thehardwarestore.ai

s2n-tls is a C99 implementation of the TLS/SSL protocols designed by AWS for simplicity, small size, and security. It supports TLS 1.2 and 1.3, including features like 0-RTT early data, session tickets, post-quantum KEMs (ML-KEM, ML-DSA), and QUIC transport integration. The library provides a public C API (api/s2n.h) and multiple libcrypto backends (OpenSSL, AWS-LC, BoringSSL, LibreSSL). Extensive formal verification (CBMC, SAW, SideTrail) and fuzz testing ensure memory safety and constant-time execution. The architecture is highly modular with a stuffer buffer abstraction, blob/array utilities, a table-driven TLS extension framework, and a robust error-handling macro system. Rust bindings are first-class, offering safe wrappers (s2n-tls), async Tokio integration (s2n-tls-tokio), an HTTP client connector for Hyper (s2n-tls-hyper), and a metrics subscriber for handshake analysis. The library is used by AWS services like S3 and KMS, and includes interoperability tests against OpenSSL, GnuTLS, Java, and rustls. It is actively maintained with a sophisticated CI pipeline covering unit, integration, fuzz, formal proof, and performance regression tests across multiple platforms and libcrypto versions.

ethers.js is a production-grade TypeScript library for interacting with Ethereum-compatible blockchains, compiled to dual ESM and CommonJS packages with browser-specific module replacements (crypto, base64, geturl, ws, wordlists). The architecture is a modular facade: a top-level barrel (src.ts/index.ts) re-exports sub-modules for ABI encoding, address handling, contracts, crypto primitives, hashing, providers, transactions, utilities, wallets, and BIP-39 wordlists. The provider layer is the deepest abstraction — an AbstractProvider base class with polling/socket/filter-ID subscriber contracts, plus concrete implementations for JSON-RPC, WebSocket, IPC, browser-injected wallets (EIP-1193/6963), and community services (Infura, Alchemy, Etherscan, Chainstack, Ankr, QuickNode, Blockscout, Pocket, Cloudflare) with hardcoded community API keys and once-per-service throttle messages. Network-specific behavior is customizable through a plugin system (GasCostPlugin, EnsPlugin, FeeDataNetworkPlugin), and a FallbackProvider aggregates backends with quorum logic.

iPXE is an open-source network boot firmware that provides a full PXE implementation with enhanced capabilities. It operates as a pre-boot environment, replacing or supplementing traditional BIOS/UEFI PXE ROMs. The firmware supports booting over HTTP/HTTPS, iSCSI, Fibre Channel over Ethernet (FCoE), AoE, InfiniBand, and wireless networks, with full TLS 1.2 support including modern cipher suites (ECDHE, GCM, X25519, P-256/P-384). It includes a built-in command-line shell, scripting engine, interactive menus, and extensive hardware drivers for network cards, USB controllers, and storage devices across x86, ARM, RISC-V, LoongArch, and s390x architectures. The architecture is modular and table-driven: drivers, protocols, commands, and startup functions are registered via compile-time tables (e.g., `__pci_driver`, `__net_protocol`, `__command`), enabling a highly configurable build. The core uses an interface/refcount pattern for object-oriented-like composition, with reference-counted objects and asynchronous data transfer via `struct interface`. The codebase is well-structured with clear separation between architecture-specific code (under `src/arch/`), platform interfaces (EFI, BIOS, Linux userspace, SBI), and generic core logic. A comprehensive test suite (over 50 unit tests plus Wycheproof vectors) validates cryptographic primitives, network protocols, and data structures. Key entry points include `src/core/main.c` (generic boot flow), EFI application entry (`efiprefix.c`), BIOS PXE ROM entry, and Linux userspace binary. The firmware is typically embedded into option ROMs, UEFI drivers, or bootable images. External dependencies are minimal—the firmware runs directly on hardware or under a hypervisor, relying only on platform firmware services (UEFI, BIOS, SBI) for low-level operations.

CodExt is a Python library and command-line tool that extends the standard library's codecs with over 120 custom encodings for data transformation. It provides encoding/decoding functionalities across domains including base encodings (baseN, base45, base85, etc.), cryptography (Vigenère, RSA, XOR), compression (gzip, LZ77/LZ78), steganography, and language-based transformations (Leetspeak, Morse, Braille). The system features a heuristic-based guess mode for automated multi-layered decoding and a macro system for chaining codecs. Architected as a plugin-based library, it allows dynamic registration of new codecs and is designed for CTF, security, and data obfuscation tasks. The codebase demonstrates strong modularity with clear separation of concerns between core functionality, codec implementations, and utility modules.

