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Rampy is a Python library that aims at helping processing spectroscopic data, such as Raman, Infrared or XAS spectra.

• Documentation: https://charlesll.github.io/rampy/html/index.html
• Examples https://github.com/charlesll/rampy/tree/master/examples
• Source code: https://github.com/charlesll/rampy/tree/master/rampy
• Contributing: https://github.com/charlesll/rampy/blob/master/CONTRIBUTING.md
• Bug reports: https://github.com/charlesll/rampy/issues
• Contact [email protected]

Rampy offers various functions to, for instance, subtract baselines, resample and smooth spectra... It aims at facilitating the use of Python in processing spectroscopic data. It integrates within a workflow that uses Numpy/Scipy/Matplotlib as well as optimisation libraries such as lmfit, emcee or PyMC3, for instance.

See the documentation for more information.