scidash/sciunit repository overview

Master	Dev

⁠SciUnit: A Test-Driven Framework for Formally Validating Scientific Models Against Data

⁠Concept

The conference paper⁠

⁠Documentation

Chapter 1⁠ / Chapter 2⁠ / Chapter 3⁠ /

⁠Basic Usage

my_model = MyModel(**my_args) # Instantiate a class that wraps your model of interest.  
my_test = MyTest(**my_params) # Instantiate a test that you write.  
score = my_test.judge() # Runs the test and return a rich score containing test results and more.  

⁠Domain-specific libraries and information

NeuronUnit⁠ for neuron and ion channel physiology
See others here⁠

⁠Mailing List

There is a mailing list⁠ for announcements and discussion. Please join it if you are at all interested!

⁠Contributors

• Rick Gerkin⁠, Arizona State University (School of Life Science)
• Cyrus Omar⁠, Carnegie Mellon University (Dept. of Computer Science)

⁠Reproducible Research ID

RRID:SCR_014528⁠

⁠License

SciUnit is released under the permissive MIT license⁠, requiring only attribution in derivative works. See the LICENSE file for terms.