Project management and kanban

Twenty is a headless customer relationship management framework that enables developers to build, version, and deploy custom business applications using code. By utilizing a declarative approach to data modeling, the platform allows for the definition of custom objects, fields, and complex relationships directly within the source code. This schema-driven architecture automatically generates corresponding REST and GraphQL APIs, ensuring that data structures and interface components remain synchronized across development and production environments. The platform distinguishes itself through a modular, code-first development experience that avoids proprietary lock-in. Developers can extend core functionality by packaging custom server-side logic, automated workflows, and React-based user interface components. These extensions execute within sandboxed environments, providing secure, isolated runtime performance while maintaining granular control over data access and system resources. Beyond its core modeling capabilities, the platform includes a comprehensive suite of tools for business automation, integration, and team collaboration. It supports event-driven workflows that trigger actions based on record changes, scheduled tasks, or external webhooks, alongside AI-powered agents for data processing and conversational interaction. The system also provides robust developer tooling, including command-line scaffolding, containerized deployment support, and integrated CI/CD pipelines to manage the entire application lifecycle. The project is designed for self-hosting or cloud deployment, offering full data ownership and infrastructure control. Documentation and installation are facilitated through standard command-line interfaces, allowing teams to initialize projects, manage dependencies, and sync code changes in real time.

Planka is an open-source Kanban project management tool designed for organizing tasks and tracking team productivity across multiple workflows. It provides a centralized platform where users can manage projects and monitor progress through visual boards. The system distinguishes itself through its focus on data consolidation and secure identity management. It supports the migration of project boards and task lists from external services, allowing teams to unify their work items within a single environment. Furthermore, the platform integrates with external identity providers using standard authentication protocols to verify user credentials and secure access to the project management environment. The application includes a programmatic interface that facilitates integration with third-party services, enabling the automation of workflows and the synchronization of data across development stacks. It utilizes a structured database for persistence and exposes system functionality through standardized endpoints to support external tool connectivity.

This project is a project management platform that serves as a centralized digital workspace for organizing team tasks and synchronizing development workflows. It functions as a development workflow orchestrator, providing a unified interface that connects disparate engineering tools to streamline team coordination and maintain visibility over ongoing technical projects. The platform distinguishes itself through a relational entity graph that stores data as a network of interconnected nodes and edges, enabling complex querying of relationships between tasks and repositories. It maintains consistency across multiple user sessions using persistent bidirectional connections for real-time synchronization, while ensuring a responsive interface through optimistic updates that reflect user actions immediately. Security and integration are managed through a centralized authorization layer that enforces granular role-based access control and an event-driven system that processes asynchronous updates from external services. The system supports the full software development lifecycle by coordinating technical tasks, milestones, and agile tracking of features and bug fixes. It utilizes a modular plugin-based architecture to translate diverse third-party API schemas into a unified internal format, facilitating cross-platform collaboration and the integration of external code repositories into a single shared environment.

Kan is a self-hosted kanban project management tool that organizes work into boards, lists, and cards. It provides a REST API for managing all project resources, including boards, cards, labels, checklists, comments, and attachments, with standard HTTP responses for every request. The application supports granular permission and role management at both the workspace and board level, allowing administrators to control access to resources and actions. It includes webhook support for receiving card event notifications, and offers integration capabilities for importing projects from Trello and GitHub. File attachments are handled through S3-compatible storage, with support for presigned upload URLs and private file access. Kan provides workspace management features including invitation links, member role assignment, and the ability to create and organize multiple boards within a workspace. The system includes search functionality for boards and cards by title, card activity history tracking, and application health monitoring. Users can configure email notifications through SMTP settings and toggle public user registration. The project can be deployed on private infrastructure using Docker Compose with PostgreSQL and S3-compatible storage, or used through a hosted cloud solution.

