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cirrocumulus

imported

software/cirrocumulus

Bring your single-cell data to life

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
lilab-bcb
Country
unknown
Documentation
unknown
Tags
10x · anndata · bioinformatics · data-visualization · scanpy · scrna-seq · seurat · single-cell
Regulatory
unknown
built by · 4

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.

  • SCPanndata · scanpy · scrna-seq · seurat

    An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.

  • anndataanndata · bioinformatics · scanpy

    Annotated data.

  • scanpyanndata · bioinformatics · scanpy

    Single-cell analysis in Python. Scales to >100M cells.

  • scCustomizescrna-seq · seurat · single-cell

    R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

  • SCpubrdata-visualization · seurat · single-cell

    Generate high quality, publication ready visualizations for single cell transcriptomics data.

  • alevin-fry10x · single-cell

    🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.

sources
  1. api.github.com/repos/lilab-bcb/cirrocumulus
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-07-13, 100 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/48.json→ .entries["cirrocumulus"]

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