ome-types
Python dataclasses for the OME data model
Decision gist · record as of 2026-08-14
Yes, if you work with OME-XML or OME-TIFF microscopy data in Python. The library is stable, has no known vulnerabilities, and low install friction. The aging maintenance status (261 days since last release) is a minor concern for long-term schema compatibility, but the package remains functional and the repository is not archived. Install with optional dependencies (lxml, pint) only if you need XML validation or unit quantity support.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later.
- Optional dependencies (lxml, pint, xmlschema) needed for XML validation or unit quantity properties.
- Low install friction with a pure-Python wheel.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions; attribution is required but no copyleft obligations apply.
last release 2025-11-26 (261 days) · last repo commit 2026-02-12 · 1 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 178,508 downloads/mo, #10,190 on PyPI
Alternatives
Verify before relying
pip install ome-types
from ome_types import from_xml
ome = from_xml('path/to/file.ome.xml')
print(ome.images[0].pixels.physical_size_x)- Whether the aging maintenance status (261 days since release) poses risk for long-term compatibility with evolving OME schema versions.
- Performance characteristics when parsing large or deeply nested OME-XML documents.
- Completeness of OME-2016-06 schema coverage and support for newer OME schema versions.
What it is and what it does
ome-types is a pure-Python library that converts OME-XML microscopy metadata into fully-typed Python dataclasses and back again. It parses OME-XML files or extracts metadata from OME-TIFF images into an object model where all OME concepts (Image, Plate, Pixels, Channel, etc.) are accessible as snake_case attributes on Python objects. You can then read, modify, or construct new metadata programmatically and serialize it back to valid OME-XML.
The library depends on pydantic, pydantic-core, pydantic-extra-types, and xsdata for schema validation and XML handling. It does not require a Java virtual machine, making it lightweight for Python-native workflows. Most of the model code is generated at install time from the OME schema, ensuring consistency with the OME-2016-06 specification.
Use it for
- Extract and inspect microscopy acquisition metadata from OME-TIFF files in Python without external tools.
- Programmatically modify OME metadata (e.g., update physical pixel sizes, add instrument details) and write back to OME-XML.
- Validate OME-XML documents against the OME schema and convert between XML and Python object representations.
- Build OME-compliant metadata from scratch by constructing Instrument, Microscope, Objective, and Image objects.
- Integrate OME metadata handling into scientific image processing pipelines written in Python.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you work with OME-XML or OME-TIFF microscopy data in Python.
The library is stable, has no known vulnerabilities, and low install friction. The aging maintenance status (261 days since last release) is a minor concern for long-term schema compatibility, but the package remains functional and the repository is not archived. Install with optional dependencies (lxml, pint) only if you need XML validation or unit quantity support.
Install
ome-types on PyPI
Before you install
Low install friction with a pure-Python wheel. Maintenance status is aging—last release was 261 days ago and the repository shows minimal activity (1 star), though it remains actively maintained with a recent commit on 2026-02-12.
Requires Python 3.9 or later. Optional dependencies (lxml, pint, xmlschema) needed for XML validation or unit quantity properties.
License in practice
MIT license is permissive, allowing commercial and private use with minimal restrictions; attribution is required but no copyleft obligations apply.
Quickstart
pip install ome-types
from ome_types import from_xml
ome = from_xml('path/to/file.ome.xml')
print(ome.images[0].pixels.physical_size_x)Verify before relying
- Whether the aging maintenance status (261 days since release) poses risk for long-term compatibility with evolving OME schema versions.
- Performance characteristics when parsing large or deeply nested OME-XML documents.
- Completeness of OME-2016-06 schema coverage and support for newer OME schema versions.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagespydantic-corepydantic-extra-typespydanticxsdata |
| Maintenance | Aging 261 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 178,508 / month, #10,190 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: ome_types-0.6.3-py3-none-any.whl
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See also ome-zarr · Sickle · tifffile · maec · xsdata · lxml · pydantic-xml · pykml · xml-python · types-lxml