Project Title

wekan — Open Source Kanban Board Built with Meteor for Real-Time Collaboration

Overview

Wekan is an open-source, real-time collaborative kanban board application built with Meteor. It is designed to help individuals and teams organize their tasks and projects visually, with a focus on flexibility and ease of use. Wekan stands out for its comprehensive feature set, multi-platform support, and commitment to privacy through self-hosting capabilities.

Key Features

Real-time updates and collaboration
Supports various platforms including Docker, Snap, and Meteor
Translated into over 105 languages
Customizable and extensible with a variety of plugins and integrations

Use Cases

Personal task management and to-do lists
Holiday planning with friends
Team collaboration on projects in a business environment

Advantages

Open source and free software, ensuring transparency and community-driven development
Self-hosting capabilities for data privacy and control
Active community and regular updates, ensuring security and feature enhancements

Limitations / Considerations

Minimum 1 GB RAM required, with 4 GB recommended for production servers
Requires regular updates to maintain security, especially for Node.js and other dependencies
May have a steeper learning curve for new users due to its feature-rich nature

Trello: A popular web-based kanban tool, but not open-source and requires a subscription for full features.
Taiga: An open-source project management tool that includes kanban boards, but with a different feature set and user interface.
Kanboard: Another open-source kanban project management software, known for its simplicity and focus on small teams.

Basic Information

GitHub: https://github.com/wekan/wekan
Stars: 20,566
License: Unknown
Last Commit: 2025-09-07

📊 Project Information

Project Name: wekan
GitHub URL: https://github.com/wekan/wekan
Programming Language: JavaScript
⭐ Stars: 20,566
🍴 Forks: 2,949
📅 Created: 2014-01-21
🔄 Last Updated: 2025-09-07

🏷️ Project Topics

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📚 Documentation

This article is automatically generated by AI based on GitHub project information and README content analysis

wekan

Project Description