{"id":18654412,"url":"https://github.com/pycroscopy/pytemlib","last_synced_at":"2026-01-16T08:25:55.696Z","repository":{"id":39675631,"uuid":"184602868","full_name":"pycroscopy/pyTEMlib","owner":"pycroscopy","description":"TEM data quantification library through a model-based approach","archived":false,"fork":false,"pushed_at":"2025-05-02T21:48:59.000Z","size":334652,"stargazers_count":18,"open_issues_count":2,"forks_count":9,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-05-11T04:11:27.784Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://pycroscopy.github.io/pyTEMlib/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pycroscopy.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2019-05-02T15:10:08.000Z","updated_at":"2025-05-02T21:49:03.000Z","dependencies_parsed_at":"2023-02-18T20:15:20.264Z","dependency_job_id":"ffded9eb-afa9-4a68-b6a5-af66dd9b8439","html_url":"https://github.com/pycroscopy/pyTEMlib","commit_stats":{"total_commits":607,"total_committers":5,"mean_commits":121.4,"dds":0.09719934102141681,"last_synced_commit":"6d36f87c071dbfcb5e161990183c1f54b171d61f"},"previous_names":[],"tags_count":55,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pycroscopy%2FpyTEMlib","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pycroscopy%2FpyTEMlib/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pycroscopy%2FpyTEMlib/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pycroscopy%2FpyTEMlib/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pycroscopy","download_url":"https://codeload.github.com/pycroscopy/pyTEMlib/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":253514649,"owners_count":21920340,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-07T07:15:18.723Z","updated_at":"2025-12-24T23:18:35.912Z","avatar_url":"https://github.com/pycroscopy.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"pyTEMlib\n========\n\n.. image:: https://github.com/pycroscopy/pyTEMlib/workflows/build/badge.svg?branch=master\n    :target: https://github.com/pycroscopy/pyTEMlib/actions?query=workflow%3Abuild\n    :alt: GitHub Actions\n\n.. image:: https://img.shields.io/pypi/v/pyTEMlib.svg\n    :target: https://pypi.org/project/pyTEMlib/\n    :alt: PyPI\n    \n.. image:: https://img.shields.io/conda/vn/conda-forge/pyTEMlib.svg\n    :target: https://github.com/conda-forge/pyTEMlib-feedstock\n    :alt: conda-forge\n\n.. image:: https://codecov.io/gh/pycroscopy/pyTEMlib/branch/master/graph/badge.svg?token=\n    :target: https://codecov.io/gh/pycroscopy/pyTEMlib\n    :alt: CodeCov\n\n.. image:: https://img.shields.io/pypi/l/pyTEMlib.svg\n    :target: https://pypi.org/project/pyTEMlib/\n    :alt: License\n\n.. image:: http://pepy.tech/badge/pyTEMlib\n    :target: http://pepy.tech/project/pyTEMlib\n    :alt: Downloads\n\n.. image:: https://zenodo.org/badge/138171750.svg\n   :target: https://zenodo.org/badge/latestdoi/138171750\n   :alt: DOI\n\npyTEMlib is a package to read and process various kind of data acquired with a (scanning) transmission electron microscope (STEM).\n\nThe package is written in pure python and depends on various other libraries.\n\nAll data, user input, and results are stored as `NSID-formatted \u003chttps://pycroscopy.github.io/pyNSID/nsid.html\u003e`_ HDF5 files.\n\nThe data are all presented as `sidpy.Dataset \u003chttps://pycroscopy.github.io/sidpy/notebooks/00_basic_usage/create_dataset.html\u003e`_ objects\n\nInstall pyTEMlib via pip as:\n\n``python3 -m pip install pyTEMlib``\n\nor via conda:\n\n``conda install pyTEMlib -c conda-forge``\n\nThese installation options are also available in the `example notebooks \u003chttps://github.com/pycroscopy/pyTEMlib/notebooks\u003e`_\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpycroscopy%2Fpytemlib","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpycroscopy%2Fpytemlib","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpycroscopy%2Fpytemlib/lists"}