiful display: Rich HTML widgets in Jupyter
• Interactive browsing: Search and select objects easily
• Unique filenames: No collisions when creating objects with same name
• Real-time updates: New objects appear immediately

License

Apache License 2.0