Installing CLI

Apolo Web Shell application doesn't require installation and can quickly get you familiar with Apolo, allowing you to work with the platform in a browser.

Installing Apolo CLI locally can be more efficient for long-term use, as your source code and other local files will be stored directly on your machine. Additionally, using Apolo CLI provides you with more flexible and extensive functionality, allowing for greater control and customization of your development environment.

Installation instructions

Linux and Mac OS

Installing via pipx

Our apolo-all package available in pipx will automatically install all required components:

pip install pipx
pipx install apolo-all
pipx upgrade apolo-all

Installing via pip

You can also install all of the components through pip.

Apolo CLI requires Python 3 installed (recommended: 3.8; required: 3.7.9 or newer). We suggest using the Anaconda Python 3.8 Distribution.

pip install -U apolo-cli apolo-extras apolo-flow
apolo login [API URL]

API URL for ScottData : https://api.apolo.scottdata.ai/api/v1

If your machine doesn't have GUI, use the following command instead of apolo login:

apolo config login-headless

Windows

Installing via pipx

Our apolo-all package available in pipx will automatically install all required components:

pip install pipx
pipx install apolo-all
pipx upgrade apolo-all

Installing via pip

You can also install all of the components through pip.

We highly recommend using the Anaconda Python 3.8 Distribution with default installation settings.

When you have it up and running, run the following commands in Conda Prompt:

conda install -c conda-forge make
conda install -c conda-forge git    
pip install -U apolo-cli apolo-extras apolo-flow
pip install -U certifi
apolo login [API URL]

API URL for ScottData : https://api.apolo.scottdata.ai/api/v1

To make sure that all commands you can find in our documentation work properly, don't forget to run bash every time you open Conda Prompt.