Calendar, scheduling and booking

Odysseus is a self-hosted AI workspace and autonomous agent framework designed for deploying and managing large language models. It serves as a centralized platform for orchestrating agentic tasks, utilizing a model context protocol server to connect AI models to external system utilities, browser automation, and local hardware. The system distinguishes itself through a combination of retrieval-augmented generation and a RAG knowledge base, using vector stores and local embeddings to provide persistent semantic memory. It further integrates AI-driven communication management to triage email inboxes and synchronize schedules via CalDAV and CardDAV standards. The project covers a broad range of capabilities including autonomous deep research, AI-enhanced document editing, and hardware-aware model deployment. It incorporates a multi-provider inference gateway to unify local serving engines with external API providers, secured by a bcrypt-TOTP authentication layer and role-based tool restrictions. Installation options include containerized deployment via Docker, a portable Windows distribution, and standalone desktop launchers.

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.

Laravel is a comprehensive full-stack web framework designed for building scalable server-side applications. It provides an integrated development environment that centers on an object-relational mapper for database abstraction, a robust routing system, and a sophisticated service container for dependency injection. The framework is built to handle complex application requirements through a modular architecture that emphasizes convention over configuration. What distinguishes Laravel is its deep integration of background processing and event-driven communication. It features a task queue orchestrator that manages asynchronous job execution, retries, and worker lifecycles, allowing developers to offload resource-intensive operations from the main request cycle. This is complemented by an event-driven observer pattern that decouples application logic, enabling components to trigger and listen for asynchronous events across the system. The framework also provides a complete suite of tools for maintaining data integrity and application reliability. This includes a fluent schema migration system for version-controlled database evolution, a layered middleware pipeline for intercepting HTTP requests, and extensive testing utilities that support everything from database state assertions to simulated HTTP request cycles. These features are supported by a command-line interface that facilitates scaffolding, database management, and test suite execution.

jQuery is a library designed for document object model manipulation and cross-browser interaction. It provides a unified interface for selecting, traversing, and modifying web page elements, ensuring consistent behavior across different rendering engines by abstracting away underlying browser inconsistencies. The library distinguishes itself through a dedicated CSS selector engine that parses strings into executable functions for element location. It incorporates a state machine for managing asynchronous operations and a feature-detection strategy that probes the environment to execute code paths tailored to specific browser capabilities. These mechanisms are supported by a fluent interface that allows multiple operations to be chained within a single statement. Beyond its core selection and manipulation capabilities, the project includes tools for event management, asynchronous data fetching, and animation orchestration. It also features a plugin architecture that allows for the extension of the core prototype to support custom functionality. The library is distributed with comprehensive documentation covering its primary methods for handling network requests, user interactions, and visual transitions.

QloApps is an open-source hotel reservation system designed to manage guest bookings, property storefronts, and daily hospitality operations. It functions as a centralized online booking engine that automates administrative tasks and reservation workflows to improve operational efficiency for property managers. The platform is built on a modular architecture that separates data, logic, and presentation layers to handle complex reservation requirements. It provides a hook-based extensibility system that allows for the injection of custom functionality into the core execution flow without modifying the underlying source code. The system includes tools for launching professional property websites to showcase amenities and reach potential guests. It manages the entire guest booking experience through a centralized engine, utilizing relational data modeling and object-relational mapping to maintain data integrity across reservation processes.

Tokio is an asynchronous runtime for the Rust programming language, designed to manage and execute concurrent tasks efficiently. It provides a multi-threaded execution environment that schedules lightweight tasks across available processor cores, utilizing a work-stealing scheduler to balance computational load. By employing a poll-based execution model and waker-based notifications, the runtime drives asynchronous operations forward without requiring active polling loops, ensuring efficient resource utilization. The project distinguishes itself through a comprehensive suite of tools for high-performance network programming and concurrent coordination. It features a robust asynchronous input/output framework that maps non-blocking operations to platform-specific system calls, complemented by sophisticated buffering strategies for both incoming and outgoing data. Developers can manage complex state and data flow using multi-producer, multi-consumer channels that include built-in backpressure management, as well as primitives for task multiplexing and future selection to handle multiple concurrent operations simultaneously. Beyond its core runtime capabilities, the framework offers extensive support for asynchronous stream processing and shared state management. It provides utilities for sharding data structures to reduce contention and tools for implementing custom asynchronous streams and futures. The project also emphasizes efficiency through compile-time feature selection, allowing users to include only the necessary runtime components to minimize binary size and overhead.

Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It supports complex orchestration by allowing users to define multi-container services using standard configuration files, which can be managed through automated build pipelines, Git integration, and real-time performance monitoring. Beyond core deployment, the system includes robust infrastructure management capabilities such as automated backups to external object storage, horizontal and vertical scaling, and granular access control. It also provides secure configuration management, including environment variable synchronization, HTTPS certificate handling, and zero-downtime deployment strategies to ensure application stability and security. The platform is designed for ease of use, offering an interactive API documentation interface and instructional resources to guide users through installation and configuration. It supports a wide range of modern web frameworks and runtimes, providing a flexible environment for hosting and maintaining services on private server hardware.

OpenEMR is an open-source electronic health record (EHR) system that also functions as a medical practice management platform and a patient portal, all integrated with standards-based health data exchange. It stores and manages patient health records, handles clinical workflows, supports scheduling and billing, and provides patients with secure self-service access to their information. Interoperability is built in via FHIR and C-CDA for exchanging records with external systems and Direct protocol for encrypted provider messaging. The system is designed to be extensible, with a modular plugin architecture that allows installing add-ons for billing, scheduling, and care coordination without modifying core code. Event hooks let custom modules alter behavior at defined workflow points, and a visual form builder creates encounter layouts without programming. Clinical workflow automation includes AI-generated notes from chief complaints and billing code suggestions drawn from encounter documentation. Security features such as role-based access control, multi-factor authentication, audit logging, and patient document encryption help protect sensitive data. Broader capabilities cover appointment scheduling across facilities with provider availability management, end-to-end medical billing with electronic claim submission and insurance eligibility verification, patient payment collection, and practice accounting. Clinical decision support applies customizable rules for reminders and evidence-based alerts. Telehealth enables real-time video consultations, and patient engagement extends to fax, SMS, and patient-reported data capture. Reporting tools generate clinical and financial reports and manage electronic clinical quality measures. The software can be deployed on multiple operating systems via Docker, Linux, or Windows, including AWS cloud packages and pre-configured virtual appliances, and updates can be applied incrementally without full reinstalls.

FreeDomain is a centralized platform for managing the full lifecycle of domain names, providing services for free registration and web presence activation. It offers a unified administrative interface that allows users to secure digital identities across multiple top-level extensions and configure hosting environments through a guided setup process. The platform distinguishes itself through an API-driven orchestration layer that automates interactions with external registrars and simplifies complex infrastructure management by abstracting DNS configurations into standardized zone file updates. It incorporates multi-tenant identity management to ensure secure resource isolation and includes a policy-based compliance engine that utilizes event-driven workflows to identify and mitigate domain misuse. The system supports comprehensive domain administration, including tools for managing DNS records, maintaining connectivity settings, and facilitating formal abuse reporting. These administrative capabilities are supported by asynchronous task processing to handle high-latency requests, ensuring consistent system responsiveness during domain activation and propagation.

FullCalendar is a framework-agnostic UI library and JavaScript calendar component designed for building interactive event scheduling interfaces. It provides tools for managing time-based data, including an integrated iCal feed parser for importing external calendar files and recurring schedules into a unified web view. The library features a system for event scheduling and management, enabling users to reschedule entries via drag-and-drop, adjust event durations by resizing, and highlight specific time ranges for selection. It supports multiple date views, such as month, week, day, and list formats, and includes a plugin-based extension model to add specific views or interaction capabilities. The project covers broad functional areas including event lifecycle management, calendar content localization for different timezones and languages, and accessibility support for keyboard and screen-reader navigation. Visual appearance and component content can be modified through CSS and injection hooks for UI customization. Integration with various frontend environments is provided through dedicated connectivity layers and framework-specific wrapper layers.

Conductor is a durable workflow engine designed to orchestrate complex, long-running business processes and autonomous agent loops. It functions as a stateful execution platform that persists the entire history of a process, ensuring that workflows remain reliable and recoverable across infrastructure failures, system restarts, and transient network errors. By managing task lifecycles, worker polling, and state transitions, it provides a centralized coordination layer for distributed systems. The platform distinguishes itself through its specialized support for AI agent orchestration, allowing developers to build autonomous loops that plan, act, and observe using model-based reasoning. It integrates AI capabilities directly into durable pipelines, enabling features like automated tool discovery, token usage optimization, and human-in-the-loop approval gates. These agentic workflows can be composed of nested sub-agents and dynamic execution paths, all while maintaining full auditability and state persistence for every model call and tool interaction. Beyond its agentic capabilities, the engine provides a comprehensive suite of tools for managing distributed tasks, including event-driven triggers, complex compensation logic, and polyglot worker support. It allows for the construction of dynamic task graphs that adapt at runtime, ensuring that business logic remains flexible and scalable. The system supports horizontal scaling through a queue-based distribution model, enabling teams to coordinate microservices and external systems within a single, observable execution environment.

