Documents, diagrams and finance

PlotNeuralNet is a programmatic tool designed to generate high-quality visual representations of neural network architectures. It functions as a declarative visualization framework that converts structural definitions into professional-grade graphical output, specifically tailored for technical documentation and academic research papers. The project distinguishes itself by utilizing a layer-centric procedural modeling approach, which applies standardized geometric templates to network components to ensure consistent visual styling. By leveraging a domain-specific macro language and a LaTeX-based engine, it translates high-level architectural descriptions into precise vector-based diagrams. This allows users to define complex network structures through a programming interface, automating the creation of schematics that accurately reflect model configurations. Beyond basic generation, the tool supports the prototyping of deep learning models by visualizing layer connections and data flow. It employs coordinate-based layout calculations and modular component templating to maintain alignment and spacing across diagrams, ensuring that visual records remain consistent as model designs evolve.

This project is a cross-platform desktop application designed for creating, editing, and managing structured diagrams and technical workflows. It provides a visual modeling environment that allows users to construct complex charts through a drag-and-drop interface, supporting the documentation of processes, software architectures, and system flows. The application distinguishes itself by utilizing a layered canvas composition that enables independent manipulation of diagram components, paired with a keyboard-driven workflow that minimizes mouse reliance. It employs scalable vector graphics for rendering, ensuring high-resolution output, while executing all graph processing and layout logic locally to provide immediate visual feedback. The software manages document structure through an XML-based serialization format, which supports version control and cross-platform compatibility. It also incorporates an event-driven command system to handle complex undo and redo operations throughout the editing lifecycle. The desktop shell integrates with the local file system, allowing for offline access and the ability to embed visual assets into external project management and documentation platforms.

This project is a client-side rendering engine that transforms declarative, text-based syntax into visual diagrams directly within the browser. By utilizing a domain-specific language, it allows users to define complex structures—such as software architectures, process flows, and system behaviors—without the need for manual layout configuration. The library functions as a browser-based runtime that parses these definitions into intermediate abstract syntax trees, which are then processed by specialized engines to generate high-fidelity, resolution-independent graphics. The system distinguishes itself through a modular architecture that decouples diagram types into independent plugins, allowing for a wide range of visualizations including sequence diagrams, entity relationship models, and project timelines. To ensure security when processing untrusted input, the library supports sandboxed rendering within isolated frames. It also features automatic rendering capabilities, which monitor the document object model to detect and visualize diagram definitions embedded within standard web content. Beyond its core rendering engine, the project supports a documentation-as-code workflow by integrating with various development environments, productivity platforms, and content frameworks. This enables the inclusion of version-controlled, dynamic visuals in technical guides and wikis. The library is designed for flexible deployment, offering support for content delivery network integration to facilitate implementation without requiring local build processes.

BookStack is a self-hosted knowledge base platform designed for organizing, storing, and managing structured documentation. It utilizes a hierarchical content model that arranges information into nested trees of books, chapters, and pages, supported by a dedicated search index for rapid retrieval across the entire knowledge base. The platform distinguishes itself through deep integration with enterprise identity providers, allowing organizations to centralize authentication and access control via LDAP, SAML, or OIDC. It provides extensive administrative control over the content lifecycle, including granular permission management, automated content organization, and the ability to customize the interface through theme-based component overrides and custom asset injection. Beyond core documentation features, the system includes robust tools for media management, content templating, and programmatic data access via a standard web API. It supports various deployment configurations, including containerized environments and high-availability setups, while offering comprehensive maintenance utilities for system backups, database migrations, and activity logging. The application is distributed as a PHP-based project, with installation and updates managed through standard command-line operations and dependency management tools.

Slidev is a markdown-based presentation framework designed for creating interactive, web-based slide decks. It functions as a static site generator that transforms plain text files into modular UI components, allowing authors to maintain version control while building professional presentations. The engine provides a browser-based runtime that manages slide navigation, animated transitions, and the live execution of code blocks. What distinguishes Slidev is its developer-centric approach to technical presentations. It features built-in support for syntax highlighting, mathematical typesetting, and live code execution, enabling presenters to demonstrate concepts directly within their slides. The framework utilizes a component-based architecture where markdown files serve as the source of truth, and custom UI components can be automatically registered and used without manual imports. The platform offers a comprehensive suite of tools for design and deployment. Authors can extend functionality through a modular plugin system, apply custom themes, and utilize an atomic CSS engine for visual styling. The development environment includes a local server for live previews and hot-reloading, while the build process supports exporting presentations into various static formats, including PDF and standalone single-page applications, for deployment on any standard web server.

