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Socket Now Supports pylock.toml Files
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Upload DICOM files with patient und study data removed from header
To install use pip:
$ pip install dicom_upload
$ jupyter nbextension enable --py --sys-prefix dicom_upload
Alternatively, install directly from GitLab:
$ pip install git+https://gitlab.version.fz-juelich.de/jupyter4jsc/j4j_extras/dicom-upload.git
To install for jupyterlab
$ jupyter labextension install dicom_upload
For a development installation (requires npm),
$ git clone https://gitlab.version.fz-juelich.de/jupyter4jsc/j4j_extras/dicom-upload.git
$ cd dicom-upload
$ pip install -e .
$ jupyter nbextension install --py --symlink --sys-prefix dicom_upload
$ jupyter nbextension enable --py --sys-prefix dicom_upload
$ jupyter labextension install js
When actively developing your extension, build Jupyter Lab with the command:
$ jupyter lab --watch
This take a minute or so to get started, but then allows you to hot-reload your javascript extension. To see a change, save your javascript, watch the terminal for an update.
Note on first jupyter lab --watch
, you may need to touch a file to get Jupyter Lab to open.
FAQs
Upload DICOM files with patient und study data removed from header
We found that dicom-upload demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
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