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.

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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


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