DataSMART

DataSMART is designed to manage data and processing pipelines in science labs. Click the docs badge above to learn about it.

This project is under heavy development...

How to run demo

Make sure conda is installed before, and you have a running mongod at 127.0.0.1:27017.

1. git clone the project, say, under ~/Research/datasmart.

2. cd ~/Research/datasmart

3. ./install_python_env.sh

4. . activate datasmart

5. ./install_config_core.py

6. ./install_action.py ../datasmart-demo demo/school_grade_input

7. change directory to ../datasmart-demo and then

   . activate datasmart
   export PYTHONPATH="${HOME}/Research/datasmart:$PYTHONPATH"
   jupyter notebook

8. run notebook demo_school_grade_input.ipynb

9. optionally, you can also try the manual interface, by running ./start_demo_school_grade_input.sh