Plane is a project management platform designed for planning, tracking, and delivering complex organizational tasks. It provides a centralized workspace that utilizes hierarchical structures to organize work into epics and initiatives, enabling automated progress tracking across teams without requiring manual status updates. The platform distinguishes itself through an integrated artificial intelligence engine that coordinates tasks, retrieves live data, and automates repetitive workflows by analyzing project history and documentation. It supports enterprise-grade requirements by offering self-hosted deployment options for private or air-gapped networks, ensuring full control over data sovereignty and security. Additionally, the system incorporates a configuration-as-code approach, allowing teams to manage workspace settings and infrastructure through version-controlled files for consistent, auditable deployments. Beyond its core management capabilities, the platform includes tools for request triage, time-boxed work cycle tracking, and collaborative knowledge management. It features a modular architecture that supports custom integrations and third-party plugins, alongside mobile-optimized interfaces for cross-platform access. Administrative governance is handled through visual workflow configuration, which allows teams to define custom state transitions, approval gates, and granular role-based access controls.

This project is a community-curated directory of open-source software designed for deployment in private server environments and home labs. It serves as a comprehensive resource for discovering independent, self-hosted alternatives to mainstream cloud services, enabling users to maintain full data ownership and control over their digital infrastructure. The directory is structured through a hierarchical taxonomy that organizes a vast collection of applications into logical categories, ranging from media management and data analytics to private communication and team productivity tools. It distinguishes itself through a collaborative peer-review process, where community members validate the quality and relevance of each submission to ensure the directory remains accurate and reliable. The project covers a broad capability surface, including infrastructure automation, container-based service deployment, and declarative configuration management. These tools assist users in maintaining reproducible server environments and managing complex service dependencies across private hardware. The directory is maintained as a version-controlled repository, ensuring that all updates and community-driven changes are tracked and transparent.

This project is an autonomous, multi-model orchestrator designed to manage the full software development lifecycle through a command-line interface. It functions as an intelligent agent that decomposes high-level product goals into actionable, prioritized subtasks, manages dependency graphs, and executes development cycles. By automating requirement parsing, technical research, and task tracking, it maintains project alignment and momentum throughout the implementation process. The system distinguishes itself through a provider-agnostic abstraction layer that allows users to assign specific artificial intelligence models to primary, research, or fallback roles. It supports both cloud-based services for broad reasoning capabilities and local model execution to ensure data privacy and offline functionality. Furthermore, the platform integrates live web research directly into the task management workflow, enabling agents to generate complexity scores and validate technical decisions against current industry patterns before writing code. Beyond core orchestration, the tool provides a comprehensive framework for managing task metadata, parallel workstreams, and team collaboration. It includes features for real-time task monitoring, automated documentation generation, and integration with development environments through standardized communication protocols and editor extensions. The system is configured via local environment files, which handle secure credential management and allow for the optimization of active tools to balance context window usage.

Wekan is an open-source, self-hosted Kanban project management tool used for organizing workflows through boards, lists, and cards. It is a real-time web application that allows teams to manage tasks on private infrastructure. The platform distinguishes itself with extensive data migration tools, specifically for importing boards and cards from Trello. It supports enterprise-grade identity integration via LDAP, OpenID Connect, and OAuth2, and offers flexible storage options including PostgreSQL as a primary relational backend and pluggable cloud storage for attachments. The system covers a wide range of task management capabilities, including Gantt chart visualizations, time tracking, and cross-board task aggregation. It includes administrative tools for role-based access control, automated backup scheduling, and programmatic extensibility through a REST API and event-driven webhooks. The application is available for deployment via Docker and supports multi-tenant configurations.

This project is a curated knowledge repository and technical leadership compendium designed to support the professional development of technology executives. It serves as a centralized reference library that aggregates industry best practices, literature, and strategic frameworks specifically tailored for individuals navigating the complexities of startup engineering management. The resource distinguishes itself through a hierarchical topic categorization that structures vast amounts of information into a nested taxonomy. This organization allows users to efficiently navigate professional domains such as people management, product strategy, and project management, ensuring that high-stakes decision-making and organizational leadership topics remain accessible. The repository covers a broad capability surface, including engineering hiring and retention, process optimization, and technical leadership development. It functions as a living collection of resources maintained through a community-driven workflow, where updates and additions are managed via a version-controlled platform.

