# datapane/datapane

Build and share data reports in 100% Python

Repository: https://github.com/datapane/datapane
Canonical: https://ross.abutalabs.com/products/datapane
Homepage: https://datapane.com
Language: Python
License: Apache-2.0
License Family: permissive
Topics: dashboard, reporting, data-visualization, python
Last push: 2023-10-16T21:21:29+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2323, "days_push": 1052, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1398, forks 112 (observed 2026-08-28T04:04:36.848173+00:00)

## What it is
Datapane is a Python library and CLI for programmatically building interactive data reports from Pandas DataFrames, plots (Altair, Plotly, Bokeh, Folium), Markdown, and files, exportable as standalone HTML. The project is no longer actively maintained, with 0.17.0 as the final release focused on local report saving.

## Use cases
- build interactive data reports in python
- export pandas dataframe as html report
- share analysis results with stakeholders
- create dashboards from jupyter notebooks
- embed plots and tables in a standalone html file
- generate reports from python scripts

## When to choose
- you want to turn pandas dataframes and plots into shareable HTML reports with pure Python
- you need standalone report files that work without a server
- you work in Jupyter and want quick interactive report layouts

## When to avoid
- you need actively maintained software with bug fixes and support
- you need hosted report sharing or backend forms, since those features were removed
- you need a full production dashboarding platform

## Facets
- artifact type: library
- maturity: abandoned
- function: data-visualization, cli
- domain: data-visualization, data-science, analytics, developer-tools
- platform: python, cross-platform, cli
- tags: reports, dashboards, pandas, jupyter, html-reports, plotly, altair, no-longer-maintained, reporting

## Member repositories
- datapane/datapane (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:36.848173+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:39:12.934465+00:00, confidence not recorded.
  - readme: https://github.com/datapane/datapane (fetched 2026-08-28T04:04:36.848173+00:00, sha 49a0eebe5169)
  - homepage: https://datapane.com (fetched 2026-08-29T11:53:33.192654+00:00, sha 4e8141db0c44)
  - site_page: https://docs.datapane.com/installing-datapane (fetched 2026-08-29T11:53:33.201680+00:00, sha 66b88e1a1725)
  - site_page: https://docs.datapane.com/quickstart (fetched 2026-08-29T11:53:33.203536+00:00, sha 007dfe2b33d8)
  - registry_pypi: https://pypi.org/pypi/datapane/json (fetched 2026-08-29T11:53:33.205058+00:00, sha 9e93fc77b2e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.