🚦 Analyze traffic and air quality trends in smart cities to drive urban planning and pollution management with data-driven insights.
🛒 Faker provider for generating e-commerce fake data - products, orders, payments, shipping
🤖 Faker provider for generating AI/ML fake data - models, companies, frameworks, datasets
Faker is a Python package that generates fake data for you.
Up-to-date simple useragent faker with real world database
leblanc is a modular Python library designed for the rapid generation of large-scale synthetic datasets across various business sectors. It is primarily built using Pandas, NumPy, and Faker to create realistic, structured DataFrames suitable for Data Science training, testing, and exploratory data analysis (EDA).
AD 域控与数据通信网络的统一技术文档平台，覆盖架构设计、部署实施、安全加固与日常运维，帮助你快速搭建与维护稳定可靠的企业网络环境。
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
🥪🏭 A simple CLI for generating synthetic Jaffle Shop data.
Obscur is a user-friendly desktop app for removing and obfuscating sensitive file metadata. Protect your privacy and control your digital footprint—privacy tools for everyone.
Production-grade Retail ETL & Analytics Pipeline — automated, monitored, and business-aware.
Create files with fake data. In many formats. With no efforts.
Lightweight Python/Selenium automation validating core eCommerce flows in Advantage Online Shopping with structured test logic, reusable action modules, dynamic Faker-generated customer data, and a clean framework design.
Librería en Python para la validación y generación de documentos de identidad españoles (DNI, NIE, CIF, NIF), así como la creación de nombres y personas ficticias válidas para entornos de desarrollo, QA y pruebas automatizadas.
🧠 Model-driven synthetic test data for CI/CD and analytics - deterministic, privacy-preserving, and domain-aware. Includes Python APIs, XML pipelines, and MCP/IDE integration to orchestrate realistic datasets for finance, healthcare, and other regulated environments.
Robust Parking Management REST API with Django 5.2 & DRF. Features Clean Architecture (Service Layer), 96% Test Coverage, RQL Filtering, and Dockerized deployment.
A FastAPI + Streamlit app that shows how to ground LLM answers in organizational data using RAG, complete with synthetic data generators, FAISS indexes, and an ops-style dashboard
Burp Faker helps you generate unique or custom fake data directly in Burp Suite requests.
Add a description, image, and links to the faker topic page so that developers can more easily learn about it.
To associate your repository with the faker topic, visit your repo's landing page and select "manage topics."