Hey is a decentralized social media application built on the Lens Protocol. It provides a full-featured frontend for users to interact with the Lens blockchain, including wallet authentication, post creation and engagement (likes, comments, reposts, collects, tips), group management, notifications, and profile customization. The application uses React 19 with Vite for bundling, TypeScript for type safety, and Tailwind CSS for styling. State management combines Apollo Client for GraphQL data persistence with Zustand stores for client-side state (account, notifications, preferences). Key architectural patterns include optimistic UI updates for blockchain transactions, portal-based modals, and custom hooks for transaction handling and media uploads. The codebase demonstrates strong modularity with reusable UI components and clear separation between UI, state management, and data layers.

KeePassXC is a cross-platform password manager (Qt Widgets GUI plus CLI) written in C++/Qt. In production it creates, stores, and retrieves credentials in KeePass 2 (KDBX 3/4) database files encrypted with AES, ChaCha20, or Twofish and keyed by Argon2/AES-KDF through the Botan crypto library. It is entirely local-file based — no hosted backend — and adds local integrations: Auto-Type keystroke injection (X11/Wayland/Windows/macOS), YubiKey challenge-response, RFC 6238 TOTP generation, an SSH agent implementing the ssh-agent wire protocol, a FreeDesktop.org Secret Service D-Bus daemon so Linux desktop apps can read stored secrets, browser-extension access via native messaging (including passkey/WebAuthn registration and authentication), and KeeShare encrypted group sharing. The CLI (keepassxc-cli, entry point src/cli/keepassxc-cli.cpp plus src/main.cpp for the GUI) exposes the same core model for scripting: create/edit/show/search/merge databases, generate passwords, analyze HIBP breach exposure, import/export, and dump to CSV/HTML. Architecture is a modular desktop monolith: a core domain layer (src/core: Database/Entry/Group, config, clock, search, password generation, password health), a crypto layer (src/crypto: ciphers, hashes, KDFs), a stream layer (src/streams: hashed/HMAC block streams that give the KDBX format tamper-evident framing), a format layer (src/format: KDBX3/4 readers and writers, CSV parser/exporter, HTML exporter, importers for 1Password OPVault/1PUX, Bitwarden, Proton Pass, KeePass 1), and feature modules (browser, fdosecrets, sshagent, keeshare, autotype, quickunlock) that feed both GUI and CLI surfaces. Platform abstraction lives in OSUtilsBase plus per-OS AutoType/device-listener/screen-lock implementations; background work uses AsyncTask (QtConcurrent) wrappers; several plugin-like interfaces (IReportsPage, IEditGroupPage, ISettingsPage, KeyComponentWidget) allow modular extension. External dependencies: Qt 6, Botan, libsodium, zxcvbn, libusb/PCSC for YubiKey, QuaZip/minizip, and vendored ykcore C code. The test suite is extensive (~100 unit/GUI test files covering format round-trips, crypto known-answer tests, streams, merge, CLI, and browser). Notable weaknesses: heavy conditional compilation (#ifdef for KPXC_FEATURE_BROWSER/NETWORK/SSHAGENT/FDOSECRETS plus platform), near-duplicate report widgets, and a suspected early-return bug in EditGroupWidget::apply() under the browser-feature #ifdef that can skip group save logic, all of which add maintenance friction.

This repository is a zero-dependency JavaScript library for detecting 18 candlestick patterns (29 variants) in financial OHLC data. It provides a consistent API per pattern (boolean check and array scanner), a multi-pattern scanner with optional trend context for confidence adjustment, a streaming API for memory-efficient processing of large datasets, a plugin system for custom patterns, and a CLI tool for quick analysis. The library supports both CommonJS and ES Modules, includes TypeScript definitions, and is extensively tested with unit, integration, and property-based tests. It is designed for use in trading systems, backtesting, and algorithmic trading applications.

PrivateBin is a self-hosted, zero-knowledge pastebin web application. The PHP backend (Controller, Model, Data) handles paste/comment lifecycle, expiration, deletion, traffic limiting, and storage backend selection; the JavaScript frontend performs all encryption/decryption in the browser using AES-256-GCM (WebCrypto) with PBKDF2 key derivation and optional zlib/WASM compression. The server only ever stores ciphertext and metadata, never plaintext. Data flows from browser encryption into a pluggable persistence layer (filesystem, PDO database, Google Cloud Storage, S3), then back to the browser for decryption; JSON API endpoints accept and return encrypted bodies. Architecturally it is a classic server-rendered MVC app with a frontend state layer: index.php bootstraps a Controller, which delegates to Paste/Comment models over an AbstractData storage interface. Views are rendered via PHP templates with Bootstrap 3/5 themes, and the frontend is a vanilla-JS module namespace (PrivateBin) with submodules for encryption, editor, viewer, discussion, attachments, and i18n. The feature set includes expiration times, burn-after-reading, password-protected pastes, discussion threads, file attachments, URL shortening proxies (YOURLS/Shlink), QR codes, dark mode, and multi-language support. Engineering practices are strong for a mature open-source project: PHPUnit tests cover backend behavior, fast-check property tests cover frontend utilities, CI includes CodeQL/Snyk scans, and security hardening (DOMPurify, CSP, SRI hashes, HTTPS guidance) is explicit. Maintenance is active with recent commits and issue triage. Technical drift is moderate: the project retains legacy browser support and old Bootstrap 3/darkstrap assets, still supports PHP 7.4, and ships a monolithic JS file without a build step, but pinned frontend libraries (Bootstrap 5.3.8, Showdown 2.1.0, DOMPurify 3.4.17) are current.

