Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/charlesll/rampy

Python software for spectral data processing (IR, Raman, XAS...)
https://github.com/charlesll/rampy

baseline infrared python raman smoothing spectroscopy

Last synced: 19 days ago
JSON representation

Python software for spectral data processing (IR, Raman, XAS...)

Host: GitHub
URL: https://github.com/charlesll/rampy
Owner: charlesll
License: gpl-2.0
Created: 2014-07-28T19:33:18.000Z (over 10 years ago)
Default Branch: master
Last Pushed: 2024-08-09T10:43:18.000Z (3 months ago)
Last Synced: 2024-10-02T02:49:53.530Z (about 1 month ago)
Topics: baseline, infrared, python, raman, smoothing, spectroscopy
Language: Python
Homepage:
Size: 31.6 MB
Stars: 218
Watchers: 18
Forks: 61
Open Issues: 9
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

awesome-spectra - rampy

README

        # RamPy

=======

[![Build Status](https://travis-ci.org/charlesll/rampy.svg?branch=master)](https://travis-ci.org/charlesll/rampy)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1168729.svg)](https://doi.org/10.5281/zenodo.1168729) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/charlesll/rampy.git/master)

![GitHub](https://img.shields.io/github/license/charlesll/rampy)

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

- **Documentation:** http://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.