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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
Popari: a probabilistic graphical model for integrated spatial transcriptomics analysis
Popari is a versatile framework for joint analysis and investigation of complex spatial transcriptomics datasets. Read the documentation (including installation instructions) here.
:warning: Popari is still under active development. Check back in a bit for a more complete user experience!
For development, create a fresh Python environment; this should not contain the PyPI-published version of the package.
pip install hatch
pip install keyrings.alt
hatch build
hatch publish -r https://upload.pypi.org/legacy/
Username: __token__
Password: {API token for PyPI}
pytest
testsTo run the provided tests and ensure that Popari can run on your platform, follow the instructions below:
pytest
in your environment.pip install pytest
python -m pytest -s
python -m pytest -s tests/test_popari_shared.py
python -m pytest -n 4 --dist=loadfile
Assuming you have CMake:
docs/
.cd docs/
pip install -r requirements.txt
make clean
make html
FAQs
Popari: a probabilistic graphical model for integrated spatial transcriptomics analysis
We found that popari 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.
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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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