dashAI 0.2.4

Quick installation (Pypi)

DashAI needs Python 3.10 or greater to be installed. Once that requirement is satisfied, you can install DashAI via pip:

$ pip install dashai

Then, to initialize the server and the graphical interface, run:

$ dashai

Finally, go to http://localhost:3000/ in your browser to access to the DashAI graphical interface.

Test datasets

Some datasets you can use to try DashAI are available here.

Development

To download and run the development version of DashAI, first, download the repository and switch to the developing branch:

$ git clone https://github.com/DashAISoftware/DashAI.git
$ git checkout develop

$ cd DashAI/front
$ yarn install

$ cd DashAI/front

$ yarn start

$ cd DashAI/back

$ pip install -r requirements.txt
$ pip install -r requirements-dev.txt
$ pre-commit install

$ python -m DashAI

$ pip install . -e
$ dashai

Optional Flags

Setting the local execution path

With the –local-path (alias -lp) option you can determine where DashAI will save its local files, such as datasets, experiments, runs and others. The following example shows how to set the folder in the local .DashAI directory:

$ python -m DashAI --local-path "~/.DashAI"

Setting the logging level

Through the –logging-level (alias -ll) parameter, you can set which logging level the DashAI backend server will have.

$ python -m DashAI --logging-level INFO

The possible levels available are: DEBUG, INFO, WARNING, ERROR, CRITICAL.

Note that the –logging-level not only affects the DashAI loggers, but also the datasets (which is set to the same level as DashAI) and the SQLAlchemy (which is only activated when logging level is DEBUG).

Disabling automatic browser opening

By default, DashAI will open a browser window pointing to the application after starting. If you prefer to disable this behavior, you can use the –no-browser (alias -nb) flag:

$ python -m DashAI --no-browser

Checking Available Options

You can check all available options through the command:

$ python -m DashAI --help

Testing

Execute tests

DashAI uses pytest to perform the backend tests. To execute the backend tests

1. Move to DashAI/back

$ cd DashAI/back

2. Run:

$ pytest tests/

Acknowledgments

This project is sponsored by the National Center for Artificial Intelligence - CENIA (FB210017), and the Millennium Institute for Foundational Data Research - IMFD (ICN17_002).

The core of the development is carried out by students from the Computer Science Department of the University of Chile and the Federico Santa Maria Technical University.

To see the full list of contributors, visit in Contributors the DashAI repository on Github.