ADAMANT Forging Pool is a blockchain service that calculates and distributes delegate voter rewards on the ADAMANT network. It consists of a Node.js/Express backend that processes forged blocks, computes voter rewards, handles scheduled payouts, and maintains MongoDB storage for blocks, voters, and transactions. The system features a Svelte/Vite web dashboard for monitoring pool status and voter rewards, plus a control CLI (`adm-pool`) for managing encrypted passphrases. Key security features include operator-encrypted passphrases, input validation to prevent NoSQL injection, and secret-free health monitoring. The architecture follows a modular design with clear separation between API handling, business logic, data storage, and external integrations.

CCXT is a cryptocurrency exchange trading library that provides a unified API for over 100 exchanges across 7 programming languages (TypeScript/JavaScript, Python, PHP, C#, Go, Java). The core is written in TypeScript from which all other language bindings are transpiled. It implements both REST and WebSocket APIs for market data, trading, and account management. The library normalizes exchange-specific data formats into a common schema, enabling cross-exchange arbitrage and analytics. Key architectural patterns include a base Exchange class with exchange-specific subclasses, a pro/ subdirectory for WebSocket-enabled exchanges, static_dependencies/ for vendored third-party code (ethers, starknet, bip39, etc.), and an extensive test suite with both static and live tests. The repository includes a playground (Next.js web IDE), CLI tool, documentation site (Fumadocs), CI/CD for all languages, and Docker development environment.

This repository provides a WebCrypto API polyfill for Node.js, implementing the W3C Web Cryptography API using Node's native crypto module. It supports a comprehensive set of algorithms including AES (CBC, CTR, GCM, ECB, KW, CMAC), DES (CBC, EDE3-CBC), RSA (SSA, PSS, OAEP, ES), ECDSA, ECDH, EdDSA, ECDH-ES, Ed25519, X25519, HMAC, PBKDF2, HKDF, SHA-1/256/384/512, SHA3-256/384/512, and SHAKE128/256. The architecture follows a provider pattern where each algorithm is implemented as a separate class extending a base provider from the 'webcrypto-core' library. Key management is handled through internal CryptoKey classes with serialization support for JWK, raw, PKCS8, and SPKI formats. The library is designed as a drop-in replacement for the browser's crypto.subtle API, enabling isomorphic JavaScript cryptography.

OpenBB is an open-source financial data platform that provides a unified, multi-interface access layer to over 20 data providers (FMP, FRED, CBOE, Yahoo Finance, Intrinio, etc.) through a modular provider-extension architecture. The core library (`openbb_core`) defines a standardized Fetcher pattern (transform_query -> extract_data -> transform_data), Pydantic-based standard models for equities, derivatives, fixed income, economics, and more, and a command routing system exposed via a Python SDK (OBBject), a REST API (FastAPI), a CLI (argparse translator), a desktop app (Tauri + React), and an MCP (Model Context Protocol) server for AI agents. The platform includes domain-specific extensions (equity, crypto, economy, quantitative, technical analysis, charting) and a cookiecutter template for scaffolding new providers or OBBject extensions. While the codebase is large and actively maintained, there is notable technical drift in the form of hardcoded API URLs, mixed sync/async extraction, deprecated endpoints, and code duplication across many provider implementations. The charting extension's plugin-based technical indicator system, the country/exchange validation utilities, and the LRU cache with TTL are high-craftsmanship, reusable components that demonstrate non-obvious software engineering skill.

