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.

click-fraud 开源项目推荐(22 个)
click-fraud 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 22 个仓库Javascript library to prevent Adsense click fraud.
Free, open-source PPC budget leak detector for Google & Meta Ads. Detects negative keyword gaps, search query bleed, click fraud, and zero-conversion spend.
Click-fraud protection for Google/Microsoft/Meta Ads: detects invalid clicks, excludes bad IPs upstream, compliant split-URL A/B testing with audience-based routing. No cloaking.
SearchBastion standalone click tracking snapshot. Dependency-free JavaScript with configurable endpoints for click and heatmap events.
Best invalid traffic detection
DataCops vs ClickGUARD
Best click fraud protection 2026
Best Google Ads fraud protection
Detect ad click fraud in real-time with a stacked ML ensemble (Random Forest, XGBoost, Neural Network, Logistic Regression)
DataCops vs TrafficGuard
DataCops vs Fraud Blocker
Official public repository for AdsProtego — ad fraud protection and traffic monitoring for Google Ads, Meta Ads, TikTok Ads and Microsoft Ads.
DataCops vs ClickCease
Traffic-integrity control plane for filtering fraudulent or low-trust clicks before they pollute analytics, attribution, and paid-efficiency reporting.
Best IVT detection
Ad Protect - Invalid-click protection & ad-serving gate for Umbraco 17 & 18: block bots/scanners by IP/CIDR/country/ASN, click budgets with auto cooldown. Free.
该项目在 GitHub 上没有填写描述
Best PPC fraud protection
Ad click-fraud detection measured against unseen bot families, an adaptive adversary, drifting traffic, and money lost — not just accuracy.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/click-fraud。
- 该话题在 GitHub 上共有 22 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 273 Star,覆盖 3 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。