A test-driven framework for formally validating scientific models against data.
SciUnit: A Test-Driven Framework for Formally Validating Scientific Models Against Data
pip install sciunit
conda install -c conda-forge sciunit
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
There is a mailing list for announcements and discussion. Please join it if you are at all interested!
- Rick Gerkin, Arizona State University (School of Life Science)
- Cyrus Omar, Carnegie Mellon University (Dept. of Computer Science)
Reproducible Research ID
SciUnit is released under the permissive MIT license, requiring only attribution in derivative works. See the LICENSE file for terms.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.