Website • Docs • Cube.js Schema docs
MLCraft is an open-source low-code business intelligence tool and a data science workflow.
MLCraft was designed to query the data from several data warehouses and run machine learning experiments. Cube.js is used as a primary query layer and makes it suitable for handling trillions of data points.
Most modern RDBMS are supported.
Demo: app.mlcraft.org
Login: demo@mlcraft.io
Password: demodemo
NOTE: Please, install python3, pip3, yarn and node on your host machine before.
git clone https://github.com/mlcraft-io/mlcraft.git
cd mlcraft
bash init.sh
To start UI in dev mode:
python3 cli.py ui
Now visit http://localhost:3000
If you want to schedule a 20-min call with our team to help you get set up, please select some time directly here.
To start containers manually:
python3 cli.py services up
To destroy all services (volumes will still present):
python3 cli.py services destroy
Also check:
python3 cli.py --help
- Low-code Business Intelligence: Adopt analytics as fast as possible.
- Big data in mind: Cube.js allows to query trillions of data points.
- Data schemas: you don't need to write SQL to query the data every time. Thanks to Cube.js data schema files.
- Visualizations: Vega is used to build rich visualizations to analyze the data.
- Dashboards: Place visualizations or tables on custom dashboards.
- Teams: invite your colleagues and manage their permissions.
- AutoML (Soon): Run machine learning experiments and deploy models in a click from the UI.
MLCraft is licensed under the MIT license. See the LICENSE file for licensing information.