Readme
Jupyter Tutorials
API Documentation
pip install sciunit
or
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.
NeuronUnit for neuron and ion channel physiology
See others here
There is a mailing list for announcements and discussion. Please join it if you are at all interested!
RRID:SCR_014528
SciUnit is released under the permissive MIT license, requiring only attribution in derivative works. See the LICENSE file for terms.
FAQs
A test-driven framework for formally validating scientific models against data.
We found that sciunit demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Git dependencies in open source packages can introduce significant risks, including lack of version control, stability issues, dependency drift, and difficulty in auditing, making them potential targets for supply chain attacks.
Security News
Node.js has added experimental support for TypeScript, a move that highlights the growing importance of TypeScript in modern development.
Product
Check out what's new at Socket with our Product Changelog. It tracks all public-facing updates, improvements, and fixes so you can take full advantage of our features.