This is a full-stack web application for performing open-source intelligence (OSINT) analysis on any website. The system runs 40+ checks encompassing DNS, SSL/TLS, HTTP security headers, mail configuration (SPF/DKIM/DMARC), social media presence, trackers, blocklists, threat feeds, carbon footprint, tech stack, and more. The frontend is built with Astro and React, featuring a reactive results view with a masonry grid, advisory panel, and progress bar. The backend is a Node.js Express server (also serverless-friendly) with individual API handlers per check, wrapped in a common middleware layer for error handling, rate limiting, and skip logic. The application is designed for self-hosting and supports deployment to Vercel, Netlify, Docker, Render, and Fly.io. It relies on many external sources (DNS, WHOIS, SSL Labs, HIBP, Google Safe Browsing, Shodan, etc.) and uses Puppeteer/Chromium for headless browser tasks. The codebase demonstrates a clean modular architecture, reusable UI components, and a novel analysis rule system that transforms raw data into structured findings with severity levels.
archinstall is a Python application and library for automated and interactive installation of Arch Linux. In production it runs as a root-level CLI/TUI wizard via the `archinstall` console script, guiding users through disk partitioning, LUKS/LVM encryption, BTRFS subvolumes, bootloader installation (systemd-boot, GRUB, limine), network configuration, user/sudo creation, mirror selection, pacman settings, and desktop/server profile installation. The same core is exposed as a reusable library, with entry points in `archinstall/scripts/guided.py`, `minimal.py`, and `only_hd.py`, and JSON configuration/credentials files enabling fully automated, headless installs. The installer orchestrates real system tools such as `parted`, `lsblk`, `pacman`, `systemd-nspawn`, `btrfs`, and `lvm`, and validates configuration with Pydantic and dataclass models.
Supervizer is a Node.js process manager that provides CLI and RESTful API interfaces for spawning, stopping, and managing Node.js applications. It follows a client-server architecture where the supervizer-client communicates with a supervizer-server via HTTP to manage application processes. The server maintains application state in memory, supports process monitoring, file watching for automatic restarts, grouping of applications, and secure authentication. Key features include keeping applications alive on crash, resource monitoring (CPU/memory), log and PID file management, and JSON-based configuration persistence.
This repository is a curated list of open-source sysadmin tools, functioning as a knowledge base rather than an executable application. It contains no source code, API endpoints, or data processing pipelines. The content consists entirely of Markdown documentation linking to external software projects across categories like backups, monitoring, configuration management, and virtualization. The PR template explicitly redirects contributions to a separate repository (`awesome-sysadmin-data`), indicating this repo may serve as a mirror or legacy interface while the active data management occurs elsewhere. The repository structure is flat, containing only documentation files (README.md, LICENSE.txt) and GitHub issue templates. There are no executable components, unit tests, or dependency manifests. While the content is valuable for discovery, it lacks the engineering substance required for software reuse. The metadata (links, descriptions, licenses) is static and human-curated, making it a dataset of software recommendations rather than a data pipeline. The repository is actively maintained based on the provided commit history (2026-06-20), though the workflow is split between this repo and the `-data` variant. Technical drift is minimal as Markdown content does not degrade, though external links may rot over time. Reproducibility is high as the content is static and fully documented within the file itself.