Automation

We just released Fake Shopify Order Data Generator — generate thousands of realistic fake shopify orders for testing. What it does Generates realistic fake Shopify order records as CSV for app testing. Creates order data with customer info, product names, SKUs, quantities, prices, and order status using only Python standard library. Features Generate fake order IDs and timestamps Random customer names, emails, and shipping addresses Product names, SKUs, variants, and quantities Prices, discounts, taxes, and order totals Order status distribution (fulfilled, pending, refunded) Configurable record count via –records argument Usage python fake-shopify-order-data-generator....

We just released Marketplace Free Gift Data Optimizer — optimize and clean scraped amazon free gift data for analysis. What it does This tool processes and optimizes raw scraped data from Amazon.in free gift promotions. It’s for Python developers and data analysts who need to clean, deduplicate, and structure messy scraped data into a usable format. The key benefit is turning unstructured scraped output into clean, analysis-ready CSV or JSON files....

We just released Social Media Metrics Faker — generate realistic social media engagement data for testing and demos. What it does Creates fake social media metrics including likes, shares, comments, and followers with realistic patterns. Perfect for developers building social media dashboards, marketers creating mock reports, and testing analytics tools without real account access. Features Generate fake follower counts with realistic growth patterns Create authentic-looking engagement metrics (likes, comments, shares) Export data in CSV, JSON, or Excel formats Customizable platform selection (Instagram, Twitter, Facebook, TikTok) Configurable time ranges and metric distributions Usage python fake_metrics....

We just released Synthetic Bank Transaction Generator — create realistic bank transaction datasets for testing and development. What it does 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....

We just released Synthetic Patient Record Generator — create realistic medical records for testing and development. What it does 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....

We just released Synthetic Patient Record Generator — create realistic medical records for testing and development. What it does 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....

We just released Synthetic Patient Record Generator — create realistic medical records for testing and development. What it does 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....

Creates fake social media metrics including likes, shares, comments, and followers with realistic patterns. Perfect for developers building social media dashboards, marketers creating mock reports, and testing analytics tools without real account access. Features Generate fake follower counts with realistic growth patterns Create authentic-looking engagement metrics (likes, comments, shares) Export data in CSV, JSON, or Excel formats Customizable platform selection (Instagram, Twitter, Facebook, TikTok) Configurable time ranges and metric distributions Usage python fake_metrics....

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....