Ecosyste.ms: Awesome

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

Awesome Lists | Featured Topics | Projects

https://github.com/pycroscopy/pycroscopy

Scientific analysis of nanoscale materials imaging data
https://github.com/pycroscopy/pycroscopy

afm atom atomic-force-microscopy electron-microscopy fft imaging infrared machine-learning materials-science microscopy raman scanning scanning-probe-microscopy scanning-tunnelling-microscopy signal-processing spectroscopy statistics stem stm visualization

Last synced: 2 days ago
JSON representation

Scientific analysis of nanoscale materials imaging data

Awesome Lists containing this project

README

        

==========
pycroscopy
==========

.. image:: http://pepy.tech/badge/pycroscopy
:target: http://pepy.tech/project/pycroscopy
:alt: Downloads

.. image:: https://github.com/pycroscopy/pycroscopy/workflows/build/badge.svg?branch=main
:target: https://github.com/pycroscopy/pycroscopy/actions?query=workflow%3Abuild
:alt: GitHub Actions

.. image:: https://img.shields.io/pypi/v/pycroscopy.svg
:target: https://pypi.org/project/pyCroscopy/
:alt: PyPI

.. image:: https://codecov.io/gh/pycroscopy/pycroscopy/branch/main/graph/badge.svg?token=HXGZMKzJqb
:target: https://codecov.io/gh/pycroscopy/pycroscopy
:alt: coverage

.. image:: https://img.shields.io/conda/vn/conda-forge/pycroscopy.svg
:target: https://github.com/conda-forge/pycroscopy-feedstock
:alt: conda-forge

.. image:: https://img.shields.io/pypi/l/pycroscopy.svg
:target: https://pypi.org/project/pyCroscopy/
:alt: License

.. image:: https://zenodo.org/badge/61456133.svg
:target: https://zenodo.org/badge/latestdoi/61456133
:alt: DOI

.. image:: https://colab.research.google.com/assets/colab-badge.svg
:target: https://colab.research.google.com/github/pycroscopy/pycroscopy/blob/main/jupyter_notebooks/Intro_to_Pycroscopy.ipynb
:alt: Notebook

pycroscopy is a `python `_ package for generic (domain-agnostic) microscopy data anlaysis. More specialized or domain-specific analysis routines are contained within some of the other packages within the pycroscopy ecosystem.

Please visit our `homepage `_ for more information and installation instructions.

If you use pycroscopy for research, we would appreciate if you could cite our `Arxiv paper `_ titled "USID and Pycroscopy - Open frameworks for storing and analyzing spectroscopic and imaging data"