A tool to structure experimental work, data and analysis using Jupyter Lab.
Project description
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.
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 project.py
Head to Quickstart for more info.
Contributing
Contributing guidelines are found here.
This includes development installation instructions and codebase orientation.
Project details
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