semvec/pypi-packages huggingface dataset:
kappybara 0.1.4
Work with Kappa rule-based models in Python
Requires Python: >=3.12

# kappybara

[![PyPI](https://img.shields.io/pypi/v/kappybara)](https://pypi.org/project/kappybara)

Kappybara is a Python package for working with rule-based models.
It supports simulation and analysis of a wide variety of systems whose individual components interact as described by rules that transform these components in specified ways and at specified rates.
See our website [kappybara.io](https://kappybara.io) for a tutorial, examples, and documentation.


## Development
Developer requirements can be installed via:
```
pip install -r requirements.txt
```

<details>
<summary> With uv (optional alternative to pip): </summary>
Install [uv](https://docs.astral.sh/uv/getting-started/installation/), then:

```
uv sync --dev
```

To access `uv` dependencies, run your commands through `uv` like
```
uv run python
```

Or, if you want to run commands normally, create a virtual environment:
```
uv venv # Do this once
source .venv/bin/activate # Do this every new shell
```
and run commands as usual. (`deactivate` exits the venv.)

Adding a Python package dependency (this automatically updates pyproject.toml):
```
uv add [package-name]
```

Adding a package as a dev dependency:
```
uv add --dev [package-name]
```
</details>

To run correctness tests, run `pytest`.
Running `./tests/cpu-profiles/run_profiler.sh` will CPU-profile predefined Kappa models and write the results to `tests/cpu-profiles/results`.
We use the Black code formatter, which can be run as `black .`