This repository is a community-driven collection of Linux command documentation in Chinese, presented as a static website. It includes a build system (scripts/build.mjs) that reads Markdown files from the command/ directory, generates a JSON index (dist/data.json), compiles Stylus to CSS, renders EJS templates to HTML, and produces a deployable static site. The project also generates offline documentation in Dash docset format (scripts/dash.mjs) and publishes an npm package (linux-command) containing the command index. The site is deployed to GitHub Pages, Vercel, Netlify, and as a Docker image. The architecture is a static site generator with a client-side search widget, dark mode, and copy-to-clipboard functionality. It is not a traditional application but a documentation platform with a well-structured build pipeline and multiple distribution channels.
This repository is a comprehensive, community-maintained cheat sheet for favicon sizes, types, and best practices. It covers everything from minimal modern setups (SVG favicons with dark mode support, 180x180 apple-touch-icon, manifest.json) to exhaustive legacy browser support across iOS, Android, Windows, and older browsers. The README includes detailed HTML markup, image creation instructions, ICO file specifications, helpful tools, and a FAQ. The only other file is a PDF (FaviconGuides.ai), an Adobe Illustrator vector graphic that visually documents favicon sizes. There is no executable code or software; the repo is purely a static reference document. Its quality lies in the depth, accuracy, and practical utility of the information, which is regularly updated to reflect modern standards.
PayloadsAllTheThings is a curated knowledge base of web application security payloads, bypass techniques, and exploitation methodologies. It is organized by vulnerability type (e.g., SQL Injection, XSS, SSRF, SSTI, File Inclusion) with each category containing a README.md explaining the technique, references to original research, and subdirectories for payload wordlists (Intruder/), exploit scripts (Files/), and diagrams (Images/). The repository also includes methodology guides for Active Directory, cloud pentesting, and privilege escalation. While primarily a static reference, it contains hundreds of standalone exploit scripts (Python, PHP, Ruby, shell) and configuration files (e.g., .htaccess, web.config) that can be directly reused in penetration testing engagements. The content is actively maintained with recent commits and CI/CD workflows, though some payloads reference older CVEs and may require adaptation for modern environments. This is a hybrid resource: a research-oriented payload collection with embedded executable components.
This repository is a React TypeScript cheatsheet that serves as a reference guide for developers. It consists of markdown documentation files in /docs that are processed to generate a README.md and a Docusaurus website. The site covers React and TypeScript topics including hooks, components, context, refs, and concurrent rendering features. The architecture uses Docusaurus for static site generation with custom styling and redirects. Key operational aspects include automated README generation via genReadme.mjs, CI validation of formatting, and deployment to Netlify.
This repository powers https://cheats.rs/, a single-page interactive reference for the Rust programming language. Built with the Zola static site generator, it combines a massive Markdown content file (`content/_index.md`) with custom HTML, SCSS, and JavaScript to deliver a highly interactive cheat sheet. Core features include tabbed panels, memory-layout visualizations (using custom HTML tags like `<datum>` and `<memory-row>`), a day/night mode, an inline code playground, and an X-Ray feedback system that collects per-section sentiment via an external API. The build pipeline is orchestrated by a Gitea Actions workflow that runs Zola, post-processes with PostHTML (inlining assets), generates a PDF with Playwright, and deploys to S3 with Cloudflare cache purging. The codebase is well-structured for its domain, with clean separation of styling (SCSS), client-side logic (vanilla JS), and build scripts. It is actively maintained and demonstrates strong craftsmanship in creating a rich, offline-capable documentation experience, though its single-file content source is fragile and the heavy external dependency on api.cheats.rs poses a risk if the API goes down.
This repository is the canonical source of tldr-pages, a community-maintained collection of simplified man pages for command-line tools. It contains tens of thousands of Markdown files organized by language and platform, each providing concise usage examples for a CLI command. The repository also includes a suite of validation scripts, a build system for generating indexes and archives, and a client specification for consuming the pages. While primarily a documentation project, the tooling (Node.js and Python scripts) constitutes a small application layer that ensures consistency, quality, and automated releases. The repo supports translations in over 30 languages, with strict formatting and linting enforced by CI/CD pipelines. It is not a standalone application but the authoritative dataset and tooling for the tldr ecosystem.
pysheeet is a comprehensive Python cheat sheet and reference repository. Although it is classified as an application because it contains a Flask web server and operational scripts, its dominant character is educational reference content: a Sphinx-built documentation site with runnable, tested code examples under `src/basic/`, covering core Python, asyncio, concurrency, networking, security, databases, C/C++ extensions, and more recent LLM/HPC topics. The repository also ships a Claude Code plugin that exposes the cheat sheets as AI skills. Beyond documentation, the repo contains real operational artifacts for distributed LLM work: Slurm/Docker launch scripts for vLLM, SGLang, and TensorRT-LLM, Megatron training recipes, NCCL broadcast benchmarks, and Ray-on-Slurm patterns. These scripts demonstrate practical HPC skills such as EFA/NCCL tuning, multi-node container orchestration, and profiling with nsys/VizTracer. The code quality is solid overall: examples are well-structured, many have pytest coverage, and the Flask serving layer is security-conscious. The main weaknesses are duplication across LLM vendor scripts, hardcoded cluster-specific paths, and documentation that occasionally references older Python or library versions, which creates moderate technical drift.
