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New Python Packaging Proposal Aims to Solve Phantom Dependency Problem with SBOMs
PEP 770 proposes adding SBOM support to Python packages to improve transparency and catch hidden non-Python dependencies that security tools often miss.
@jupyterlab/cells
Advanced tools
A JupyterLab package which provides an implementation of a Jupyter notebook cell. These cells are used in both the notebook and the code console. The result of cell execution is shown in an output area, which is implemented in @jupyterlab/outputarea. Markdown and raw cells can have attachments, which is implemented in @jupyterlab/attachments.
Here are some highlights of what is in this release. See the JupyterLab 1.1.0 milestone on GitHub for the full list of pull requests and issues closed.
jupyter lab build
now has a --minimize=False
option to build
without minimization to conserve memory and time
(#6907)noarch
package. If you are using JupyterLab with notebook
version 5.2 or earlier, you may need to manually enable the
JupyterLab server extension. See the issue for more details
(#7042)comm_info_request
content to conform to the Jupyter message
specification in a backwards-compatible way
(#6949,
#6947)FAQs
JupyterLab - Notebook Cells
The npm package @jupyterlab/cells receives a total of 15,660 weekly downloads. As such, @jupyterlab/cells popularity was classified as popular.
We found that @jupyterlab/cells demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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