openmedical/registry
← registry

scarf

imported

software/scarf

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.

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
NygenAnalytics
Country
unknown
Documentation
unknown
Tags
object-storage · provenance-tracking · scalable-computing · scrna-seq-analysis · single-cell · single-cell-multiomics · single-cell-omics
Regulatory
unknown
built by · 6

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • COSGsingle-cell · single-cell-multiomics

    Accurate and fast cell marker gene identification with COSG

  • GLUEsingle-cell · single-cell-multiomics

    Graph-linked unified embedding for single-cell multi-omics data integration

  • pixelatorsingle-cell · single-cell-omics

    A command-line tool and library to process and analyze sequencing data from Molecular Pixelation (MPX) and Proximity Network (PNA) assays.

  • randomlysingle-cell · single-cell-omics

    A Library for Denoising Single-Cell Data with Random Matrix Theory

  • scClustVizscrna-seq-analysis · single-cell

    Explore and share your scRNAseq clustering results

  • scGNNscrna-seq-analysis · single-cell

    scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

sources
  1. api.github.com/repos/NygenAnalytics/scarf
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 119 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/62.json→ .entries["scarf"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.