Doing remote data science with SyftBox
Project description
RDS
Requirements
Quick Install
Available on Pypi. Install with
uv pip install syft-rds
Or you can clone the repo and set the dev Python environment with all dependencies:
just setup
Getting Started
Run the Demo
The notebook notebooks/quickstart/full_flow.ipynb contains a complete example of the RDS workflow from both the Data Owner (DO) and Data Scientist (DS) perspectives.
This demo uses a mock in-memory stack that simulates SyftBox functionality locally - no external services required.
To run the demo:
just jupyter
Then open notebooks/quickstart/full_flow.ipynb and run through the cells.
The demo covers a basic remote data science workflow:
- Data Owner creates a dataset with private and mock (public) data
- Data Scientist explores available datasets (can only see mock data)
- Data Scientist submits code to run on private data
- Data Owner reviews and runs the code on private data
- Data Owner shares the results
- Data Scientist views the output
Development
Running Tests
# Run all tests
just test
# Run specific test suites
just test-unit
just test-integration
just test-notebooks
Building
# Build the wheel package
just build
# Bump version (patch/minor/major)
just bump patch
Cleaning Up
Remove generated files and directories:
just clean
Available Commands
See all available commands:
just --list
Project details
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