Jesse is a mature, full-stack algorithmic trading framework designed for cryptocurrency backtesting, live/paper trading, hyperparameter optimization, Monte Carlo simulation, and rule significance testing. It combines a Python library with a FastAPI web server and a Nuxt.js dashboard, offering a comprehensive environment for developing and validating trading strategies. The repository also includes an MCP (Model Context Protocol) server for AI-assistant integration, over 180 technical indicators (many with Rust-accelerated backends), and a research API for programmatic strategy analysis. Architecture is modular with distinct layers: CLI entrypoint → web controllers / MCP tools → service layer → simulation engine (backtest/optimize/live) → exchange adapters. State management uses global singletons for in-memory simulation state, while persistent data is stored via Peewee ORM (PostgreSQL, optional TimescaleDB). The indicator library showcases a clean pattern with sequential/non-sequential modes and Rust fallback. However, the codebase shows signs of organic growth with some tightly coupled modules (global config, store singletons) and a large static frontend bundle that is opaque to analysis. Key strengths include the breadth of supported exchanges (10+), robust backtesting with realistic fee/margin/leverage modeling, and a well-designed MCP tool layer for AI-assisted development. Weaknesses include exchange driver duplication, a complex Rust subprocess for coordination, and dependency on many external APIs that require ongoing maintenance.

BittyTax is a Python CLI application suite for computing UK cryptocurrency tax liabilities. It consists of three console tools: bittytax_conv normalizes raw CSV/XLSX exports from approximately 80 exchanges, wallets, block explorers and accounting platforms into standardized transaction records; bittytax applies HMRC rules such as same-day matching, bed-and-breakfast, Section 104 pooling, and ten-day matching for companies, then generates PDF/Excel/console reports for capital gains, income, margin trading, holdings, and audit; bittytax_price fetches historical and latest asset prices from CoinGecko, CoinPaprika, CoinStats, Frankfurter, and BittyTaxAPI with local JSON caching. The repository is fundamentally an application rather than a data-research project: it exposes CLI entry points, has a plugin-based parser architecture, config-driven behavior, test suites, and CI pipelines, while the data-heavy parser and price modules are application subsystems rather than analytical pipelines.

This repository contains the backend API for a trading platform, specifically QuantDinger. It handles strategies, indicators, and market data, and has various tests and scripts for ensuring the quality and functionality of the code.

This repository implements an agentic crypto trading platform called AI Market Maker (AIMM). Despite the name, the code is not a low-latency market-making engine; it is a multi-agent hedge-fund-style trading stack that combines LLM-driven research agents with deterministic quant logic for backtesting, paper trading, and live trading. The core execution path is a LangGraph workflow: nine Tier-0 specialist agents (monetary, news, TA, on-chain, order flow, etc.) produce structured signals, a weighted arbitrator fuses them into trade intents, a Risk Guard vetoes dangerous proposals, and portfolio management routes execution through an OMS with an in-memory or SQLite ledger. The platform includes a FastAPI backend with REST and streaming endpoints, a Next.js/React dashboard, Docker deployment, Alembic migrations, CI, and a large test suite.

This repository is not a software application, service, or data pipeline; it is a curated awesome-list of open-source multiparty computation (MPC) resources, stored almost entirely as a single Markdown document plus contribution and code-of-conduct files. The core artifact, readme.md, categorizes roughly 100 projects and educational materials into Theory (books, courses, tutorials), Software (apps, frameworks, primitives, protocols, tools, retired software), and Workshops. Each entry includes a concise description, links to relevant academic papers, and maintenance context. There is no executable code, no package manifest, no CI configuration, and no tests; the repository's real architecture is its taxonomy and the editorial rules in contributing.md.

This repository is the CTF Wiki, a comprehensive, community-driven knowledge base for Capture The Flag (CTF) security competitions. It is a static documentation site built with MkDocs and the Material theme, supporting multiple languages (Simplified Chinese, Traditional Chinese, English). The content covers a wide range of security topics including binary exploitation (pwn), cryptography, reverse engineering, web security, blockchain, Android security, and miscellaneous challenges. The repository itself is not a software application but a collection of Markdown files, images, and configuration files that are built into a static website. It includes CI/CD pipelines for deployment to Netlify and GitHub Pages, a Dockerfile for production serving, and a build script (scripts/docs.py) for multi-language management. While the documentation is extensive and well-organized, the codebase is primarily configuration and build tooling, with limited reusable software components. The project shows signs of maintenance with recent commits, but many pages are incomplete or outdated, and some dependencies (Python 3.8, pydantic 1.5.1) are lagging behind current versions.

This repository is primarily a curated knowledge base and personal reference collection (a 'second brain') organized into dozens of markdown files across categories such as coding languages, blockchain, operating systems, trading, and general utilities. Each markdown file contains tables of contents and extensive lists of external links to tools, libraries, tutorials, and best practices. The repository also includes a small set of utility scripts (e.g., remark.js for auto-generating table of contents, wip-dedupe.js for deduplication, shell migration scripts, and code snippets) and an Obsidian vault configuration. While not a traditional application, the automation scripts add a thin layer of tooling around the curated content. The primary value is as a discovery index for developers and researchers, but the code itself is minimal and tightly coupled to personal workflow, limiting reuse.