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\n\n**pyPESTO** is a widely applicable and highly customizable toolbox for\nparameter estimation.\n\n[](https://badge.fury.io/py/pypesto)\n[](https://travis-ci.com/ICB-DCM/pyPESTO)\n[](https://codecov.io/gh/ICB-DCM/pyPESTO) [](https://www.codacy.com/app/dweindl/pyPESTO?utm_source=github.com&utm_medium=referral&utm_content=ICB-DCM/pyPESTO&utm_campaign=Badge_Grade)\n[](https://pypesto.readthedocs.io)\n[](https://zenodo.org/record/2600850#.XVuwkHduJfF)\n\n## Feature overview\n\npyPESTO features include:\n\n* Multi-start local optimization\n* Profile computation\n* Result visualization\n* Interface to [AMICI](https://github.com/ICB-DCM/AMICI/) for efficient simulation and sensitivity analysis of ordinary differential equation (ODE) models\n* Parameter estimation pipeline for systems biology problems specified in [SBML](http://sbml.org/) and [PEtab](https://github.com/ICB-DCM/PEtab)\n\n## Quick install\n\nThe simplest way to install **pyPESTO** is via pip:\n\n```shell\npip3 install pypesto\n```\n\nMore information is available here:\nhttps://pypesto.readthedocs.io/en/latest/install.html\n\n## Documentation\n\nThe documentation is hosted on readthedocs.io:\n\n\n## Examples\n\nMultiple use cases are discussed in the documentation. In particular, there are\njupyter notebooks in the [doc/example](doc/example) directory.\n\n## Contributing\n\nWe are happy about any contributions. For more information on how to contribute\nto pyPESTO check out\n\n\n## References\n\n[**PESTO**](https://github.com/ICB-DCM/PESTO/):\nParameter estimation toolbox for MATLAB. Development is discontinued, but PESTO\ncomes with additional features waiting to be ported to pyPESTO.",
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