neurocog-rime-core

neurocog-rime-core is the headless domain layer for RIME. It provides native clinical objects, protocol schemas, annotation storage, rule evaluation, signal loading, ELAN import, export utilities, IRR/coverage/evaluation metrics, and CMF-based model inference helpers.

Install

pip install neurocog-rime-core

For local development:

pip install -e packages/rime-core

Optional extras:

pip install -e "packages/rime-core[onnx,video]"

Quick Start

from pathlib import Path
from rime_core import WorkingContext, ResearchContext

context = WorkingContext.create_workspace(
    Path("example-workspace"), "Example",
    research=ResearchContext(participant_id="SYNTHETIC"),
)
annotation, _ = context.create_annotation("FOG", "FOG", 1000, 2000)
reopened = WorkingContext.open(context.workspace.path)
print(reopened.annotation_set.id, reopened.store.get(annotation.id))

Main Modules

• rime_core.annotation: annotations, review, and rule helpers
• rime_core.analysis: coverage, IRR, and model-evaluation utilities
• rime_core.io: import/export and signal-loading helpers
• rime_core.modeling: CMF package loading and inference
• rime_core.records: scientific objects with their own identities
• rime_core.workspace: local persistence and operations coordinating scientific objects