(2.0 not 100% bacward compatible to 1.10+ this is because I move it to separate compose file):

By default now RBAC is turn on and this mean, that to use Airflow UI you need create user first, for this in db_init service was added also command to create default user:

airflow users create --firstname admin --lastname admin --email admin --password admin --username admin --role Admin

Change your user password and login as you want. By default it is login: admin, password: admin.

docker-compose-with-celery-executor.yml

NOTE: if you previous run Airflow 1.10 - remove your DB volume files before run 2.0 or change db init command to db upgrade.

    git clone https://github.com/xnuinside/airflow_in_docker_compose
    cd airflow_in_docker_compose
    
    docker-compose -f docker-compose-2.0-with-celery-executor.yml up --build

    git clone https://github.com/xnuinside/airflow_in_docker_compose
    cd airflow_in_docker_compose
    docker-compose -f docker-compose-with-celery-executor.yml up --build

Wait until all services will succesfull up & open http://localhost:8080/admin.

UPD from July 2020: Those articles was created before release of official Apache Airflow Docker image and they use puckel/docker-airflow. Now, already exist official image apache/airflow. So this docker-compose files became 'legacy' and all sources moved to 'docker_with_puckel_image'. Main Docker Compose Cluster based on apache/airflow Image

Docker-compose config based on official image (required docker-compose version 3.7 and higher):

docker-compose-with-celery-executor.yml

And env file with config setting for Airflow (used in docker-compose-with-celery-executor.yml): .env

Source files for article with description on Medium.

Apache Airflow with LocalExecutor: https://medium.com/@xnuinside/quick-guide-how-to-run-apache-airflow-cluster-in-docker-compose-615eb8abd67a

Apache Airflow with CeleryExecutor: https://medium.com/@xnuinside/quick-tutorial-apache-airflow-with-3-celery-workers-in-docker-composer-9f2f3b445e4

Install Python dependencies to docker-compose cluster without re-build images https://medium.com/@xnuinside/install-python-dependencies-to-docker-compose-cluster-without-re-build-images-8c63a431e11c

1. Added separate docker-compose file for Apache Airflow 2.0 version

1. Update Apache Airflow version to 1.10.14
2. Change init db command to "airflow db init"

1. Update Apache Airflow version to 1.10.12
2. Update PostgreSQL DB to 13.1
3. Added restart_policy to services in docker-compose

1. All compose files with puckel_image moved to docker_with_puckel_image
2. Creted docker-compose config based on official image (required docker-compose version 3.7 and higher): docker-compose-with-celery-executor.yml And env file with config setting for Airflow (used in docker-compose-with-celery-executor.yml): .env
3. At the bottom of readme added note for Windows 10 users

1. Docker Compose files with puckel images moved to docker_with_puckel_image
2. Added docker-compose-with-celery.yml based on official image.

1. added samples for article https://medium.com/@xnuinside/install-python-dependencies-to-docker-compose-cluster-without-re-build-images-8c63a431e11c (docker-compose-volume-packages.yml, packages.pth, added commented lines to Dockerfile)
2. added .dockerignore

1. Apache Airflow Image was updated to version 1.10.6
2. Added test_dag into airflow_files

If you try to work on Windows 10 & run docker-compose on it you will got an issue for postgres service:

FATAL: data directory "/var/lib/postgresql/data/pgdata" has wrong ownership

To solve this issue you must do additional steps (unfortanutely there is no more quick workaround, check: https://forums.docker.com/t/data-directory-var-lib-postgresql-data-pgdata-has-wrong-ownership/17963/23 and https://forums.docker.com/t/trying-to-get-postgres-to-work-on-persistent-windows-mount-two-issues/12456/5?u=friism):

1. Create docker volume:

   docker volume create --name volume-postgresql -d local

2. in docker-compose.yml: 2.1 add volume at thetop of the file, under 'networks' defining like this:

   networks:
     airflow:
   
   volumes:
     volume-postgresql:
       external: true
   

   2.2 change postgres service volumes:

    was:  
   

     - ./database/data:/var/lib/postgresql/data/pgdata
     - ./database/logs:/var/lib/postgresql/data/log
   

    become:
   

     - volume-postgresql:/var/lib/postgresql/data/pgdata
     - volume-postgresql:/var/lib/postgresql/data/log
   

Or use WSL and run docker under it.

If you never use docker with mount local folders as volumes under WSL possible you need first follow up this article: https://nickjanetakis.com/blog/setting-up-docker-for-windows-and-wsl-to-work-flawlessly#ensure-volume-mounts-work because by default volumes are not mounted correct and you will not see any 'dags' in Airflow.