==========
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=phoenix
: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": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"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/6d/db/dec79c86f1855e26a8d64d4a3ac76762ad3b3d08dc80212aeac511f90792/pycroscopy-0.63.2.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=phoenix\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": "0.63.2",
"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": "977cd9f3e12f30168dcb18dbeffa110c41353000cb51749b15eba599e4f6b637",
"md5": "f60caea59e499ab28a869d75c3b01d32",
"sha256": "afd570f34b7a1199b814faa5c3b39518b77b2be13edaea964fda00ec6280752f"
},
"downloads": -1,
"filename": "pycroscopy-0.63.2-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "f60caea59e499ab28a869d75c3b01d32",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 52382,
"upload_time": "2023-08-09T16:09:29",
"upload_time_iso_8601": "2023-08-09T16:09:29.913195Z",
"url": "https://files.pythonhosted.org/packages/97/7c/d9f3e12f30168dcb18dbeffa110c41353000cb51749b15eba599e4f6b637/pycroscopy-0.63.2-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "6ddbdec79c86f1855e26a8d64d4a3ac76762ad3b3d08dc80212aeac511f90792",
"md5": "9dfb6fbfedb549795afdb8d6e2f1560e",
"sha256": "5c7093d97d0f40532e7553aa299185975ebdf47f247b35a363ec79b297d1b770"
},
"downloads": -1,
"filename": "pycroscopy-0.63.2.tar.gz",
"has_sig": false,
"md5_digest": "9dfb6fbfedb549795afdb8d6e2f1560e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 45101,
"upload_time": "2023-08-09T16:09:31",
"upload_time_iso_8601": "2023-08-09T16:09:31.690883Z",
"url": "https://files.pythonhosted.org/packages/6d/db/dec79c86f1855e26a8d64d4a3ac76762ad3b3d08dc80212aeac511f90792/pycroscopy-0.63.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-08-09 16:09:31",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "pycroscopy"
}
JSON