cassini 0.3.1

A tool to structure experimental work, data and analysis using Jupyter Lab.

Cassini

An electronic laboratory notebook (ELN), built inside Jupyter Lab.

Cassini's goal is to help you explore, analyse and organise your data in an environment that's familiar.

https://github.com/user-attachments/assets/efd2359b-dd58-4cbc-991b-f308fe45e227

Features

• Structure your project into a logical hierarchy - no more lost data!
• Retreive any data from anywhere, by name - no more copy and pasting data here there and everywhere!
• Navigate and explore your project through a fast, specialised browser - no more endless clicking through folders!
• Preview summaries of experiment parameters and results, including graphs, temperatures, volumes, weights - no more waiting around for notebooks to launch!
• Define reusable templates for proceedures and analysis - no more copy and pasting code snippets!

Installation and Setup

> pip install cassini

Create a cas_project.py:

# cas_project.py
from cassini import Project, DEFAULT_TIERS    

project = Project(DEFAULT_TIERS, __file__)

if __name__ == '__main__':
    project.launch()

And launch it:

> python cas_project.py

Head to Quickstart for more info.

Contributing

Contributing guidelines are found here.

This includes development installation instructions and codebase orientation.