🚀 Generate high-quality synthetic data with ease using TeraGen AI!
TeraGen AI Data Generator is a powerful, cloud-native tool designed to generate high-quality synthetic data for:
✅ Application Testing
✅ QA Environments
✅ Machine Learning & AI Training
✅ Data Privacy Compliance
This solution eliminates the need to use sensitive production data, making it ideal for secure testing and development workflows.
Ensure you have Docker installed on your system. You can install Docker from:
🔗 Docker Official Website
To pull the latest version of TeraGen AI Data Generator, run:
docker pull teragenai/teragenai-data-generator
Run the container with:
docker run -d --name teragenai-generator teragenai/teragenai-data-generator
If you want to map a port (optional), use:
docker run -d -p 8080:8080 --name teragenai-generator teragenai/teragenai-data-generator
Once running, access the application at:
🔗 http://localhost:8080
To generate synthetic data, run the following command:
docker run --rm \
-v $(pwd):/app/output \
teragenai/teragenai-data-generator:latest \
--prompt "Generate synthetic data for a financial report" \
--samples 5000000
Generate user profile data:
docker run --rm \
-v $(pwd):/app/output \
teragenai/teragenai-data-generator:latest \
--prompt "Generate 100 synthetic user profiles" \
--samples 100000
Generate IoT sensor data:
docker run --rm \
-v $(pwd):/app/output \
teragenai/teragenai-data-generator:latest \
--prompt "Generate IoT sensor readings for environmental monitoring" \
--samples 5000
Generate e-commerce transaction data:
docker run --rm \
-v $(pwd):/app/output \
teragenai/teragenai-data-generator:latest \
--prompt "Generate 500 synthetic e-commerce transactions" \
--samples 500000
TeraGen AI can generate various structured and unstructured data, including:
✔ User Profiles (Name, Email, Address, etc.)
✔ Transaction Data (Payments, Banking, E-Commerce)
✔ IoT Sensor Data
✔ Custom Schema-Based Data
For more details, refer to the official documentation (Coming Soon).
🔗 TeraGen AI Data Generator on DockerHub
We welcome contributions! If you’d like to contribute:
- Fork the repository
- Create a feature branch (
git checkout -b feature-name
) - Commit your changes (
git commit -m "Added feature"
) - Push to the branch (
git push origin feature-name
) - Open a Pull Request
If you encounter any issues or have feature requests, reach out to us:
📧 Email: [email protected]
This project is licensed under the MIT License. See the LICENSE file for details.
🔹 Stay connected & follow TeraGen AI for updates! 🚀