Open-source alternatives to EagleEye

SeetaFaceEngine is a C++ face recognition engine designed to detect, align, and identify human faces. It functions as a native library that performs facial analysis without relying on external third-party software libraries. The system utilizes a convolutional neural network framework for facial feature extraction and identity matching, representing identities as numerical feature-vector embeddings. It employs a funnel-structured cascade schema for real-time face localization and stacked auto-encoder networks to normalize facial orientation through landmark alignment. The toolkit integrates

Openface is a deep learning toolkit designed for facial recognition and identity verification. It provides a comprehensive pipeline for detecting faces, aligning landmarks, and transforming facial images into compact numerical vectors. By utilizing these embeddings, the system enables identity classification and similarity comparison through geometric distance calculations. The project distinguishes itself by integrating research-oriented diagnostic tools alongside its core recognition capabilities. It includes utilities for visualizing high-dimensional feature clusters, inspecting internal c

Deepface is a comprehensive deep learning library for facial recognition and demographic analysis. It provides a modular pipeline that handles the entire lifecycle of facial processing, including detection, geometric alignment, and the transformation of facial images into high-dimensional numerical vector embeddings for identity verification and similarity comparison. The library distinguishes itself through a model ensemble approach, which combines predictions from multiple pre-trained neural networks to improve classification accuracy and reduce bias. It also integrates advanced security fe

Mr.Holmes is an open-source intelligence investigation framework designed to gather public data from phone numbers, usernames, IP addresses, and domains. It functions as a collection of tools for digital footprint analysis and social media reconnaissance. The system integrates several specialized capabilities, including a search engine dorking tool for uncovering hidden public records and a geolocation utility for identifying the physical location and ownership of network addresses. It also includes a social media reconnaissance system that scrapes and links public profiles using usernames an

Snoop is an open-source intelligence framework designed for username scanning, digital footprint analysis, and geospatial intelligence gathering. It functions as a modular scanner that identifies profiles associated with specific usernames and nicknames across thousands of public websites to map a target's online presence. The system features a plugin-based extension architecture that allows for the addition of new platform scrapers and data sources. It provides specialized capabilities for evidence archiving, such as capturing HTML snapshots of discovered profiles and resolving numeric coord

FaceNet is a facial recognition framework designed to transform facial images into high-dimensional numerical embeddings for identity verification and recognition. It provides a deep learning face embedder that maps facial features into a Euclidean space where distance corresponds to facial similarity. The system includes tools for both supervised and unsupervised identity management. It features a face identity classifier for categorizing images into known identity classes and an unsupervised clustering tool to group similar facial embeddings together without predefined labels. The framewor

Social Mapper is an open-source intelligence framework designed to gather and structure digital footprints from social media networks. It functions as a platform for correlating online identities across multiple platforms, enabling the construction of a unified digital profile for a specific subject. The tool distinguishes itself by integrating automated facial recognition to verify identities, comparing target photographs against profile pictures found during the search process. This capability allows for the filtering of search results to improve the accuracy of identity correlation before

Fawkes is an adversarial image generator and facial recognition cloaking tool designed to protect privacy by obfuscating facial features in photos. It functions as an image privacy obfuscator that adds invisible pixel perturbations to images, preventing facial recognition models from accurately identifying a person while keeping the image visually clear to humans. The system employs adversarial perturbation mapping and feature-space obfuscation to mislead machine learning classifiers. By utilizing an iterative optimization loop and model-agnostic noise generation, it modifies facial represent

This project is a computer vision-based security platform designed for real-time property surveillance and automated threat detection. It integrates live video stream management with neural network processing to monitor, track, and identify individuals within a monitored environment. The system distinguishes itself through local identity management, which allows users to train classifiers on specific individuals and store facial embeddings directly on the local system. By combining this biometric analysis with event-driven logic, the platform can differentiate between known persons and unknow

CompreFace is a facial recognition system designed for human face detection, identification, and biometric identity verification. It provides a registry of known people and the ability to match faces in images against this database to determine a specific identity. The system extracts facial landmarks to map geometry and analyzes physical attributes including age, gender, and head pose. It can also verify whether two different images belong to the same individual. The project is implemented as a microservice-based deployment utilizing a REST API gateway and a PostgreSQL metadata store. It in

Twint is an open-source intelligence and data extraction framework designed to gather public social media information. It functions as a command-line utility that retrieves posts, user profiles, and follower lists directly from web interfaces, bypassing the need for official platform developer credentials or authentication keys. The tool distinguishes itself by enabling automated, large-scale data collection through terminal-based orchestration. It supports granular filtering by keywords, geographic locations, time ranges, and account status, allowing researchers to build targeted datasets fo

This project is a scripting framework designed for task automation and computer vision processing. It functions as an automated messaging bot for communication platforms and a tool for detecting and identifying human faces within digital images. The framework utilizes a series of algorithms to isolate facial landmarks and perform pattern analysis on digital frames. It integrates with communication services to monitor incoming data streams, allowing for the execution of predefined logic in response to user requests. The system manages data through a sequential buffer to ensure orderly process

This project is a containerized search infrastructure designed to deploy a privacy-focused metasearch engine. It acts as a self-hosted search proxy that aggregates results from multiple external web, image, and academic search providers while anonymizing requests and stripping trackers to protect user identity. The system utilizes Docker to orchestrate the search instance, integrating caching mechanisms and reverse proxy support to ensure a private and efficient search environment. It employs a modular adapter-based integration to standardize diverse external API responses and a processing pi

This project is a Python-based web scraping tool and command line image downloader designed to automate the retrieval of images from Google Images. It functions as an image dataset collector, allowing users to gather large sets of images for data analysis or research through a terminal interface or programmatic scripts. The tool features advanced search filtering to restrict results by file format, color, size, aspect ratio, and usage rights. It also supports reverse image search to find visually similar media based on a provided URL and offers search scope expansion to increase result volume

Pixiv-Shaft is a mobile application for browsing, searching, and downloading artwork and novels from Pixiv. It wraps Pixiv's internal API endpoints with authentication, rate limiting, and response parsing, and manages concurrent downloads with pause, resume, retry, and batch processing capabilities using a priority-based queue. The application also includes a dedicated novel reader that renders Pixiv novels with chapter navigation, bookmarking, and R18 content handling. The application distinguishes itself through multi-account session management, allowing users to manage multiple Pixiv login

Pixez-flutter is a cross-platform mobile application designed for browsing, searching, and downloading digital artwork from external platforms. It provides a comprehensive interface for managing remote media collections, including support for viewing illustrations, manga, and animated content. The application handles user authentication and session persistence to ensure a consistent experience across different devices. The project distinguishes itself through a sophisticated network management layer that enables users to bypass regional restrictions and network limitations. By utilizing custo

Viseron is a self-hosted network video recorder and open-source video surveillance platform that processes live network camera streams locally. It combines video capture with computer vision analytics to monitor properties, record footage, and execute automated event triggers. The platform incorporates artificial intelligence models for automated object detection, facial recognition, and license plate identification. It manages motion detection through configurable viewing zones that initiate recordings and system-wide alerts. The software operates through a modular component architecture

JavaCV provides a Java-based interface for native computer vision and video processing libraries. It functions as a wrapper for native vision libraries, allowing Java applications to perform image analysis, object detection, and video stream processing. The project integrates comprehensive computer vision capabilities, including facial recognition, image segmentation, and optical flow analysis for motion tracking. It also provides tools for hardware geometry calibration and projector-camera alignment to ensure accurate spatial representation. The system covers high-performance media renderin

LocalAI is a local generative AI platform and inference engine designed to host large language, vision, and audio models on private hardware. It functions as an API compatible gateway that mimics proprietary service endpoints, allowing existing third-party software to integrate with a self-hosted backend. The platform distinguishes itself as a distributed AI model orchestrator, capable of scaling inference across machine clusters using VRAM-aware routing and hardware coordination. It provides a unified interface for diverse open-source backends and supports self-hosted RAG infrastructure thro

yesitsme is an Instagram OSINT search tool and identity mapping system used to locate social media profiles. It functions as a social media reconnaissance utility that correlates personal identifiers with account data to aid in digital investigations. The tool enables the discovery of Instagram accounts by matching target names, email addresses, or phone numbers against indexed records. This process allows for digital identity verification and contact-based user lookup to confirm if a specific person has a presence on the platform. The system incorporates an asynchronous request queue to man

lite.ai.toolkit is a C++ computer vision toolkit designed for edge AI deployment. It enables the execution of pre-trained models for object detection, image classification, and segmentation on resource-constrained devices. The project features a multi-backend inference engine that supports the ONNX model runtime, allowing AI models to run across different hardware targets. It includes a GPU-accelerated pipeline specifically for NVIDIA hardware to reduce latency and increase processing speed. The toolkit covers a broad range of facial analysis capabilities, including emotion detection, gender

ShuiZe_0x727 is an open-source intelligence gathering framework and attack surface management tool. It functions as an asset discovery engine and cyber intelligence aggregator designed to identify internet-facing assets, map network infrastructure, and visualize total network exposure. The project integrates vulnerability scanning and sensitive data leak detection to identify security weaknesses and unauthorized access points. It employs a combination of network space API queries, certificate log analysis, and public repository scanning to extract leaked credentials, API keys, and internal ad

This project is a curated collection of frameworks, libraries, and toolsets designed for social engineering and public data gathering. It aggregates specialized software and educational materials used to perform human-centric attacks during professional security engagements. The directory provides resources for gathering and visualizing open source intelligence to identify sensitive information leaks. It also includes a collection of methods and software for executing phishing campaigns to harvest credentials and session cookies. The repository further covers educational materials focused on

This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It dis

This project is a privacy-focused, self-hosted metasearch engine that aggregates results from a wide array of web, academic, and media sources into a single, unified interface. By acting as a proxy between the user and external search providers, it strips identifying headers and tracking parameters from requests, ensuring that search activity remains anonymous and protected from third-party profiling. The platform distinguishes itself through a modular, plugin-based architecture that allows for extensive customization of search behavior, result filtering, and interface branding. It supports a

Ente is a privacy-focused platform for end-to-end encrypted storage and two-factor authentication management. It functions as a zero-knowledge identity provider, ensuring that all cryptographic operations, key derivation, and data encryption occur locally on the user's device. By maintaining this architecture, the service provider remains unable to access or decrypt any stored personal information or authentication credentials. The platform distinguishes itself through a combination of on-device intelligence and resilient data distribution. It utilizes a local machine learning engine to perfo

UserScripts is a collection of JavaScript browser userscripts designed to modify website behavior and add custom functionality to web browsers. It serves as a multi-purpose toolset for web page content automation, web interface enhancement, and specialized web scraping and downloading. The project distinguishes itself through a wide range of specialized utilities, including a browser-based text transformer for character encoding and terminology mapping, and tools for bypassing content censorship. It provides advanced web scraping capabilities such as deciphering obfuscated download links, agg