We just released 10,000 Synthetic Patient Records (HIPAA-safe) — . What it does Usage Download CSV: oddshop.work/downloads/synthetic-patient-records-10k.zip Get it Download 10,000 Synthetic Patient Records (HIPAA-safe) for $39 → Built by OddShop — Python automation tools for developers and small businesses.
We just released 500 Synthetic MLS Property Listings — . What it does Usage Download CSV: oddshop.work/downloads/synthetic-mls-listings-500.zip Get it Download 500 Synthetic MLS Property Listings for $29 → Built by OddShop — Python automation tools for developers and small businesses.
We just released Employee Record Generator — create realistic employee datasets with names, ids, departments, and salaries. What it does 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....
We just released Fake Real Estate Listing Generator — generate realistic fake mls property listings for testing and development. What it does Generates realistic fake real estate property listing records as CSV for app testing. Creates property data with MLS-style IDs, addresses, prices, square footage, bedrooms, bathrooms, and agent info. Features Generate MLS-style listing IDs and dates Property addresses with city and state Bedrooms, bathrooms, and square footage Listing price and days on market Agent name, brokerage, and contact info Configurable record count via –records argument Usage python fake-real-estate-listing-generator....
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....
We just released Professional Network Automation Rule Builder — build automation rules for linkedin engagement without browser scripting. What it does Creates rule-based automation workflows for LinkedIn activities using exported data files. Processes connection requests, messages, and content engagement based on custom criteria. Works with exported LinkedIn data to plan automated actions. Features Parse exported LinkedIn CSV data for contacts and activity history Create conditional rules for connection acceptance based on profile criteria Generate message templates for different contact categories Schedule engagement actions based on time intervals and user behavior Export action plans to standard formats for third-party automation tools Usage python linkedin_rules....