https://github.com/pycroscopy/pytemlib
TEM data quantification library through a model-based approach
https://github.com/pycroscopy/pytemlib
Last synced: 5 months ago
JSON representation
TEM data quantification library through a model-based approach
- Host: GitHub
- URL: https://github.com/pycroscopy/pytemlib
- Owner: pycroscopy
- License: mit
- Created: 2019-05-02T15:10:08.000Z (about 7 years ago)
- Default Branch: main
- Last Pushed: 2025-05-02T21:48:59.000Z (about 1 year ago)
- Last Synced: 2025-05-11T04:11:27.784Z (about 1 year ago)
- Language: Jupyter Notebook
- Homepage: https://pycroscopy.github.io/pyTEMlib/
- Size: 319 MB
- Stars: 18
- Watchers: 5
- Forks: 9
- Open Issues: 2
-
Metadata Files:
- Readme: README.rst
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
pyTEMlib
========
.. image:: https://github.com/pycroscopy/pyTEMlib/workflows/build/badge.svg?branch=master
:target: https://github.com/pycroscopy/pyTEMlib/actions?query=workflow%3Abuild
:alt: GitHub Actions
.. image:: https://img.shields.io/pypi/v/pyTEMlib.svg
:target: https://pypi.org/project/pyTEMlib/
:alt: PyPI
.. image:: https://img.shields.io/conda/vn/conda-forge/pyTEMlib.svg
:target: https://github.com/conda-forge/pyTEMlib-feedstock
:alt: conda-forge
.. image:: https://codecov.io/gh/pycroscopy/pyTEMlib/branch/master/graph/badge.svg?token=
:target: https://codecov.io/gh/pycroscopy/pyTEMlib
:alt: CodeCov
.. image:: https://img.shields.io/pypi/l/pyTEMlib.svg
:target: https://pypi.org/project/pyTEMlib/
:alt: License
.. image:: http://pepy.tech/badge/pyTEMlib
:target: http://pepy.tech/project/pyTEMlib
:alt: Downloads
.. image:: https://zenodo.org/badge/138171750.svg
:target: https://zenodo.org/badge/latestdoi/138171750
:alt: DOI
pyTEMlib is a package to read and process various kind of data acquired with a (scanning) transmission electron microscope (STEM).
The package is written in pure python and depends on various other libraries.
All data, user input, and results are stored as `NSID-formatted `_ HDF5 files.
The data are all presented as `sidpy.Dataset `_ objects
Install pyTEMlib via pip as:
``python3 -m pip install pyTEMlib``
or via conda:
``conda install pyTEMlib -c conda-forge``
These installation options are also available in the `example notebooks `_