Install & Compatibility
Where this runs
No compatibility data collected yet for this library.
Code
Verified usage
Verified import paths — ran on the pinned version, not inferred.
Event
✓ from event_model import Event
✗ from event_model.schemas import Event
Event is exported from the top-level package, not from submodules
RunStart
✓ from event_model import RunStart
✗ from bluesky_models import RunStart
The correct package is event-model, not bluesky_models
EventDescriptor
✓ from event_model import EventDescriptor
✗ from bluesky import event_model
bluesky package does not re-export event-model types directly
Create and print basic event-model documents
from event_model import Event, RunStart
start = RunStart(
uid='abc123',
time=1640000000.0,
plan_name='scan',
scan_id=42
)
event = Event(
uid='def456',
time=1640000001.0,
descriptor_uid='ghi789',
seq_num=1,
data={'det': 3.14159},
timestamps={'det': 1640000001.0},
filled={}
)
print(start, event)
Errors
Common errors & fixes
ImportError: cannot import name 'Event' from 'event_model.schemas'
Event is exported from the top-level event_model package, not from event_model.schemas.
fixUse: from event_model import Event
AttributeError: 'Event' object has no attribute 'dict'
In v1.23, Event is a TypedDict, not a pydantic BaseModel. pydantic's .dict() is not available.
fixUse: dict(event) or copy with dict(event)
ValidationError: 1 validation error for DataKey
precision
none is not an allowed value (type=type_error.none.not_allowed)
In v1.22.0+, DataKey fields like 'precision' cannot be None; omit the key if not needed.
fixRemove the field or use a valid value.
Upgrade
Version history
1.23.1latest on PyPI · released Aug 28, 2025
Audit
Dependencies
jsonschemarequiredSchema validation; replaced pydantic in v1.23
numpyoptionalUsed for type definitions
pydanticoptionalPin <2.11 for Python 3.8 support