Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create beautiful charts. It features a chart builder, editable dashboards, embedable charts, query & requests editor, and team capabilities.
If you are looking for Chartbrew as a service, it's available here.
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Currently, Chartbrew supports connections to these data sources.
- MySQL
- PostgreSQL
- MongoDB
- Firestore
- Google Analytics
- REST APIs
Chartbrew also features dashboard templates with charts already prepared:
- Simple Analytics
- ChartMogul
- Mailgun
- Google Analytics
...or you can create your custom templates and replicate them across multiple dashboards.
- NodeJS v12 (should also work with v10)
- For M1 Macs you might need the latest v14 or v15
- NPM
- MySQL (5+) or PostgreSQL (12.5+)
It is recommended you head over to the more detailed documentation to find out how to set up Chartbrew
If you already have a MySQL or PostgreSQL server running, create a database called chartbrew
and follow the prompts of the create-chartbrew-app
command below.
Important Windows command line is not supported at the moment. Use something like Cygwin on Windows.
npx create-chartbrew-app chartbrew
The CLI tool creates a chartbrew/.env
file which you can configure at any time if you want to change the database, API & client host, etc. The file contains comments explaining what each environmental variable is for. Check out which need to be set here.
Open two terminals, one for front-end and the other for back-end.
# frontend
cd client/
npm run start
# backend
cd server/
npm run start-dev
Check the full guide in the docs.
Run the following commands and configure the variables:
docker pull razvanilin/chartbrew
docker run -p 3210:3210 -p 3000:3000 \
-e CB_SECRET=<enter_a_secure_string> \
-e CB_API_HOST=0.0.0.0 \
-e CB_API_PORT=3210 \
-e CB_DB_HOST=host.docker.internal \
-e CB_DB_NAME=chartbrew \
-e CB_DB_USERNAME=root \
-e CB_DB_PASSWORD=password \
-e REACT_APP_CLIENT_HOST=http://localhost:3000 \
-e REACT_APP_API_HOST=http://localhost:3210 \
razvanilin/chartbrew
Many thanks to everybody that contributed to this open-source project π