dependency diet and upgrades
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
Research direction
Review the dependency declarations and the segmentation-comparison, plotting, and de novo-clustering entry points mentioned in the issue, including how Jupyter is installed. Confirm which dependencies can be removed or made optional while preserving the Sankey, regplot, boxplot, and clustering workflows.
Written by the indexing model from the issue text.
Description
we have a few heavy dependencies that have minimal usage:
plotlyused for the sankey diagram in segmentation comparisonseabornused for regplot and boxplot, both of which can be (neatly?) implemented with matplotlib. unfortunately it's also a dependency in ...scanpywhich we use for de novo clustering. we could makescanpyoptional and delayed import only for de novo clustering. this would also clear outstatsmodelsjupyterthis is sort of a matter of taste, but it's nicer to have it as an extra duringpip install.
- Dominant language
- Jupyter Notebook
- Stars
- 7
- Forks
- 8
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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