
WeKan
WeKan is an open-source kanban board built with Meteor — a free, self-hosted Trello alternative for tracking tasks, lists, cards, and shared team workflows with full control.
Open source alternative to:
WeKan is a completely open-source, self-hosted collaborative kanban board application licensed under MIT. Built with the Meteor full-stack JavaScript framework, it provides a real-time, drag-and-drop interface for managing tasks visually across teams of any size.
WeKan supports swimlanes, WIP limits, checklists, card comments, file attachments, and custom fields — giving teams the flexibility to adapt their boards to any workflow. With translations into 105+ languages, it is used in most countries worldwide, with the largest deployment supporting over 30,000 users.
Available via Docker, Snap, and source installation, WeKan makes it easy to self-host on any infrastructure. The project is actively maintained with frequent releases and a strong focus on security. For teams wanting a Trello-like experience they fully control, WeKan is one of the most mature and widely-adopted open-source kanban solutions available.
OpenAltFinder Score
Project Details
Repository details
Updated 10/10/2026, 9:00:29 PM
View RepositoryRepository activity
Compare WeKan with
Similar open source alternatives
Windshift
Self-hosted work management platform combining task tracking, workflow automation, and team collaboration in a single deployable app.
Asana
Kanboard
Free, open source Kanban project management software focused on simplicity and visual task tracking.
Trello
Focalboard
Focalboard is an open-source, self-hosted project management tool — a free alternative to Trello, Notion, and Asana for boards, docs, and team planning across every workflow.
Trello
Kan
Modern, open source Trello alternative with kanban boards, lists, cards, and collaborative project tracking.
Trello
Paca
AI-native open-source project management platform for Scrum and Kanban teams.
Jira
Tale
Open-source workspace where teams and AI agents plan tasks, run them in sandboxes, and review results together.
Lindy AI



