Skip to main content

pyTEM: TEM Data Quantification library through a model-based approach

Project description

GitHub Actions PyPI conda-forge CodeCov License Downloads 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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pytemlib-0.2026.1.2.tar.gz (903.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pytemlib-0.2026.1.2-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file pytemlib-0.2026.1.2.tar.gz.

File metadata

  • Download URL: pytemlib-0.2026.1.2.tar.gz
  • Upload date:
  • Size: 903.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for pytemlib-0.2026.1.2.tar.gz
Algorithm Hash digest
SHA256 5a4bbff717c329e80869350f356b1b5bfa4f7951f7a6fb258a43674d65af6276
MD5 2cfa1ead4deb77fa4db69a2469cf833a
BLAKE2b-256 c029a6f396b3cddc132d3f5d2f9e6762214660f481a2d5d1ffd9d16f8ec529b4

See more details on using hashes here.

File details

Details for the file pytemlib-0.2026.1.2-py3-none-any.whl.

File metadata

  • Download URL: pytemlib-0.2026.1.2-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for pytemlib-0.2026.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d332f4302f9e30f724b9b5d5a92edac6113c265f0f4c09744ce5ba0df9587e8a
MD5 a1c69a3c48597a8eb3c7a5b3e200fe2f
BLAKE2b-256 b2f8f4069406f0a7f6af4347574d9c477ac48090b68c50a1bb50fbe704e98f2c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page