This repository maintains a comprehensive Python cheatsheet available as a web application and printable PDF. The core content resides in README.md, which is converted to a multi-page website via parse.js. The web version features interactive elements like theme switching and a table of contents, and includes live-updating data visualizations (e.g., COVID-19 trends) refreshed by update_plots.py. Supporting scripts handle PDF generation, index creation, and table format conversion. While the cheatsheet content is exceptionally well-curated, the supporting codebase consists of specific-purpose scripts with moderate coupling, limiting broad reuse outside this project.
This repository implements a web application that serves as a comprehensive cheat sheet for CSS easing functions. Built with TypeScript, Pug, and CSS, it provides interactive visualizations of various easing functions along with their CSS and JavaScript implementations. The application features internationalization support, PWA capabilities with service workers, and a responsive design. Key architectural concerns include modular separation of concerns between helpers, components, and core logic, with build optimization via Parcel-bundler.
This repository provides an xontrib (plugin) for the Xonsh shell that adds a `cheatsheet` command to open the project's README.md in a web browser. The README.md serves as a comprehensive cheat sheet for the Xonsh shell, covering installation, basics, and advanced topics. The repository also includes an example script demonstrating how to make web requests, process output, and use colored output in Xonsh.
This repository is a curated list of over 150 red teaming tools and resources, organized by MITRE ATT&CK categories (Reconnaissance, Resource Development, Initial Access, etc.). It contains no original source code; instead, it provides descriptions, installation instructions, usage examples, and links to external tools. The README is the sole deliverable, serving as a comprehensive reference for red team operators. While not a software application itself, it functions as a catalog of applications. The backlog file contains a few additional URLs and notes for future additions. The repository is well-maintained with active issue triage and recent commits, but its value lies in curation rather than code craftsmanship.
This repository is a comprehensive educational reference and cheat sheet for 42 School's C programming curriculum. It contains extensive documentation covering C basics, common mistakes, clean coding practices, development tools, curated learning resources, and tutorials on optimization, graphics, and security. The repository also includes a collection of standalone C/C++ code examples demonstrating various programming techniques (SIMD vectorization, multithreading, bit manipulation, socket programming) and a set of remote coding challenges with automated testing. While not a deployable application, it serves as a valuable learning resource and provides reusable code snippets, particularly the SIMD abstraction header for fast word/line counting.
This repository is a comprehensive OSCP pentesting cheatsheet composed of markdown notes and diagrams. It serves as a reference guide for penetration testing methodologies, covering enumeration, privilege escalation, web application testing, Active Directory attacks, and more. While not containing executable code or data processing pipelines, it curates actionable information from various security resources into an organized format. The content is structured as checklists and step-by-step guides for common pentesting tasks, making it immediately applicable for individuals preparing for the OSCP certification or conducting real-world assessments. The repository does not ingest or transform external datasets; instead, it represents synthesized knowledge intended for direct consumption. Despite lacking traditional data engineering components, the repository demonstrates value as a knowledge artifact. Its maintenance is active with recent updates, and the static nature ensures zero technical drift. Reproducibility is trivial as the entire content is self-contained within the repository.
This repository is not a software application, data pipeline, or research codebase. It is a content-distribution repository for a single educational artifact: a 'VIP cheatsheet' PDF condensing Stanford CME 295 (Transformers & Large Language Models). The repo contains 16 language folders, each holding one PDF and one translated README, plus a root README and an MIT license. There is zero executable code, no tests, no CI/CD, no dependency manifests, and no data processing logic of any kind. It is classified as data_research only by process of elimination — binary data files dominate and there are no application entry points — but in reality it is educational content, a hybrid that fits neither software nor data-engineering categories cleanly.
