==========
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 <http://www.python.org/>`_ 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 <https://pycroscopy.github.io/pycroscopy/about.html>`_ for more information and installation instructions.
If you use pycroscopy for research, we would appreciate if you could cite our `Arxiv paper <https://arxiv.org/abs/1903.09515>`_ titled "USID and Pycroscopy - Open frameworks for storing and analyzing spectroscopic and imaging data"
Raw data
{
"_id": null,
"home_page": "https://pycroscopy.github.io/pycroscopy/about.html",
"name": "pycroscopy",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "EELS, STEM, TEM, XRD, AFM, SPM, STS, band excitation, BE, BEPS, Raman, NanoIR, electron microscopy, scanning probe, x-rays, atomic force microscopy, SIMS, energy, spectroscopy, imaging, microscopy, spectracharacterization, spectrogram, hyperspectral, multidimensional, data format, universal, clustering, decomposition, curve fitting, data analysis, PCA, SVD, NMF, DBSCAN, kMeans, machine learning, bayesian inference, fft filtering, signal processing, image cleaning, denoising, model, msa, quantification",
"author": "Pycroscopy contributors",
"author_email": "pycroscopy@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/c7/40/6cbd46661fbaebfeffc96fa8d04f92eb6dac184f328f2e3587aa259308e2/pycroscopy-0.63.3.tar.gz",
"platform": "Linux",
"description": "==========\npycroscopy\n==========\n\n.. image:: http://pepy.tech/badge/pycroscopy\n :target: http://pepy.tech/project/pycroscopy\n :alt: Downloads\n\n.. image:: https://github.com/pycroscopy/pycroscopy/workflows/build/badge.svg?branch=main\n :target: https://github.com/pycroscopy/pycroscopy/actions?query=workflow%3Abuild\n :alt: GitHub Actions\n \n.. image:: https://img.shields.io/pypi/v/pycroscopy.svg\n :target: https://pypi.org/project/pyCroscopy/\n :alt: PyPI\n \n.. image:: https://codecov.io/gh/pycroscopy/pycroscopy/branch/main/graph/badge.svg?token=HXGZMKzJqb\n :target: https://codecov.io/gh/pycroscopy/pycroscopy\n :alt: coverage\n \n.. image:: https://img.shields.io/conda/vn/conda-forge/pycroscopy.svg\n :target: https://github.com/conda-forge/pycroscopy-feedstock\n :alt: conda-forge\n\n.. image:: https://img.shields.io/pypi/l/pycroscopy.svg\n :target: https://pypi.org/project/pyCroscopy/\n :alt: License\n \n.. image:: https://zenodo.org/badge/61456133.svg\n :target: https://zenodo.org/badge/latestdoi/61456133\n :alt: DOI\n \n.. image:: https://colab.research.google.com/assets/colab-badge.svg\n :target: https://colab.research.google.com/github/pycroscopy/pycroscopy/blob/main/jupyter_notebooks/Intro_to_Pycroscopy.ipynb\n :alt: Notebook\n\npycroscopy is a `python <http://www.python.org/>`_ 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.\n\nPlease visit our `homepage <https://pycroscopy.github.io/pycroscopy/about.html>`_ for more information and installation instructions.\n\nIf you use pycroscopy for research, we would appreciate if you could cite our `Arxiv paper <https://arxiv.org/abs/1903.09515>`_ titled \"USID and Pycroscopy - Open frameworks for storing and analyzing spectroscopic and imaging data\"\n\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Python library for scientific analysis of microscopy data",
"version": "0.63.3",
"project_urls": {
"Homepage": "https://pycroscopy.github.io/pycroscopy/about.html"
},
"split_keywords": [
"eels",
" stem",
" tem",
" xrd",
" afm",
" spm",
" sts",
" band excitation",
" be",
" beps",
" raman",
" nanoir",
" electron microscopy",
" scanning probe",
" x-rays",
" atomic force microscopy",
" sims",
" energy",
" spectroscopy",
" imaging",
" microscopy",
" spectracharacterization",
" spectrogram",
" hyperspectral",
" multidimensional",
" data format",
" universal",
" clustering",
" decomposition",
" curve fitting",
" data analysis",
" pca",
" svd",
" nmf",
" dbscan",
" kmeans",
" machine learning",
" bayesian inference",
" fft filtering",
" signal processing",
" image cleaning",
" denoising",
" model",
" msa",
" quantification"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "4cc85d27a40aadcb88663d217a142983c8e90cf1543c7b3874e810da9a174ab1",
"md5": "2cfcb77bf9d728d1d2178898c9d7cb5c",
"sha256": "55a7e065dd5960ba38a403f72a050e3f91bedb350eb67a7b5e6fe394d0527465"
},
"downloads": -1,
"filename": "pycroscopy-0.63.3-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "2cfcb77bf9d728d1d2178898c9d7cb5c",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 53190,
"upload_time": "2024-06-05T21:32:45",
"upload_time_iso_8601": "2024-06-05T21:32:45.227069Z",
"url": "https://files.pythonhosted.org/packages/4c/c8/5d27a40aadcb88663d217a142983c8e90cf1543c7b3874e810da9a174ab1/pycroscopy-0.63.3-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c7406cbd46661fbaebfeffc96fa8d04f92eb6dac184f328f2e3587aa259308e2",
"md5": "70c95a7bc5ea2cb1f7b7c1b44fee847e",
"sha256": "d51e3733ee829a52ac4839f58e2880baa3488380022d8536d43e2671cdf15ac4"
},
"downloads": -1,
"filename": "pycroscopy-0.63.3.tar.gz",
"has_sig": false,
"md5_digest": "70c95a7bc5ea2cb1f7b7c1b44fee847e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 45763,
"upload_time": "2024-06-05T21:32:48",
"upload_time_iso_8601": "2024-06-05T21:32:48.186802Z",
"url": "https://files.pythonhosted.org/packages/c7/40/6cbd46661fbaebfeffc96fa8d04f92eb6dac184f328f2e3587aa259308e2/pycroscopy-0.63.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-06-05 21:32:48",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "pycroscopy"
}
JSON