Taskcafe is a self-hosted task management system and collaborative work management platform. It provides a private workspace for organizing work through a variety of interfaces, including Kanban boards, hierarchical outlines, and calendars. The platform is designed for containerized deployment, orchestrating the application, database, and cache to ensure consistent environment management. It distinguishes itself by offering project portfolio dashboards for high-level monitoring and the ability to create public project boards that allow external visitors to view content without authentication. The system covers a broad range of project planning and tracking capabilities, such as timeline charts for visualizing dependencies, shared workspaces for team collaboration, and task-specific activity logs. It also includes automation rules for triggering actions based on task conditions and integration with external version control systems to sync development tasks with code commits.

Spec-kit is a specification-driven development framework designed to manage the entire software project lifecycle, from initial requirements gathering to final validation. It functions as a command-line environment that orchestrates complex development workflows by chaining shell tasks, human checkpoints, and conditional logic into repeatable, state-aware sequences. By enforcing formal specifications and organizational guardrails before technical implementation begins, the system ensures that project goals and requirements remain the foundation for all subsequent development activities. The platform distinguishes itself through a modular architecture that integrates directly with automated coding agents, providing a bridge that defines context rules, directory structures, and governing principles for AI-assisted development. It utilizes a layered configuration manager to resolve settings, templates, and environment variables across multiple sources, ensuring consistent standards across diverse development environments. Developers can further customize project behavior and extend core functionality by installing modular extensions and community-contributed presets from a centralized registry, allowing for the dynamic discovery of custom commands and quality gates. Beyond its core orchestration capabilities, the system provides comprehensive tools for technical planning and quality assurance. It automates the translation of high-level requirements into actionable task lists, validates implementation plans against project artifacts to identify inconsistencies, and generates custom quality checklists. These features allow teams to clarify project expectations and manage the implementation lifecycle through tracked issues, maintaining alignment between organizational standards and technical execution.

Taskbook is a command-line task manager and local plain-text organizer that provides a terminal user interface for managing to-do lists, project boards, and notes. It functions as a CLI Kanban board, allowing users to group actionable items and informational snippets into categorized boards. The tool emphasizes local data organization by storing information in local files with customizable storage paths. It supports a Kanban-style workflow where tasks are organized into boards and tracked through pending, in-progress, and complete states. The system includes capabilities for prioritizing tasks with numeric levels, marking favorites, and visualizing items via a chronological timeline. Users can search and filter entries, assign descriptive tags for categorization, and recover deleted items through an archive-based recovery system. Operational preferences and data directories are managed through a configuration file.

Tqdm is a terminal-based progress indicator that provides real-time visual feedback for long-running tasks and data processing pipelines. It functions as an iteration tracking wrapper, allowing developers to monitor the completion status of loops and data streams by wrapping standard iterables without modifying the underlying data source. The project distinguishes itself through its use of terminal escape sequences to render dynamic text and graphical bars that update in place. It supports both automatic tracking of iterable collections and manual progress incrementing for non-linear tasks where the total workload is not known upfront. By calculating real-time throughput and elapsed time, it provides diagnostic information such as estimated completion times and processing rates. The library includes capabilities for managing the lifecycle of progress indicators through context managers and supports descriptive labeling to clarify active operations. It adapts to various input types by detecting length attributes or iterators and offers asynchronous hooks for custom logic execution during the iteration process.

Worklenz is a project management platform and professional services automation tool designed for planning work, tracking tasks via Kanban boards, and managing team collaboration. It functions as a combined resource management tool and time tracking software, providing a centralized workspace to analyze team capacity, balance workloads, and log work hours. The platform is distinguished by its deep integration with GitHub and Slack, allowing for the synchronization of repository activity and the delivery of real-time project notifications to external communication channels. It further streamlines professional service delivery through the use of reusable project templates and automated workflows to accelerate the setup of new client engagements. The system covers a broad range of operational capabilities, including financial management for budget and revenue tracking, resource capacity planning to optimize personnel allocation, and comprehensive task management with dependency mapping and timeline visualization. Collaboration is supported through dedicated team spaces and client progress portals that provide read-only views of milestones. The project supports installation on private infrastructure using Docker containerized bundles or external cloud service configurations.