This project is a comprehensive documentation site framework and static site generator theme designed to transform markdown files into professional, responsive websites. It functions as a technical content platform that supports complex documentation projects, including multi-project management, blog workflows, and advanced content formatting. By processing source files through an extensible pipeline, it generates self-contained HTML sites that can be hosted on any web server without a database. What distinguishes this framework is its focus on developer experience and highly configurable build-time orchestration. It features a live-preview server for real-time development and utilizes metadata-driven properties to control page-level behavior, such as search relevance and social card generation. The theme architecture is built on CSS variables, allowing for deep visual customization of color palettes, typography, and branding, while client-side navigation interception provides a responsive, single-page application experience for end users. The platform covers a broad capability surface for technical publishing, including interactive components like content tabs, collapsible admonitions, and sortable data tables. It provides extensive tools for code presentation, mathematical rendering, and image management, alongside robust search indexing and internationalization support. Developers can further extend the platform by injecting custom scripts and styles or by overriding default templates to meet specific project requirements. The project is configured through a centralized file, with support for project template initialization to accelerate setup. It includes automated asset optimization and privacy-focused features, such as the ability to self-host external assets and manage font loading.

Actual is a local-first personal finance manager designed to help users track income, manage expenses, and maintain a balanced budget. It functions as a data-centric application that prioritizes offline access and local file storage, ensuring that financial records remain available and performant regardless of network connectivity. The platform distinguishes itself through a robust architectural foundation that emphasizes data integrity and auditability. Every financial action is recorded as an immutable sequence of events, and all currency values are processed using an integer-based arithmetic engine to eliminate floating-point rounding errors. To support multi-device usage, the application employs conflict-free replicated data types, allowing users to synchronize budget changes across different clients without the risk of data loss or corruption. Beyond core ledger management, the application provides a comprehensive suite of tools for financial oversight. Users can automate repetitive data entry through rule-based transaction scheduling, visualize long-term trends such as net worth and cash flow, and manage complex account lifecycles. The interface is highly customizable, supporting community-driven visual themes and experimental feature flags that allow for early access to new functionality.

drawio is a web-based diagramming tool and cross-platform visual designer used for creating flowcharts, network maps, and technical schemas. It functions as a vector graphics editor and an XML-based diagramming engine that allows users to design and export scalable graphics. The software supports a wide range of technical design tasks, including infrastructure mapping for server layouts and the creation of visual aids for technical documentation. It enables the import of diagram files from other tools to facilitate cross-tool migration.

This project is a React-based framework for constructing interactive, node-based visual interfaces. It provides a platform for building canvases where users define, connect, and organize logical processes, data pipelines, or complex workflows through a graphical interface. By utilizing a modular component architecture, it enables the development of low-code environments, visual programming tools, and interactive diagramming applications. The framework distinguishes itself through a declarative approach where state changes automatically synchronize with the visual representation of nodes and edges. It employs a coordinate-aware container that renders elements as scalable vector graphics, ensuring consistent visual quality across zoom levels. Developers can leverage an integrated event-driven layer to manage user gestures, alongside automated layout algorithms that organize graph elements in real time to improve readability. The system includes comprehensive utilities for managing node properties, connection handles, and nested hierarchies. It supports a wide range of applications, from data exploration and automated graph visualization to specialized use cases like real-time audio synthesis. The project is distributed as a library of components designed to facilitate the creation of custom, interactive graph editors within web applications.