React-admin is a framework for building data-driven administrative interfaces that connect to REST or GraphQL backends. It provides a comprehensive suite of tools for managing the full lifecycle of administrative applications, including resource-oriented routing, declarative form scaffolding, and context-driven state management. By utilizing a modular adapter-based architecture, the framework abstracts backend communication, allowing developers to build consistent CRUD interfaces that handle data fetching, authentication, and synchronization automatically. The project distinguishes itself through a highly flexible composition model that supports both rapid development and deep customization. It offers automated view generation by analyzing API schemas, while simultaneously providing headless hooks and controllers for developers who require full control over the user interface and business logic. This dual approach allows for the construction of complex, responsive dashboards that include advanced features like optimistic UI updates, real-time data synchronization, and granular role-based access control. Beyond core CRUD capabilities, the framework includes a wide range of functional modules for managing sophisticated data entry workflows, hierarchical data structures, and multi-step forms. It supports extensive UI customization through theme overrides, responsive layout configurations, and the ability to integrate custom components or AI-driven features. The system also provides built-in support for internationalization, audit logging, and offline operations, ensuring that administrative applications can meet diverse operational and compliance requirements.

Odoo is an integrated enterprise resource planning suite designed to manage core organizational processes, including accounting, inventory, manufacturing, and human resources, within a single platform. It functions as a modular business application framework that allows for the development and deployment of specialized modules, supported by a low-code environment that provides visual tools for creating custom workflows and data-driven interfaces. The platform distinguishes itself through a highly extensible architecture that enforces strict multi-tenant data isolation, ensuring that records remain separated across different business entities within a shared environment. Developers interact with the system using an object-oriented data abstraction layer and declarative markup for interface rendering, while the modular dependency injection system enables granular feature extensions without requiring modifications to the core codebase. Beyond its foundational ERP capabilities, the platform covers a broad range of operational domains including customer relationship management, multi-channel e-commerce, project management, and retail transaction handling. These features are supported by extensive administrative tools for database management, regional accounting localization, and hardware device integration, providing a comprehensive environment for both business operations and custom software development.

Qbot is a multi-purpose platform designed to support automated recruitment, quantitative trading, and distributed service orchestration. It functions as a comprehensive framework that integrates artificial intelligence into specialized workflows, enabling users to build and deploy systems for candidate screening, financial strategy execution, and context-aware knowledge retrieval. The platform distinguishes itself through a modular architecture that combines high-performance distributed communication with domain-specific automation. It provides a robust foundation for managing microservices through service discovery, load balancing, and annotation-driven dependency injection, while simultaneously offering specialized engines for parsing resumes, conducting simulated voice interviews, and executing automated investment strategies. Beyond its core engines, the system includes extensive capabilities for data management and infrastructure orchestration. It supports retrieval-augmented generation by processing documents into vector stores for semantic search, manages complex financial data pipelines, and ensures system reliability through persistent connection monitoring and containerized deployment. The platform is designed for extensibility, allowing for centralized configuration of multiple artificial intelligence model providers and logical versioning of distributed services.

FastAPI is a web framework for building APIs with Python. It leverages standard language type hints to provide automatic data validation, request parsing, and interactive API documentation generation. The framework supports asynchronous request handling and manages execution contexts to prevent blocking the main event loop. The project includes a dependency injection system that allows for the resolution and injection of reusable components into request handlers. This system supports request-scoped caching, lifecycle management, and integration with security mechanisms like OAuth2 and JSON Web Tokens. Developers can organize applications into modular routers and mount sub-applications to manage complex routing logic. Infrastructure features include middleware support for cross-origin resource sharing, background task management, and static file serving. The framework automatically generates OpenAPI specifications for defined endpoints, which can be customized through metadata and schema extensions. Testing utilities are provided to simulate HTTP and WebSocket connections, allowing for isolated verification of application behavior.

