Metadata-Version: 2.1
Name: petab
Version: 0.1.30
Summary: Parameter estimation tabular data
Home-page: https://github.com/PEtab-dev/libpetab-python
Author: The PEtab developers
Author-email: daniel.weindl@helmholtz-muenchen.de
License: UNKNOWN
Description: [![CI](https://github.com/PEtab-dev/libpetab-python/actions/workflows/ci_tests.yml/badge.svg?branch=main)](https://github.com/PEtab-dev/libpetab-python/actions/workflows/ci_tests.yml)
        [![codecov](https://codecov.io/gh/PEtab-dev/libpetab-python/branch/main/graph/badge.svg)](https://codecov.io/gh/PEtab-dev/libpetab-python)
        [![PyPI version](https://badge.fury.io/py/petab.svg)](https://badge.fury.io/py/petab)
        
        # petab - a Python package for handling PEtab files
        
        [PEtab](https://petab.readthedocs.io/) is a data format for specifying
        parameter estimation problems in systems biology. This repository provides
        the `petab` Python package for reading, writing and validating PEtab files.
        
        ## Documentation
        
        Documentation of the `petab` Python package is available at
        [https://libpetab-python.readthedocs.io/en/latest/](https://libpetab-python.readthedocs.io/en/latest/).
        Documentation of the PEtab format in general is available at
        [https://petab.readthedocs.io/en/latest/](https://petab.readthedocs.io/en/latest/).
        
        ## Installation
        
        The PEtab library is available on [pypi](https://pypi.org/project/petab/)
        and the easiest way to install it is running
        
            pip3 install petab
            
        It will require Python>=3.8 to run. (We are following the
        [numpy Python support policy](https://numpy.org/neps/nep-0029-deprecation_policy.html)).
        
        Development versions of the PEtab library can be installed using
        
            pip3 install https://github.com/PEtab-dev/libpetab-python/archive/develop.zip
        
        (replace `develop` by the branch or commit you would like to install).
        
        When setting up a new parameter estimation problem, the most useful tools will
        be:
        
          - The [PEtab validator](https://petab.readthedocs.io/projects/libpetab-python/en/latest/example/example_petablint.html),
            which is automatically installed using Python
            entrypoints to be available as a shell command from anywhere, called
            `petablint`
        
          - [`petab.create_parameter_df`](https://petab.readthedocs.io/projects/libpetab-python/en/latest/build/_autosummary/petab.parameters.html#petab.parameters.create_parameter_df)
            to create the parameter table, once you have set up the model, 
            condition table, observable table and measurement table
        
          - [`petab.create_combine_archive`](https://petab.readthedocs.io/projects/libpetab-python/en/latest/build/_autosummary/petab.core.html#petab.core.create_combine_archive)
            to create a [COMBINE Archive](https://combinearchive.org/index/) from PEtab
            files
        
        ## Examples
        
        Examples for PEtab Python library usage:
        
        * [Validation](https://github.com/PEtab-dev/libpetab-python/blob/main/doc/example/example_petablint.ipynb)
        * [Visualization](https://github.com/PEtab-dev/libpetab-python/blob/main/doc/example/example_visualization.ipynb)
        
        
        ## Getting help
        
        If you have any question or problems with this package, feel free to post them
        at our GitHub [issue tracker](https://github.com/PEtab-dev/libpetab-python/issues/).
        
        ## Contributing
        
        Contributions and feedback to this package are very welcome, see our
        [contribution guide](https://github.com/petab-dev/libpetab-python/tree/master/CONTRIBUTING.md).
        
Platform: UNKNOWN
Requires-Python: >=3.8.0
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: quality
Provides-Extra: reports
Provides-Extra: combine
Provides-Extra: doc
