mikedewar/d3py
a plottling library for python, based on D3 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 5534
- days_rel: n/a
- days_push: 2074
- n_releases_24m: 0
Adoption not part of the score
1414 stars · 200 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity abandoned
data-visualization charts data-visualization data-science web-development python browser d3 ggplot2-grammar pandas svg interactive-plots javascript-visualization
1 source
- readme: https://github.com/mikedewar/d3py · fetched 2026-08-28 · ec875a099cb5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mikedewar/d3py | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem