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Karlsruhe Fit Environment 2: a package for fitting and elementary data analysis

Project description

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kafe2 is an open-source Python package designed to provide a flexible Python interface for the estimation of model parameters from measured data. It is the spiritual successor to the original kafe package.

kafe2 offers support for several types of data formats (including series of indexed measurements, xy value pairs, and histograms) and data uncertainty models, as well as arbitrarily complex parametric models. The numeric aspects are handled using the scientific Python stack (NumPy, SciPy, …). Visualization of the data and the estimated model are provided by matplotlib.

While kafe2 supports both Python 2 and Python 3, the use of Python 3 is recommended.

If you encounter any bugs or have an improvement proposal, please let us know by opening an issue here.

Documentation on how to get started, including installation instructions, can be found under kafe2.readthedocs.io.

If you have the package installer for Python just run

pip install kafe2

to install the latest stable version and you’re ready to go.

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