# mikedewar/d3py

a plottling library for python, based on D3

Repository: https://github.com/mikedewar/d3py
Canonical: https://ross.abutalabs.com/products/d3py
Language: Python
License Family: other
Last push: 2020-12-28T08:18:14+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5534, "days_push": 2074, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1414, forks 200 (observed 2026-08-28T04:04:39.629994+00:00)

## What it is
d3py is a Python plotting library that renders interactive D3.js-based charts from pandas DataFrames into a browser window. It was an experimental 2013 project whose author recommends alternatives like Vincent instead.

## Use cases
- plot pandas dataframes as interactive d3 charts from python
- create browser-based svg plots from python scripts
- style d3 charts with css from python
- visualize networkx graphs in the browser

## When to choose
- you want to study an early ggplot-style python-to-d3 plotting experiment
- you need a minimal, hackable codebase to fork for d3-from-python ideas

## When to avoid
- you need a maintained plotting library - the project is abandoned since 2013
- you want production-quality interactive charts - use vega-altair, plotly, or bokeh instead

## Facets
- artifact type: library
- maturity: abandoned
- function: data-visualization, charts
- domain: data-visualization, data-science, web-development
- platform: python, browser
- tags: d3, ggplot2-grammar, pandas, svg, interactive-plots, javascript-visualization

## Member repositories
- mikedewar/d3py (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:39.629994+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 2026-08-30T04:38:13.615613+00:00, confidence not recorded.
  - readme: https://github.com/mikedewar/d3py (fetched 2026-08-28T04:04:39.629994+00:00, sha ec875a099cb5)
- Data as of 2026-08-30T08:39:29.467469+00:00.