Drivers for the experimental setup and tools for data acquisition and analysis.
Project description
ktaga-lab
Overview
ktaga-lab contains programs for experiments in Onolab. This repository is designed to facilitate various experimental setups and data analysis tasks.
Features
- Experiment setup scripts
- Data analysis tools
- Reproducible research environment
Prerequisites
To run this project, you need to install either of the following dependencies:
- pip
- Poetry (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 Poetry.
Setup
Installation using Poetry
-
Install Poetry:
- Linux/macOS:
curl -sSL https://install.python-poetry.org | python3 -
- Windows (PowerShell):
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
- Linux/macOS:
-
Setup environment
Please make a pyproject.toml file in your directory for experiment or analysis. You can use a template file
pyproject-env.toml
provided in the repository. After creating the file, run the following command to install the dependencies:poetry install
-
Install ktaga-lab:
poetry add ktaga-lab
-
Run the application:
poetry 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
Installation using Docker
-
Clone the repository:
git clone https://github.com/hoopdev/ktaga-lab.git cd ktaga-lab
-
Build the Docker image: Use the
Dockerfile
provided in the repository:docker build -t ktaga-lab .
-
Run the Docker container:
docker run --rm -p 8888:8888 ktaga-lab
Access the application
Open your web browser and navigate to http://localhost:8888
to access the JupyterLab interface.
Usage
To use the tools and scripts provided in this repository, follow the instructions in the respective directories and files. Detailed documentation for each tool and script can be found within the repository.
License
This project is licensed under the MIT License. See the LICENSE
file for more details.
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