This project is a diagram-as-code tool that transforms declarative text scripts into professional visual representations. It functions as a technical documentation generator, allowing users to define nodes, connections, and hierarchical relationships through a domain-specific modeling language that integrates directly into version-controlled developer workflows. The tool distinguishes itself through a highly modular architecture that decouples diagram definitions from spatial positioning. It features a pluggable layout engine that supports multiple arrangement algorithms, alongside a styling system inspired by web development that enables global theme management and reusable class-based properties. Users can further customize their output with a sketch-like aesthetic, interactive metadata, and the ability to embed rich content such as markdown and code snippets directly into diagrams. Beyond basic rendering, the system provides comprehensive support for large-scale documentation projects through file modularization, content parameterization, and automated code formatting. It includes a reactive file watcher for live updates and supports a wide range of output formats, including vector graphics, raster images, and terminal-based text diagrams. The tool also facilitates the creation of interactive presentations and sequential animations to illustrate complex technical workflows. The software is distributed as a command-line utility designed for integration into automated build pipelines and development environments.

OpenBB is a financial data platform and investment research terminal designed to aggregate, normalize, and distribute market data across analytical workflows. It functions as a comprehensive ecosystem that bridges disparate financial data providers with custom applications, spreadsheets, and internal modeling infrastructure. The platform distinguishes itself through a provider-based data abstraction layer that normalizes heterogeneous financial APIs into a consistent, schema-driven format. This architecture supports quantitative research automation and the construction of interactive, widget-based dashboards, allowing users to maintain control over data within secure, self-hosted, or private infrastructure environments. Beyond its core terminal interface, the project provides a modular, plugin-driven architecture for integrating proprietary data feeds and external services. These capabilities enable the embedding of live market and historical datasets directly into custom software products and business intelligence platforms, ensuring consistent data availability for cross-platform analysis.

Macdown is a markdown text editor and HTML renderer designed for structured document composition. It provides a workspace for writing in lightweight markup syntax while simultaneously generating a live HTML preview of the rendered output. The editor distinguishes itself through a programmable interface, offering a command line utility to open files or pipe text directly into the application. It further supports extensibility via a plugin system that allows for the addition of custom features and functional modules at runtime. The application handles technical documentation requirements including mathematical notation, syntax-highlighted code blocks, and the visualization of Graphviz and Mermaid diagrams. It also supports exporting content as responsive HTML and monitors the file system to synchronize changes made by external editors.

This project is a centralized engineering knowledge repository that provides a structured curriculum for mastering system design, architectural patterns, and fundamental software development workflows. It serves as a professional development resource for engineers, offering foundational knowledge and real-world case studies to support the design of scalable, secure, and efficient distributed systems. The repository distinguishes itself through a visual-first approach to knowledge synthesis, distilling complex technical concepts into high-density graphical diagrams and succinct illustrations. By employing cross-domain concept mapping and modular topic decomposition, it connects disparate engineering disciplines—such as infrastructure, security, and application layers—into granular, self-contained modules that facilitate rapid mental modeling and targeted learning. The content covers a broad spectrum of technical domains, including API and web development, database scaling strategies, networking protocols, and DevOps deployment pipelines. These educational assets are organized as a static, version-controlled repository, allowing users to consume technical insights asynchronously at their own pace.

Gollum is a Git-powered wiki engine and content management system that provides a web-based interface for editing and organizing files stored in a Git repository. It functions as a self-hosted documentation tool, using a Git-based storage backend to manage page content and track version history. The system is characterized by a pluggable markup rendering architecture that converts multiple markup languages and specialized notations into HTML. It supports a wide array of rich content, including mathematical typesetting, BibTeX bibliographies, and diagrams rendered via Mermaid. Broad capabilities include identity management through single sign-on integration, collaborative authoring tools with inline annotations, and full-text repository search. The platform also provides extensibility via hook-based logic extensions, template-based UI overrides, and adapter-based data persistence. The application can be deployed as a web service, a background daemon, or via container images.

jsPDF is a document creation engine designed to generate professional PDF files through a unified programming interface. It functions as a cross-platform graphics library that enables the programmatic assembly of data into structured layouts, supporting both client-side generation within web browsers and server-side rendering in backend environments. The library utilizes a canvas-based drawing API that translates high-level geometric and text instructions into standardized PDF vector primitives. By employing a cross-platform runtime abstraction, it decouples document generation logic from environment-specific constraints, ensuring consistent behavior whether the engine is running in a browser or on a server. The engine includes comprehensive support for internationalized document publishing, featuring a Unicode-compliant text renderer that maps custom character sets and scripts onto document pages. To maintain document quality and efficiency, it incorporates font-subset-based embedding to include only necessary glyphs, alongside layered graphical state management to handle complex content composition and visual ordering.

