Real Time Bidding (RTB) - Demand Side Platform framework
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Updated
Sep 9, 2026 - C++
Real Time Bidding (RTB) - Demand Side Platform framework
Curated list of awesome Real Time Bidding ( RTB) frameworks, libraries, resources and other related to RTB things
Open Source Ad Serving Platform with ML-Powered CTR Prediction | Self-hosted alternative to Google Ad Manager | Python, FastAPI, PyTorch
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
🚀 Supercharge your Ads.
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.
`GitHub` `Markdown` `ADINT` `Research` - ADINT: a field guide to ad-tech surveillance. How advertising data (MAID, RTB bidstream, SDK location) becomes warrantless intelligence.
Video.js plugin to easily integrate AWS MediaTailor's Server Side Ad Integration (SSAI).
AdMapix — AI-powered ad intelligence & mobile app analytics. Search ad creatives, analyze competitor strategies, track rankings across 200+ countries. SimilarWeb/Sensor Tower/AppGrowing alternative.
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.
High-Frequency Real-Time Bidding Engine optimized for second-price auctions
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.
✅ Streamlit validator for ads.txt and app-ads.txt partner declarations. Multi-threaded bulk domain auditing with SSL fallback, soft-404 detection, partial match diagnostics, and error triaging. Built for AdOps workflows. Supports DIRECT/RESELLER validation, and CSV export.
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.
End-to-end recommender system for feed ads using user behavior + transaction logs, supporting single-objective and multi-objective ranking
🔧 Streamlit app for validating and optimizing ads.txt and app-ads.txt files. Auto-fix duplicates and syntax errors, detect malformed records, analyze account types and certification usage. Multi-source ingestion with CSV/JSON export for AdOps compliance workflows.
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