Yadget

Yadget: Yet another Data Generator is a data generation tool designed to help creators quickly generate large volumes of synthetic data to test and validate digital products. It supports multiple domains and formats, making it useful for ML/AI model training, SQL seed data, fintech simulations, crypto scenarios, and payments testing. Yadget emphasizes generating diverse, realistic data at scale with options for templates, data types, and various output formats.

How to Use Yadget

1. Sign Up / Sign In to access your workspace (optional for some free capabilities).
2. Choose Data Generator or Templates to start generating data.
3. Select Data Types & Formats (e.g., CSV, JSON, SQL inserts, Excel) and configure fields, distributions, and constraints.
4. Generate Rows and review the preview.
5. Export the generated dataset in your preferred format and integrate with your project or database.

Data Types and Formats

• Structured data types for ML/AI, SQL testing, analytics, and fintech simulations.
• Templates for common domains (e.g., user profiles, transactions, logs, sensor data, crypto/payments events).
• Output formats including CSV, JSON, SQL, Excel, and others as supported by the platform.

How It Works

• Define data schemas or select ready-made templates.
• Configure field distributions (e.g., normal, uniform, pseudo-random), constraints, and relationships.
• Generate synthetic data that aligns with realistic patterns while preserving privacy.
• Export data for testing, benchmarking, or validation tasks.

Safety and Legal Considerations

• Use synthetic data to avoid exposing real user information.
• Ensure generated data respects privacy and regulatory requirements for your use case.

Core Features

• Quick generation of large volumes of synthetic data across multiple formats
• Rich templates for ML, SQL, fintech, crypto, and payments testing
• Flexible field definitions, distributions, and constraints
• Multiple output formats (CSV, JSON, SQL, Excel, etc.)
• Ability to generate data for testing, validation, and benchmarking purposes
• Free-tier and plan options with data generation limits
• User-friendly interface with workspace and project organization
• Privacy-focused: synthetic data avoids exposure of real user data

Why Use Yadget

• Accelerates data preparation for development and testing
• Enables reproducible datasets for consistent experiments
• Supports diverse domains and formats to fit various pipelines