openmedical/registry
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bioio

imported

software/bioio

Image reading, metadata management, and image writing for Microscopy images in Python

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
bioio-devs
Country
unknown
Documentation
unknown
Tags
aicsimageio · dask · image-metadata · microscopy · python · scientific-computing · scientific-formats · xarray
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.

  • bioio-ome-zarrdask · image-metadata · microscopy · scientific-computing · scientific-formats · xarray

    A BioIO reader plugin for reading Zarr files in the OME format.

  • ngff-zarrdask · microscopy

    A lean and kind Open Microscopy Environment (OME) Next Generation File Format (NGFF) Zarr implementation.

  • rapidSTORMmicroscopy · scientific-computing

    rapidSTORM open-source localization microscopy software

  • imageioscientific-formats

    Python library for reading and writing image data

  • BMCscientific-computing

    Notes on Scientific Computing for Biomechanics and Motor Control

  • FlowCyPyscientific-computing

    Open source digital twin framework for flow cytometry, modeling fluidics, light scattering, electronics, triggering, and event generation for extracellular vesicle analysis.

sources
  1. api.github.com/repos/bioio-devs/bioio
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-04, 126 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/5.json→ .entries["bioio"]

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