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pycytominer

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software/pycytominer

Python package for image-based profiling

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

pycytominer project image
GitHub preview card for cytomining/pycytominer. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
active
Maturity
deployed
Organization
cytomining
Country
unknown
Documentation
unknown
Tags
cellprofiler · cytominer · image-analysis · image-based-profiling · microscopy · morphological-profiling · python
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.

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    Companion notebooks for our paper on reproducible statistics in bioimage analysis — runs in-browser via Binder

  • CytoDataFrameimage-analysis · image-based-profiling

    An in-memory data analysis format for single-cell profiles alongside their corresponding images and segmentation masks.

  • openhcscellprofiler · microscopy

    Typed, reproducible high-content microscopy workflows across GUI, Python, CellProfiler, Napari/Fiji, GPU, and local MCP agents.

  • scmorphmorphological-profiling

    Single-cell morphological analysis

  • amfinderimage-analysis · microscopy

    The Automatic Mycorrhiza Finder (AMFinder) allows for automatic computer vision-based identification and quantification of AM fungal colonisation and intraradical hyphal structures on ink-stained…

sources
  1. api.github.com/repos/cytomining/pycytominer
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-05, 144 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/6.json→ .entries["pycytominer"]

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