Mermaid is a text-to-diagram rendering engine that transforms markdown-inspired text definitions into visual flowcharts, sequence diagrams, and Gantt charts. It functions as a markdown-based diagramming tool designed to keep technical documentation synchronized with development by defining visuals as plain text. The engine utilizes a sandboxed rendering process, executing diagram generation inside isolated frames to prevent malicious scripts embedded in user text from executing in the browser. The system handles client-side text transformation and domain-specific language parsing to map text descriptions to rule-based layouts. These are rendered as scalable vector graphics directly in the browser.

MinerU is a document parsing pipeline designed to transform unstructured files into machine-readable, structured data. It utilizes deep learning models to perform layout analysis, identifying document regions and extracting complex content such as mathematical expressions. By combining these neural network inferences with geometric heuristics, the system reconstructs the reading order and structural hierarchy of documents to ensure accurate data representation. The project distinguishes itself through a multi-stage processing workflow that integrates layout detection, optical character recognition, and formula extraction into a unified pipeline. It serializes all extracted features and spatial coordinates into a standardized format, ensuring that output remains consistent for downstream integration. To support verification, the tool includes a diagnostic suite that generates visual overlays, allowing users to inspect segmentation boundaries and reading order directly against the original source files. The software provides a comprehensive framework for automated data extraction, organizing parsed elements into a page-based structure suitable for large-scale information retrieval. It is distributed as a Python-based package, with documentation and installation instructions available in the repository.

PlantUML is a text-to-diagram generator that translates human-readable markup into structured graphical representations. It functions as a diagram-as-code tool, allowing users to create and maintain technical documentation, architectural models, and flowcharts by decoupling diagram content from visual layout. The project distinguishes itself through a comprehensive rendering pipeline that processes domain-specific markup into various output formats, including vector and raster graphics. It utilizes a graph-based layout engine to calculate spatial positioning, while a declarative styling layer maps configuration attributes to final rendering instructions. This approach enables the generation of diverse visual models, ranging from software architecture and process flows to project management charts and interface mockups. The platform supports extensive data integration, allowing for the embedding of structured formats like JSON and YAML directly into diagram definitions. It also provides advanced modeling primitives for defining complex system logic, state transitions, and hierarchical relationships. Users can further enhance their diagrams with rich text formatting, mathematical notation, and metadata such as hyperlinks and tooltips. The tool integrates into automated workflows through command-line execution and build system tasks, ensuring that visual documentation remains synchronized with source code. It also offers interactive browser-based editing environments for real-time previewing and generation.

Awesome-CV is a LaTeX document class designed for the creation of professional resumes and cover letters. It functions as a static document generator that transforms structured, declarative markup into high-quality, print-ready portable document format files. By utilizing a macro-driven layout engine, the system separates raw career data from visual presentation, ensuring consistent formatting across all generated materials. The project facilitates a technical writing workflow where career documentation is maintained as plain-text source files. This approach allows users to manage their documents using standard version control systems, enabling the tracking of historical changes and revisions. Because the typesetting compilation occurs entirely on the local machine, the process remains independent of external cloud services and ensures consistent output across different environments. The system provides comprehensive support for generating cohesive application packages, including both resumes and formal correspondence. Users can customize document layouts through the provided markup, allowing for precise control over the organization and visual styling of their professional information. The repository includes the necessary templates and command-line automation tools to compile these source files into professional documents.

This project is a static site generator template designed for academics to build and maintain professional portfolios. It transforms markdown files and structured data into a cohesive website, allowing scholars to document their research publications, teaching experience, and speaking history without the need for a database. The platform is distinguished by its specialized tools for scholarly dissemination, including the ability to showcase research output with metadata and abstracts, and to catalog professional talks through interactive geographic visualizations. It supports the presentation of complex technical information by rendering mathematical equations and text-based diagrams directly within the browser. Beyond its core academic focus, the system provides comprehensive content management features such as chronological blog archiving, collapsible sections, and interactive data visualizations. Users can automate the creation of portfolio entries by converting structured spreadsheet or CSV files into formatted markdown, while centralized configuration files manage site-wide navigation and layout visibility.