ad-tech

Real Time Bidding (RTB) - Demand Side Platform framework

Open Source Ad Serving Platform with ML-Powered CTR Prediction | Self-hosted alternative to Google Ad Manager | Python, FastAPI, PyTorch

Curated list of awesome Real Time Bidding ( RTB) frameworks, libraries, resources and other related to RTB things

Open-source ad fraud detection for small businesses using machine learning. Detect click fraud and bot traffic from Google Ads, Facebook Ads, and other platforms. Completely free.

Real Time Bidding (RTB) - Demand Side Platform ( DSP ) application based on vanilla-rtb stack

Code Generators and Extensions for vanilla-rtb stack

A centralized hub for creative advertising, digital marketing solutions, and social media campaigns led by StoryKart Advertise.

MCP server for Google Ad Manager. Manage ad campaigns, orders, line items, and creatives through AI assistants like Claude, ChatGPT, Gemini, Cursor, and VS Code. Automate your ad operations with natural language instead of clicking through the GAM UI. Built by Matious.

🚀 Supercharge your Ads.

ADINT: a field guide to ad-tech surveillance. How advertising data (MAID, RTB bidstream, SDK location) becomes warrantless intelligence.

AdMapix — AI ad creative intelligence for mobile games & apps. Search 200M+ ads, competitor creatives, app rankings, downloads & revenue. MCP server + agent skill. https://www.admapix.com

Video.js plugin to easily integrate AWS MediaTailor's Server Side Ad Integration (SSAI).

Playable ads, built better. A TypeScript toolkit with fast development, automated assets, and multi-network delivery.

High-Frequency Real-Time Bidding Engine optimized for second-price auctions

OpenRTB linter: validates OpenRTB 2.x bid requests and bid responses against versioned IAB spec snapshots. Rust core, CLI, npm/WASM, MCP server.

Real-Time Bidding engine showcasing JDK 25 modern concurrency (Virtual Threads, ScopedValue)

Enterprise-grade broadcast intelligence platform. Real-time ad verification, audio fingerprinting, and automated video evidence clipping powered by AI.

Production-grade CTR prediction system with real-time inference, ranking models, MLOps pipeline, and scalable ad-click prediction architecture inspired by Google/Meta ad systems.

This project aims to predict the gender of individuals based on their app usage patterns. The project leverages data collected through a custom survey to train machine learning models. By analyzing various app usage statistics, such as time spent on different categories of apps, we aim to determine the user's gender with high accuracy.

🔍 Streamlit bulk scanner for ads.txt and app-ads.txt availability verification. Batch domain validation with soft-404 detection, line counting, timeout handling, and CSV export. Built for AdOps workflows requiring large-scale audits of IAB ad declaration files.