ome-types
importeddata/ome-types
native Python dataclasses for the OME data model
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- imaging-formats
- Country
- unknown
- Repository
- github.com/imaging-formats/ome-types
- Documentation
- unknown
- Tags
- metadata · microscopy · ome
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- minerva-storymicroscopy · ome
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
- nis2pyrmicroscopy · ome
Python utility and library for converting Nikon .nd2 files to pyramidal OME TIFF.
- biofile-findermetadata · microscopy
An open-use web application created for easy access, collaboration, and sharing of datasets through rich metadata search, filter, sort, and direct viewing in common industry applications or in our…
- NBOMicroscopyMetadataSpecsmetadata · microscopy
The 4DN + BINA Tiered System of Microscopy Metadata Guidelines was developed by the 4DN Imaging Standards Working Group in collaboration with the BINA Data Management and Quality Control Working…
Dieses Repository enthält eine vorläufige Datensatzbeschreibung, welche über die Struktur der in Zukunft über das FDZ Gesundheit zugänglichen Daten informiert.
- nmdc-schemametadata
National Microbiome Data Collaborative (NMDC) unified data model
- api.github.com/repos/imaging-formats/ome-typesretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-04-02, 68 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/32.json→ .entries["ome-types"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.