Ross ROSS = Recommend OSS · open-source software intelligence for agents

Plotly.js

Open-source JavaScript charting library behind Plotly and Dash observed · 2026-08-28

github.com/plotly/plotly.js · homepage · JavaScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

99/100

  • Activity 99
  • Release rhythm 99
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 29.0
  • age_days: 3954
  • days_rel: 9
  • days_push: 9
  • n_releases_24m: 19

Full methodology

Adoption not part of the score

18302 stars · 2023 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Plotly is a family of open-source, MIT-licensed interactive graphing libraries, with plotly.js as the core JavaScript charting engine and high-level wrappers for Python, R, Julia, and other languages. Charts are described declaratively and rendered in the browser with over 30-40 chart types including scientific, statistical, 3D, financial, and map charts, viewable in Jupyter notebooks, standalone HTML, or Dash applications.

Use cases

  • create interactive charts from a pandas dataframe in a jupyter notebook
  • build a dashboard with interactive plots in python
  • embed interactive 3d scatter plots in a web page
  • plot statistical and financial charts in the browser with javascript
  • export charts as standalone html files to share
  • make an interactive choropleth map of my data
  • add charts to a react app
  • visualize scientific data with contour and heatmap plots

When to choose

  • you need interactive, browser-based charts with zoom, hover, and pan built in
  • you work in Python, R, or Julia notebooks and want publication-quality interactive figures
  • you need a wide variety of chart types including 3D, statistical, financial, and maps from one library
  • you are building Dash analytics applications
  • you want a declarative JSON chart specification that is easy to generate programmatically

When to avoid

  • you need lightweight static plots with minimal bundle size for a simple website
  • you require server-side rendering of charts to images without a browser
  • you need highly custom or novel visualization types beyond the supported chart catalog
  • you are building a native mobile or desktop app without a web view

Facets

library · maturity stable

data-visualization charts data-visualization data-science web-development analytics python browser cross-platform plotly interactive-charts webgl d3 jupyter dash declarative-charting 3d-charts scientific-plotting javascript web-server

10 sources

Member repositories

RepositoryRoleHealth v2
plotly/plotly.jsmain99
plotly/plotly.pysdk95
plotly/plotly.Rsdk84
plotly/react-plotly.jssdk96

For agents

markdown · JSON · MCP: product_card(name="plotly/plotly.js")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem