Maigret is a username-based OSINT reconnaissance tool that checks across thousands of websites for accounts associated with a given username, extracts profile information via the socid_extractor library, and generates multi-format reports (HTML, PDF, CSV, JSON, Markdown, XMind, Neo4j, etc.). It operates as a CLI tool, an embeddable Python library, a Flask web application with live scan streaming, and a Docker image. The architecture is a monolith with a clean separation between site database management (MaigretDatabase/MaigretSite models), asynchronous checking engine (AsyncioQueueGeneratorExecutor, checkers for aiohttp, curl_cffi, Cloudflare bypass), extraction enrichment, and report generation. External dependencies include aiohttp, socid_extractor, curl_cffi, aiodns, and potentially FlareSolverr and OpenAI-compatible APIs (optional). The tool supports proxy/Tor/I2P routing, self-validation of site configurations, and auto-update of its site database. It is actively maintained, with frequent releases and a large community, and is used by professionals in OSINT, academic research, cryptocurrency investigations, and privacy analysis.
This repository is a curated collection of over 1000 OSINT (Open Source Intelligence) tools, services, and resources organized by category. It is not a software application itself, but a static list compiled in a README.md file with occasional supporting HTML pages for specific searches (court records, graves, hashtags). The repository contains no executable code, libraries, or frameworks—it serves purely as a reference directory. Weekly update HTML files track additions over time. While popular (8700+ stars), the repository offers zero reusable software components, architecture, or data pipelines. It is a flat list of links with brief descriptions, useful for human browsing but not for programmatic consumption or reuse as a codebase.