Usage Download CSV: oddshop.work/downloads/synthetic-bank-transactions-1yr.zip Requirements Python 3.8+. Install dependencies: pip install -r requirements.txt Download Buy for $39 → Buy once, download immediately. ZIP includes the full script, README, and usage examples. License Personal & Commercial Use. You may use this tool in your own personal and commercial projects. Redistribution or resale of the source code is not permitted.
Usage Download CSV: oddshop.work/downloads/synthetic-patient-records-10k.zip Requirements Python 3.8+. Install dependencies: pip install -r requirements.txt Download Buy for $39 → Buy once, download immediately. ZIP includes the full script, README, and usage examples. License Personal & Commercial Use. You may use this tool in your own personal and commercial projects. Redistribution or resale of the source code is not permitted.
Usage Download CSV: oddshop.work/downloads/synthetic-mls-listings-500.zip Requirements Python 3.8+. Install dependencies: pip install -r requirements.txt Download Buy for $29 → Buy once, download immediately. ZIP includes the full script, README, and usage examples. License Personal & Commercial Use. You may use this tool in your own personal and commercial projects. Redistribution or resale of the source code is not permitted.
Generates synthetic bank transaction records with realistic amounts, dates, merchant categories, and account details. Perfect for developers building financial applications who need test data without using real customer information. Outputs to CSV, JSON, or Excel formats. Features Generate transactions with realistic amounts following banking patterns Create multiple account types with different spending behaviors Include merchant categories like groceries, utilities, entertainment Control date ranges and transaction frequency parameters Export to CSV, JSON, or Excel with customizable column formats Usage python generate_transactions....
Generates HIPAA-compliant synthetic patient data including demographics, medical history, and clinical records. Perfect for healthcare software testing, database seeding, and application development without using real patient information. Features Generate realistic patient demographics with names, addresses, DOB, SSN Create medical histories with conditions, medications, allergies, and procedures Produce lab results, vital signs, and clinical notes with proper formatting Export to CSV, JSON, or Excel formats with configurable record counts Customize data patterns to match specific healthcare scenarios and demographics Usage python generate_records....
Generates HIPAA-compliant synthetic patient records with realistic demographics, medical histories, and clinical data. Perfect for healthcare software testing, database seeding, and application development without using real patient data. Features Generate thousands of unique patient records with realistic names, DOB, SSN, and addresses Create comprehensive medical histories including conditions, medications, allergies, and procedures Produce lab results, vital signs, and clinical notes with proper medical terminology Export to CSV, JSON, or Excel formats with configurable field mappings Customize demographic distributions and medical condition prevalence by age/gender Usage python generate_records....
Generates HIPAA-compliant synthetic patient data with realistic demographics, medical histories, and clinical records. Perfect for healthcare software testing, database seeding, and application development without using real patient information. Features Generate thousands of unique patient records with realistic names, DOB, SSN, and addresses Create comprehensive medical histories including conditions, medications, allergies, and procedures Produce lab results, vital signs, and clinical notes with proper medical terminology Export to CSV, JSON, or Excel formats with configurable field mappings Customize demographic distributions and medical condition prevalence by age/gender Usage python generate_records....