Step 1: Launch Faros CE

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Docker Resources
Make sure you have allocated enough resources for Docker. We recommend to allocate at least 4 CPUs, 4GB of RAM and 10GB of disk space.
Depending on your computer and Internet connection speed the process might still take a while at first run.

Install Git and Docker Compose, then open terminal and run:

git clone https://github.com/faros-ai/faros-community-edition.git
cd faros-community-edition
./start.sh

When you see the following banner in your docker-compose logs, Faros CE is ready for use.

The following services will be started and configured:

Service	Description	Management UI
Airbyte	Data integration platform for importing data from a variety of sources (even more sources)	http://localhost:8000
Hasura	GraphQL engine that makes your data accessible over a real-time GraphQL API	http://localhost:8080
Metabase	Business Intelligence (BI) tool for generating metrics and rendering charts and dashboards from your data	http://localhost:3000 - default admin credentials are `[email protected]`/`admin`, see Setting Admin Credentials for how to set them
n8n	Extendable workflow automation engine of top of your data	http://localhost:5678