Generator

A Python CLI tool that creates professional, branded PDF sales receipts from exported order data. It’s for developers and small businesses who need to automate receipt delivery after processing payments via Stripe, PayPal, or custom platforms. Saves hours of manual work by batch processing orders from a simple data file. Features Batch generate PDFs from a CSV or JSON file Apply custom branding with logo, colors, and footer text Auto-calculate totals, taxes, and line items Support for multiple currencies and date formats Merge customer data and output organized receipt files Usage pdf_receipt_generator --input orders....

Generates synthetic employee records for testing applications, database seeding, and development environments. Creates realistic data including personal information, job details, and organizational structure. Perfect for HR systems, payroll applications, and employee management software testing. Features Generate thousands of realistic employee records with proper names and demographics Create structured data with departments, job titles, salary ranges, and reporting chains Export to CSV, JSON, or Excel formats with customizable field mappings Control data distribution patterns for realistic organizational hierarchies Include realistic employee attributes like hire dates, contact info, and location data Usage python generate_employees....

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....

Reads a CSV of user signups and activity logs, then generates a formatted Excel workbook with a retention cohort matrix. For Python developers analyzing product usage without BI tools. Saves hours of manual spreadsheet work. Features Reads user signup dates and activity logs from CSV Calculates weekly or monthly retention percentages Generates a formatted Excel workbook with a cohort matrix Applies conditional formatting to highlight retention trends Exports a summary sheet with key metrics (e....

This tool reads your Shopify product data and generates SEO-optimized meta descriptions by dynamically inserting values from your metafields. It’s for developers and store owners who want to leverage custom product data for better search results without manual editing. Saves time and improves page relevance. Features Parse Shopify product CSV/JSON exports — extracts titles, descriptions, and metafields Template engine for meta descriptions — uses {braces} to insert metafield values Bulk processing — generates descriptions for hundreds of products in one run Output to CSV or HTML — creates files ready for import or direct use Custom fallback values — defines text to use if a metafield is empty Usage metagen --input products....