CloudBrain is a platform for real-time sensor data analysis and visualization.
- Stream sensor data in a unified format.
- Store sensor data in a central database.
- Analyze sensor data to find patterns.
- Visualize sensor data and patterns in real-time.
- Run:
pip install . --user - If you plan to edit the code, make sure to use the
-eswitch:pip install -e . --user
Optional CloudBrain modules can be installed:
- Analytics modules: pip install .[analytics] --user
- Muse source module: pip install .[muse] --user (Python ``3.*`` only)
python setup.py test
Docker can be used to start modules that don't require connecting to the host machine. It's useful for running the mock source (signal generator) and other processing modules.
docker build -t cloudbrain .
docker run -it -v /path/to/config:/config cloudbrain \
--file /config/name.of.config.file.json
When running other services on a docker network:
docker network create cloudbrain_network
docker run -it -v /path/to/config:/config cloudbrain \
--network cloudbrain_network \
--file /config/name.of.config.file.json
The docker compose setup expects a cloudbrain_network to already be set up with a rabbitmq server named mock-rabbit running. The compose file will load the configuration at ./examples/source.mock.docker.json which can be modified as desired. This will not currently run modules that require connecting to the host machine. It's useful for running the mock source (signal generator) and other processing modules.
docker network create cloudbrain_network
docker run -d --hostname mock-rabbit --name mock-rabbit \
--network cloudbrain_network \
-p 8080:15672 -p 5672:5672 rabbitmq:3-management
docker-compose up
See README.md in cloudbrain/examples for more information about
how to use and chain CloudBrain modules.
For more details on to setup and use CloudBrain, refer to the wiki.
