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Planka

David (path) Docker Cloud Build Status GitHub

A Trello-like kanban board built with React and Redux.

Client demo (without server features).

Features

  • Create projects, boards, lists, cards, labels and tasks
  • Add card members, track time, set a due date, add attachments, write comments
  • Markdown support in a card description and comment
  • Filter by members and labels
  • Customize project background
  • Real-time updates
  • User notifications
  • Internationalization

Deploy

Please note that Planka is NOT released yet, API and database structure may be changed!

Docker Compose

  • Make sure you have Docker and Docker Compose installed and operational.
  • Create docker-compose.yml based on the example. This is the ONLY file you will need. You can create this file on your own machine by copy and pasting the content.
  • Edit BASE_URL to match your domain name or IP address.
  • Edit SECRET_KEY with random value. You can generate it by openssl rand -hex 64.

Download the docker-compose.yml:

curl -L https://raw.githubusercontent.com/plankanban/planka/master/docker-compose.yml -o docker-compose.yml

Pull images and start services:

docker-compose up -d

Demo user: demo@demo.demo demo

Development

Clone the repository and install dependencies:

git clone https://github.com/plankanban/planka.git

cd planka
npm install

Either use a local database or start the provided development database:

docker-compose -f docker-compose-dev.yml up

Edit DATABASE_URL in .env file if needed, then initialize the database:

npm run server:db:init

Start the development server:

npm start

Demo user: demo@demo.demo demo

Tech stack

  • React, Redux, Redux-Saga, Redux-ORM, Semantic UI React, react-beautiful-dnd
  • Sails.js, Knex.js
  • PostgreSQL

Roadmap

  • File attachments
  • Member permissions
  • Fetch last data after reconnection
  • Custom fields
  • Public boards
  • Automatic actions

License

Planka is MIT licensed.

Description
No description provided
Readme 67 MiB
Latest
2025-10-31 15:13:32 +03:00
Languages
JavaScript 95.1%
SCSS 4.5%
Shell 0.2%