Flimflam is a data management system written in Python that manages trial data used in clinical inflammation studies.
Here are some key features of Flimflam:
- Provide basic statistical analyses over clinical trial data
- Ability to work on trial data in Comma-Separated Value (CSV) format
- Generate plots of trial data
- Analytical functions and views can be easily extended based on its Model-View-Controller architecture
Flimflam requires the following Python packages:
- NumPy - makes use of NumPy's statistical functions
- Matplotlib - uses Matplotlib to generate statistical plots
The following optional packages are required to run Flimflam's unit tests:
- pytest - Flimflam's unit tests are written using pytest
- pytest-cov - Adds test coverage stats to unit testing
- Clone the repo
git clone repo - Install via
pip install -e . - Check everything runs by running
pytestin the root directory - Hurray 😊
- Create an issue here
- What works, what doesn't? You tell me
- Randomly edit some code and see if it improves things, then submit a pull request
- Just yell at me while I edit the code, pair programmer style!
- Nice try
- Directed by Michael Bay
Please cite J. F. W. Herschel, 1829, MmRAS, 3, 177 if you used this work in your day-to-day life.
Please cite C. Herschel, 1787, RSPT, 77, 1 if you actually use this for scientific work.
This source code is protected under international copyright law. All rights reserved and protected by the copyright holders. This file is confidential and only available to authorized individuals with the permission of the copyright holders. If you encounter this file and do not have permission, please contact the copyright holders and delete this file.