This project is a static site generator designed to transform plain text content into pre-rendered web documents. It functions as a content platform that separates structural information from presentation, utilizing lightweight markdown formatting to ensure portability and ease of maintenance. The platform is built on a dependency-free execution model, operating without external libraries or frameworks to minimize security risks and support long-term stability. It integrates a technical governance framework and a software engineering manifesto, providing a structured set of principles and decision-making criteria to align contributors on quality expectations and project direction. Beyond its core generation capabilities, the project provides a framework for collaborative governance and declarative configuration management. It codifies software development best practices and contribution workflows to maintain consistent standards across distributed teams. The repository is managed through git-based version control to facilitate auditability and collaborative editing.

This project is a markdown kanban board and visual task organizer. It serves as a productivity extension for personal knowledge management, providing a board-based system to manage task status and progress through a drag-and-drop interface. The tool implements a kanban workflow by converting plain markdown files into draggable columns. This allows for the visualization of work stages and the organization of project tasks within a local knowledge base. The system covers project management and visual task tracking by structuring unstructured notes and lists into interactive boards. It uses markdown files to store all board layouts and card data, ensuring compatibility with plain text editors.

AFFiNE is a collaborative knowledge base and productivity suite designed as a private-first, local-first platform. It provides an integrated workspace that combines structured documents with an infinite digital canvas, allowing users to organize complex information through a block-based model. By prioritizing local data persistence, the platform ensures immediate responsiveness and data sovereignty while maintaining a distributed state for real-time synchronization across multiple devices. The platform distinguishes itself through a canvas-integrated database engine that enables transitions between free-form whiteboarding and structured tabular views. It utilizes conflict-free replicated data types to manage concurrent edits, ensuring consistent collaboration. Users can extend the workspace with modular artificial intelligence integrations, which use natural language prompts to generate, summarize, and transform content into various visual or structured formats. The software is built for self-hosting, allowing teams to maintain full control over their data and infrastructure. It supports container-orchestrated deployment, providing tools for managing private workspaces, authentication, and production-ready environments. The system is designed to be installed and configured on personal or team-managed infrastructure, ensuring that all sensitive information remains within a private, secure, and scalable environment.

Kanboard is a self-hosted Kanban project management tool and productivity suite designed for tracking software tasks and team collaboration. It provides a visual system for managing workflows through the use of boards, columns, and cards. The project features an extensible plugin framework and a comprehensive API for programmatic task and project administration. It includes specialized identity management through LDAP integration, allowing for the synchronization of user accounts and group permissions from directory servers. The system covers a wide range of capabilities, including event-driven workflow automation, detailed project analytics such as burn-down charts and cycle time measurement, and granular role-based access control. It also supports integrated time tracking, subtask decomposition, and multi-method authentication including two-factor authentication and reverse proxy support. The application is compatible with MySQL and PostgreSQL for persistent data storage and can be deployed using Docker Compose.

This project is an educational resource designed to lower the barrier to entry for new developers learning how to participate in open-source software development. It provides a safe, guided practice environment where beginners can master the fundamental workflows required to contribute to public repositories. The project distinguishes itself by offering a hands-on, interactive tutorial that walks users through the complete lifecycle of a contribution. By following structured steps—including forking, branching, committing, and submitting a pull request—participants gain practical experience with distributed version control systems. This process is specifically curated to build confidence in novice developers as they navigate the standard procedures of technical communities. Beyond the core tutorial, the repository covers essential best practices for collaborative development, such as identifying suitable projects, reading documentation, and adhering to community guidelines. The entire experience is documented through plain text files, ensuring that the learning materials remain accessible and easy to follow for anyone starting their journey in open-source collaboration.

Backlog.md is a local-first project tracker and Markdown task manager that stores project data as plain text files in a local folder. It functions as a command-line interface tool for creating and organizing tasks and as a Kanban board visualizer that renders these task lists into interactive web and terminal interfaces. The project serves as an AI agent workflow orchestrator, providing a protocol that allows AI assistants to decompose high-level ideas into actionable tasks and implementation plans. It ensures a standardized definition of done by automatically applying reusable, project-wide checklists to every new task to maintain consistent quality and acceptance criteria. The system covers task lifecycle management and progress tracking through interactive Kanban boards with drag-and-drop functionality. It includes utilities for fuzzy project search across documentation and decision logs, as well as tools for exporting the current board state into Markdown reports. An interactive configuration wizard is provided to define global preferences for version control, editor selection, and identification formatting.