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NygenAnalytics

NygenAnalytics/scarf

PythonBSD-3-Clauseactive
88Health

Memory-efficient single-cell analysis in Python. Stream RNA, ATAC, CITE-seq and multi-omics from local or remote Zarr stores, from laptop to atlas scale, with reusable fingerprinted results.

Stars119
Forks16
Open Issues4
Contributors16
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
14
Popularity
24
#object-storage#provenance-tracking#scalable-computing#scrna-seq-analysis#single-cell#single-cell-multiomics#single-cell-omics
View on GitHub ↗Issues (4) ↗Pull Requests ↗Wiki ↗

Should you contribute to NygenAnalytics/scarf?

NygenAnalytics/scarf has a FoundDev health score of 88/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under BSD-3-Clause, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

NygenAnalytics88

Memory-efficient single-cell analysis in Python. Stream RNA, ATAC, CITE-seq and multi-omics from local or remote Zarr stores, from laptop to atlas scale, with reusable fingerprinted results.

active
11916 contributors4 issues
0d ago

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