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hedron-data

PyPI Python CI License: MIT

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: 0.22.0 (Published) · pin >=0.22.0,<0.23

Install

pip install "hedron-data>=0.22.0,<0.23"
# or
uv add "hedron-data>=0.22.0,<0.23"
# via flagship:
pip install "hedron[data]>=0.22.0,<0.23"

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]>=0.22.0,<0.23"
pip install "hedron-data[sqlalchemy]>=0.22.0,<0.23"

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 refresh
  • DataEditor — editable grid workflows
  • Typed DataSource protocols and dataframe normalization helpers
  • Tabulator-backed Web Component assets (plugin-registered)

Links

License

MIT. See LICENSE.

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