This repository is an educational cheatsheet/documentation project that provides code examples for ECMAScript features from ES2015 through ES2025. It is not a production application but rather a reference collection of JavaScript feature demonstrations organized by ECMAScript version. The code examples are designed to be run with Babel Node and serve as learning materials for developers exploring new JavaScript features. The architecture is a flat file structure with examples organized in versioned directories (es2015/, es2016/, etc.). Each .js file contains self-contained examples demonstrating specific language features like arrow functions, classes, promises, async/await, and newer features like Temporal API and Iterator Helpers. The repository uses Babel for transpilation support and includes a GitHub Actions workflow for generating documentation artifacts. This is primarily a documentation/educational resource rather than a reusable code library. The examples are intentionally simple and lack production-grade patterns like error handling, testing, or abstraction layers. They serve their purpose as learning materials but should not be directly imported into production codebases.
This repository is a comprehensive collection of red teaming tactics, techniques, and procedures (TTPs) presented as markdown cheatsheets and guides. It is not a software application or data pipeline; rather, it is a knowledge base containing hundreds of embedded code snippets (bash, PowerShell, Python, Go, Rust, C, etc.) organized by platform (Linux, Windows, macOS, Cloud, ICS, Web). The repo includes a few standalone tools such as an Azure subdomain enumeration Metasploit module, a Flask-based C2 redirector container, a PDF generation script, and a PAM module for credential harvesting. The primary value is as a reference for offensive security operators, not as a runnable application. Architecture is document-based with no API, CLI entry point, or library exports. External dependencies are minimal (mostly system tools).
This repository is a comprehensive DevOps reference guide and cheatsheet collection, not a production application. It contains hundreds of markdown files covering topics such as Docker, Kubernetes, CI/CD tools (Jenkins, GitHub Actions, CircleCI), infrastructure provisioning (Terraform, Ansible, Puppet), cloud providers (AWS, Azure, GCP), networking, Linux, observability (Prometheus, Grafana), and interview preparation. The codebase includes a few illustrative examples (a Node.js Express app with Dockerfile, a bash system management script, Apache configuration snippets) but is overwhelmingly documentation. The content is organized by tool with consistent subdirectories (concepts, commands, tutorials), though many files are stubs or incomplete. The repository serves as a learning roadmap and quick reference, but suffers from outdated references (e.g., Node 10, Python 2), broken links, and inconsistent quality. It is not a runnable system and has no data pipelines or analytical models.
This repository is a comprehensive collection of Android interview questions and answers, organized into topics such as Java basics, Android fundamentals, advanced Android, computer networks, operating systems, databases, data structures and algorithms, and non-technical interview questions. It is purely a documentation resource with no executable code, build scripts, or data pipelines. The content was last updated around 2020 and is now deprecated, with the author promoting a paid version in a separate knowledge planet. While the repository provides a broad coverage of interview topics, it lacks any software components, making it useful only as a reference for interview preparation. It is not a software application or a data research project.
This repository is primarily a curated list (awesome list) of cheatsheets for various technologies, programming languages, tools, and domains. The only executable code is a simple Python script (`tests/url_validate.py`) that validates the URLs in the README.md file to ensure links are not broken. The project uses a Travis CI configuration (now deprecated) with Python 2.7 to run this validation. While the list itself is popular and actively updated, the software component is minimal and not designed for reuse as a standalone application. The architecture is trivial: a single script that parses markdown links and makes HTTP requests. There are no reusable components beyond the URL validation pattern, which could be extracted for other markdown link checking tasks.
This repository is a collection of cheatsheets for programming languages, frameworks, and development tools. It is not a software application, data pipeline, or research project. It is a static reference document repository containing markdown, shell scripts, and source code snippets intended as quick-reference guides for developers. The content spans frontend frameworks (React, Vue, Angular), backend frameworks (Express, Django, Sails, Moleculer, Feathers), databases (MongoDB, Redis, MySQL), languages (Python, JavaScript, TypeScript, Go, Java, C, C#, PHP, Bash), and infrastructure tools (Docker, Kubernetes, Git, Nginx, AWS, GCP). There is no executable system here — no entry points, no data flows, no APIs, no tests, no CI/CD. It is purely informational content. The repository has 46K+ stars and 6.7K forks, indicating high community value as a reference resource. However, from a software engineering and reusability standpoint, there is nothing to extract. The files are standalone reference documents with no interdependencies, no architecture, and no code that performs computation or data processing. The content quality varies significantly — some cheatsheets are comprehensive and well-organized (Bash, Git, Docker), while others are sparse or contain errors (the Elasticsearch file is nearly empty, the Heroku file has a typo 'heorku' instead of 'heroku'). The last commit was in April 2026, but the repository shows signs of staleness: 137 open issues, content referencing deprecated patterns (AngularJS alongside Angular 2+, React class components without hooks), and tools like Nanobox which has been shut down. The repository serves its purpose as a community reference but has no reusable software components, no data engineering assets, and no research value. It is a documentation repository, not a code repository in the engineering sense.