datainpane 0.18.0

Build interactive HTML reports from Python. Fork of the original Datapane project.

Data In Pane

Forked from Datapane -- the original open-source Python library for building reports, created by the Datapane team (2019-2023). When the original project was discontinued, we forked it, modernized all dependencies, and rebranded it as Data In Pane so the community can keep using and building on it.

What it does

Build interactive, self-contained HTML reports in Python. Wrap pandas DataFrames, plots (Bokeh, Altair, Plotly, Folium, Matplotlib), markdown, and files into shareable HTML reports -- no server required.

Quick install

pip install datainpane

Quick example

import datainpane as dip
import pandas as pd

df = pd.DataFrame({"x": [1, 2, 3, 4], "y": [10, 20, 30, 40]})

view = dip.Blocks(
    dip.Text("## My Report"),
    dip.DataTable(df),
    dip.BigNumber(heading="Total", value="100"),
)
dip.save_report(view, path="report.html")

Layout example

Combine Groups, Selects, formulas, and more for richer layouts.

view = dip.Blocks(
    dip.Formula("x^2 + y^2 = z^2"),
    dip.Group(
        dip.BigNumber(heading="Accuracy", value="84%", change="2%", is_upward_change=True),
        dip.BigNumber(heading="Count", value=100),
        columns=2,
    ),
    dip.Select(
        dip.Plot(fig, label="Chart"),
        dip.DataTable(df, label="Data"),
    ),
)
dip.save_report(view, path="layout.html")

What's new in the fork

• Python 3.12+ required
• pandas 2.x/3.x support (uncapped)
• Bokeh 3.x support
• Migrated from Poetry to uv
• Node 20+ for web components
• Dead cloud code removed
• CDN switched to jsDelivr (served from GitHub)
• Rebranded: import datainpane as dip

Requirements

Python >= 3.12

License

Apache 2.0 (same as the original Datapane project).