# santosjorge/cufflinks

Productivity Tools for Plotly + Pandas

Repository: https://github.com/santosjorge/cufflinks
Canonical: https://ross.abutalabs.com/products/cufflinks
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2024-07-03T14:15:42+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": 4305, "days_push": 791, "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 3093, forks 667 (observed 2026-08-28T04:07:42.435149+00:00)

## What it is
Cufflinks is a Python library that binds Plotly's interactive charting with pandas DataFrames for easy plotting via an iplot helper. It supports chart kinds like scatter, candlestick, and QuantFigures with on-demand technical analysis studies.

## Use cases
- plot pandas dataframes as interactive plotly charts
- create candlestick charts with range sliders from ohlc data
- add technical analysis indicators like bollinger bands and macd to charts
- quickly visualize dataframe columns without writing plotly figure code
- generate interactive financial charts in jupyter notebooks

## When to choose
- you want plotly-quality interactive charts directly from pandas dataframes with minimal code
- you need financial charting with technical analysis studies in python
- you work in jupyter notebooks and want quick dataframe visualization

## When to avoid
- you need a general-purpose plotting library independent of pandas
- you require active development or support for the latest plotly versions beyond 4.x
- you need matplotlib-style static publication figures

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, charts
- domain: data-visualization, data-science
- platform: python
- tags: plotly, pandas, plotting, interactive-charts, technical-analysis

## Member repositories
- santosjorge/cufflinks (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:42.435149+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 2026-08-30T07:27:19.822780+00:00, confidence not recorded.
  - readme: https://github.com/santosjorge/cufflinks (fetched 2026-08-28T04:07:42.435149+00:00, sha 391478f522f9)
  - registry_pypi: https://pypi.org/pypi/cufflinks/json (fetched 2026-08-29T09:42:32.587395+00:00, sha 07713b082edc)
- Data as of 2026-08-30T08:39:29.467469+00:00.