# Installer maigret avec Homebrew, MacPorts, Nix Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de maigret pour les workflows d'agents IA. ## installation ```sh sudo av install brew:maigret ``` Commandes d'installation supplémentaires: ### macOS - Homebrew (100%): ```sh brew install maigret ``` Preuve: local Homebrew formula metadata - MacPorts (94%): ```sh sudo port install maigret ``` Preuve: MacPorts ports tree: python/maigret/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ### Linux - Nix (92%): ```sh nix profile install nixpkgs#maigret ``` Preuve: nixpkgs package indexes: pkgs/by-name/ma/maigret/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 ## Faits du paquet - **Clé du paquet:** brew:maigret - **Gestionnaire de paquets:** Homebrew - **Version:** 0.6.3 - **Résumé source:** Collect a dossier on a person by username from thousands of sites - **Page d'accueil:** - **Dépôt:** - **Dernière mise à jour:** 2026-07-14T18:47:20Z - **Généré:** 2026-08-03T19:37:03+00:00 ## exécutables - maigret (alias) - update_sitesmd (alias) ## Comportement d'installation - Bouteille: non disponible ## Version et fraîcheur - page générée: 2026-08-03 - version du gestionnaire: 0.6.3 ## Historique du projet et usages Maigret is a Python OSINT tool for collecting a username-centered dossier by checking account presence and profile pages across thousands of sites. Its official README emphasizes username-only searches, no API-key requirement for normal scans, report generation, a web interface, and Python-library embedding. ### Historique du projet The public GitHub repository was created in June 2020. By its first listed GitHub release in January 2021, Maigret had settled into the package shape familiar to CLI users: install with pip, run `maigret USERNAME`, and emit reports for offline review. The project grew from a simple account-checking utility into a maintained OSINT framework with a large site database, recursive search, tag filtering, Tor/I2P and proxy support, a web UI, and optional AI-assisted report summarization. Official settings documentation describes a bundled site database plus a higher-priority auto-updated database downloaded into `~/.maigret/data.json` when available. ### Historique d'adoption Maigret has become a visible package in the OSINT CLI ecosystem: the repository metadata shows tens of thousands of GitHub stars, and the README links PyPI, Docker, cloud-shell, standalone Windows, and web-interface usage paths. The input package-manager facts also show availability through Homebrew, MacPorts, and Nix. The README lists professional OSINT and social-media analysis tools built on Maigret, including Social Links API, Social Links Crimewall, and UserSearch, which is unusually explicit upstream evidence of downstream adoption for this kind of tool. ### Modes d'utilisation Typical package-manager usage is direct: install the package, run `maigret username`, then choose report formats such as HTML, PDF, XMind, JSON, CSV, text, graph, or Neo4j output. Power users narrow searches with tags, scan all sites with `-a`, run the bundled web UI, or import Maigret as a Python library. For operations work, the package matters because it bundles and updates a large site database, can work through proxy/Tor/I2P paths, and can be run without per-site API credentials. Optional AI analysis uses an OpenAI-compatible key from settings or `OPENAI_API_KEY`. ### Pourquoi les passionnés de paquets s'y intéressent Maigret is the kind of Homebrew/Nix/PyPI package that turns a messy web-investigation workflow into a repeatable CLI artifact: one executable, a maintained data file, reproducible report formats, and enough knobs to fit CI, containers, and local analyst machines. Its significance is also in its maintenance burden. Username-search tools decay as sites change, so Maigret's auto-updated database, site metadata, and self-check/development workflow are central to why package users track releases rather than treating it as a static script. ### Chronologie - 2020: Public GitHub repository created. - 2021: First listed GitHub releases appear. - 2022: v0.4.x releases continue the Python CLI package line. - 2025: v0.5.0 release published. - 2026: v0.6.x releases published, with active repository updates. ### Related projects - The README links `soxoj/socid_extractor` as part of Maigret's profile-information extraction story. - In package-manager culture, Maigret sits near other username and OSINT tools such as Sherlock, while distinguishing itself with richer reporting, a larger site database, and a web UI. ### Sources - - - - - source_facts.package-manager ## Notes de sécurité Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour maigret. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable. ## Configuration and credential file locations These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval. ## Configuration files - Unix: ~/.maigret/settings.json, settings.json ## Credential files - Unix: ~/.maigret/settings.json, settings.json ## Autres enregistrements de gestionnaires de paquets - Nix - maigret: normalized package name match | nixpkgs package indexes: pkgs/by-name/ma/maigret/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 - MacPorts - maigret: normalized package name match | MacPorts ports tree: python/maigret/Portfile from https://api.github.com/repos/macports/macports-ports/git/trees/master?recursive=1 ## Combined YAML source View the package source record on GitHub. [combined/maigret.yml](https://github.com/mxcl/pkgdb/blob/main/combined/maigret.yml) ## Sources - pkg.so package database - Geiger risk classifier - curated configuration and credential file locations - curated package history - pkgdb category and tag curation - external package-manager database matches - cross-ecosystem install command graph