NGIO is a Python library to streamline OME-Zarr image analysis workflows.
Main Goals:
To get started, check out the Getting Started guide. Or checkout our Documentation
Feature | Status | ETA | Description |
---|---|---|---|
Metadata Handling | β | Read, Write, Validate OME-Zarr Metadata (0.4 supported, 0.5 ready) | |
OME-Zarr Validation | β | Validate OME-Zarr files for compliance with the OME-Zarr Specification + Compliance between Metadata and Data | |
Base Image Handling | β | Load data from OME-Zarr files, retrieve basic metadata, and write data | |
ROI Handling | β | Common ROI models | |
Label Handling | β | Mid-September | Based on Image Handling |
Table Validation | β | Mid-September | Validate Table fractal V1 + Compliance between Metadata and Data |
Table Handling | β | Mid-September | Read, Write ROI, Features, and Masked Tables |
Basic Iterators | Ongoing | End-September | Read and Write Iterators for common access patterns |
Base Documentation | β | End-September | API Documentation and Examples |
Beta Ready Testing | β | End-September | Beta Testing; Library is ready for testing, but the API is not stable |
Mask Iterators | Ongoing | October | Iterators over Masked Tables |
Advanced Iterators | Not started | October | Iterators for advanced access patterns |
Parallel Iterators | Not started | End of the Year | Concurrent Iterators for parallel read and write |
Full Documentation | Not started | End of the Year | Complete Documentation |
Release 1.0 (Commitment to API) | Not started | End of the Year | API is stable; breaking changes will be avoided |