InstaPy is a Python-based automation library designed to manage social media engagement and audience growth. It functions as an automation bot that executes programmatic workflows to interact with platform interfaces, facilitating consistent activity such as liking, commenting, and following accounts. The framework operates by controlling a real browser instance, utilizing document object model selectors to trigger interface actions. It distinguishes itself through configuration-driven execution, which allows users to adjust operational logic and interaction parameters via external files rather than modifying source code. To maintain account activity, the tool incorporates heuristic-based rate limiting and randomized delays to simulate human behavior patterns. It also supports stateful session persistence, ensuring that authentication data remains active across multiple execution cycles while providing filtering capabilities to target specific user relationships and connection statuses.

This project is an open-source JavaScript runtime built on the V8 engine. It provides a comprehensive environment for executing JavaScript code outside of a web browser, offering foundational primitives for process management, multi-core load distribution, and parallel execution through worker threads. The runtime includes a broad set of built-in modules for system-level operations, such as file system interaction, network communication across various protocols, and cryptographic security. It supports multiple module systems, native binary addon integration, and diagnostic tools for monitoring application performance and health. Developers can utilize built-in utilities for testing, debugging, and internationalization, as well as native support for executing TypeScript and WebAssembly. The project is distributed as a standalone runtime, with capabilities for bundling scripts into single executable files.

Tasmota is a universal firmware platform for ESP8266 and ESP32 microcontrollers, designed to provide local control and management of smart home hardware. It functions as an event-driven automation controller that replaces proprietary factory firmware, allowing users to manage relays, sensors, and lighting systems without relying on external cloud services. The system is built on a modular driver architecture that enables dynamic hardware configuration and peripheral support through a web-based management interface. The platform distinguishes itself through a template-driven hardware mapping system, which uses JSON strings to assign physical pins and drivers to specific device functions without requiring firmware recompilation. It acts as a multi-protocol gateway, bridging disparate standards like Zigbee, Bluetooth, LoRaWan, and Modbus into a unified network. By utilizing a local message-broker-based control model, Tasmota synchronizes device states and executes custom automation logic directly on the hardware, ensuring consistent operation even when disconnected from external controllers. Beyond its core bridging and control capabilities, the firmware includes a comprehensive suite of tools for system observability, data logging, and media management. It supports complex automation through a built-in rule engine, persistent flash-based filesystem storage for scripts and assets, and extensive integration options for major smart home ecosystems. The project provides a web-based provisioning interface for initial setup and supports remote firmware management to simplify the maintenance of distributed hardware fleets.

This project is a declarative motion framework and JavaScript animation engine designed to transition CSS properties, SVG attributes, and DOM elements. It provides a comprehensive set of tools for creating complex, multi-part motion sequences by synchronizing animations, timers, and callbacks into a single, unified timeline. The library distinguishes itself through a robust timeline-based sequence orchestrator that allows for precise timing, label-based control, and hierarchical nesting of animations. It also features a physics-driven interaction library that enables draggable elements with configurable friction, damping, mass, and snapping behavior, facilitating natural user interactions within web applications. Beyond its core animation capabilities, the framework supports high-performance frame rendering and provides extensive lifecycle hooks for state synchronization. It offers flexible configuration options for easing, units, and playback control, allowing developers to manage complex UI motion through a consistent, object-based parameter interface. The engine is compatible with standard JavaScript environments and can be integrated into component-based architectures. It is available for installation via package managers, or it can be loaded directly via content delivery networks and import maps for browser-native usage.

Leantime is an open-source project management platform designed to track tasks, milestones, and workflows using Kanban boards and Gantt charts. It functions as a strategic planning tool that links daily operational tasks to high-level business goals and long-term objectives, while also serving as a time tracking and billing system for managing work hours and client estimations. The platform differentiates itself through an integrated AI-powered project assistant that decomposes complex tasks, generates status reports, and provides project insights. It further distinguishes its offering with a self-hosted knowledge base for centralizing project wikis and internal notes, as well as strategic alignment tools for mapping outcomes to activities through a theory of change. The system covers a broad range of capabilities, including agile team collaboration, enterprise identity management via LDAP and OIDC, and project portfolio coordination across different business units. It also provides visual brainstorming tools like mind maps and wireframes, role-based access control for external client collaboration, and an extensibility model based on a plugin marketplace. The software supports S3-compatible object storage for project files and provides managed project infrastructure options.