A basic science lab framework aimed at reproducibility and lab management. This package is in the very early stages of development.
- Easily use math functions to dilute solutions, calculate molarity, etc.
- Backup your documents using the command-line
- Manage lab inventory using a GUI
- Create and manage new projects using the command-line
- Clone this repository.
- Change to the downloaded repository's base directory.
pip install .
If you want to develop or contribute to this package, install with pip install -e .
from labrat.math import dilute_stock
# Get the final concentration
dilute_stock(100, 2, **{'vF': 4})Create a new project using the below code. This will create a .labrat file that contains the project information for
any project created.
# Create a new project
import os
from labrat.project import ProjectManager
# Initialize the ProjectManager with a username
project_manager = ProjectManager('Dr. Jane Doe')
# Create a new project
project_manager.new_project(
project_type='computational-biology',
project_name='KARG Analysis',
project_path=os.getcwd(),
description="Analyze the KARG data."
)Archive a project:
from projectmanager import ProjectManager
project_manager = ProjectManager()
project_path = "/Users/shutchens/Documents/Git-Repos/labrat/karg_analysis"
archive_base_dir = "/Users/shutchens/Archive"
archive_dir = project_manager.archive_project(project_path=project_path, archive_base_dir=archive_base_dir)Delete a project:
# Path to the project to delete
project_path = "/Users/shutchens/Documents/Git-Repos/labrat/karg_analysis"
archive_base_dir = "/Users/shutchens/Archive"
# Delete the project
archived_path = project_manager.delete_project(project_path, archive_base_dir)- Add a lab inventory app
- Add project report template
- Command-line functionality
- Integrate exmemo
Shaurita Hutchins · @sdhutchins · 📧
If you would like to contribute to this package, install the package in development mode, and check out our contributing guidelines.
