hedron-data
DataTable, DataEditor, and data-source toolkit for Hedron.
Typed data-source protocols, optional dataframe normalization, and a
Tabulator-backed grid Web Component — registered through the public Hedron
plugin contract. Install as hedron-data or via the flagship extra hedron[data].
Package maturity: Beta · Train: 0.38.x (last published 0.38.0) · pin >=0.38.0,<0.39
Install
pip install "hedron-data>=0.38.0,<0.39"
# or
uv add "hedron-data>=0.38.0,<0.39"
# via flagship:
pip install "hedron[data]>=0.38.0,<0.39"
Requires Python 3.11–3.14 and hedron-core.
Optional extras
| Extra | Purpose |
|---|---|
dataframes |
pandas + polars + pyarrow (+ narwhals) |
pandas / polars / pyarrow |
Individual dataframe stacks |
sqlalchemy / sqlmodel |
ORM-backed sources |
dask |
Dask dataframe support |
snowflake |
Snowflake connector |
aggrid / spreadsheet |
Reserved feature gates (no heavy deps) |
pip install "hedron-data[dataframes]>=0.38.0,<0.39"
pip install "hedron-data[sqlalchemy]>=0.38.0,<0.39"
Quick start
from hedron_data import DataTable
rows = [
{"name": "Ada", "team": "Platform"},
{"name": "Grace", "team": "Compiler"},
]
table = DataTable(rows, caption="Employees", page_size=25)
Use inside a Hedron Page (FastAPI / Flask / Django). Prefer a typed
row_model when you want validated columns:
from pydantic import BaseModel
from hedron_data import DataTable
class EmployeeRow(BaseModel):
name: str
team: str
table = DataTable(rows, row_model=EmployeeRow, caption="Employees")
What this package includes
DataTable— paginated, sortable grid with HTMX-friendly refreshDataEditor— editable grid workflows- Typed
DataSourceprotocols and dataframe normalization helpers - Tabulator-backed Web Component assets (plugin-registered)
Links
License
MIT. See the repository license.
1 maintainer
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