kubemo 0.0.dev2

ML model deployment made simple

KubeMo

KubeMo aims to simplify ML model deployment by aggregating as many machine-learning frameworks as possible into unified APIs along with the help of cloud-native toolkits.

Installation

KubeMo needs Python (>= 3.7) installed on your device.

From PyPi

KubeMo has been published to PyPi, so you can install it simply by using pip.

pip install kubemo

Note that KubeMo is not ready for production until the first stable release, so you can eithor wait or help us reach the day earlier :)

Manually

Clone or download this repo and install it by using pip in its root directory.

git clone https://github.com/kubemo/kubemo.git && cd kubemo

pip install .

Or add the -e flag if you would like to play around KubeMo before an actual installation.

pip install -e .

Documentation

Check out this site for detailed information about KubeMo, or you may first take a look at some basic examples.

Contribution

Pull requests are welcome. Note that every PR needs to refer to an issue, so please submit an issue before sending a new PR.

Feedbacks

Bugs here and ideas here, thanks.

License

KubeMo is Apache 2.0 licensed.