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Set of tools for analyzing workload execution on ArmoniK.

Project description

ArmoniK Analytics

Set of tools for analyzing workload execution on ArmoniK.

License Python Version Docs

Overview

TODO

Features

TODO

Installation

Prerequisites

  • Python 3.10
  • pip (Python package installer)

Setting up a Virtual Environment

It's a good practice to use a virtual environment to isolate your project dependencies. Create a virtual environment using venv:

python3 -m venv .venv

Activate the virtual environment:

  • On Windows:
.\.venv\Scripts\activate
  • On Unix or MacOS:
source .venv/bin/activate

Installing the project using pip

Once the virtual environment is activated, you can install the project using pip.

pip install armonik_analytics

This will install the project and its dependencies.

Installing the project from sources

You can also intall the project from sources by cloning the repository.

git clone git@github.com:aneoconsulting/armonik_analytics.git

Navigate to the project directory and run:

pip install .

For development, you might want to install additional packages for testing, linting, etc. Install the development dependencies using:

pip install -e .[dev,tests]

Contributing

Contributions are always welcome!

See CONTRIBUTING.md for ways to get started.

License

Apache Software License 2.0

Project details


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armonik_analytics-0.0.2.tar.gz (15.6 kB view hashes)

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armonik_analytics-0.0.2-py3-none-any.whl (8.8 kB view hashes)

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