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 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 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.py --records 500 --output listings....
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....
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. Features Deduplicates entries based on product ID and title Standardizes inconsistent date and price formats Extracts and validates product URLs from raw HTML snippets Filters out-of-stock or expired promotions based on timestamps Exports cleaned data to CSV or JSON with configurable schemas Usage import amazon_gift_optimizer optimizer....
We just released 1 Year Synthetic Bank Transaction Data — . What it does Usage Download CSV: oddshop.work/downloads/synthetic-bank-transactions-1yr.zip Get it Download 1 Year Synthetic Bank Transaction Data for $39 → Built by OddShop — Python automation tools for developers and small businesses.
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....