Drivers and dependencies for the experimental setup and tools for data acquisition and analysis.
Project description
ktaga-lab
Overview
ktaga-lab contains programs and dependencies for experiments in Onolab. This repository is designed to facilitate various experimental setups and data analysis tasks.
Prerequisites
To run this project, you need to install either of the following dependencies:
- pip
- uv (recommended)
- Docker (for analysis only)
Docker can be used for only data analysis tasks. For experiment setup, you need to install the dependencies using pip or uv.
Setup
Installation using uv
-
Install uv:
- Windows (PowerShell):
winget install astral-sh.uv
- Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
- macOS:
brew install uv
-
Setup environment
uv init
This command will create a
pyproject.toml
file in the current directory.uv venv
This command will create a virtual environment in the current directory.
-
Install ktaga-lab:
uv add ktaga-lab uv sync -U
-
Run the application:
uv run jupyter lab
Installation using pip
You can also install the package using pip. Run the following command to install the package:
pip install ktaga-lab
Deploy using Docker
- Copy .env.example to .env and set the environment variables. You can set the following environment variables:
- NotebookDir: The directory where the jupyter notebooks are stored. By default, it is set to OneDrive directory, which is shared between the host and the container.
-
Clone the repository:
git clone https://github.com/hoopdev/ktaga-lab.git cd ktaga-lab
-
Run the Docker compose:
docker compose up
Access the application
Open your web browser and navigate to http://localhost:8888
to access the JupyterLab interface.
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