# pixiedust/pixiedust

Python Helper library for Jupyter Notebooks

Repository: https://github.com/pixiedust/pixiedust
Canonical: https://ross.abutalabs.com/products/pixiedust
Homepage: https://pixiedust.github.io/pixiedust/
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: python-notebook, spark, scala-notebooks, visualization, jupyter-notebook, python, data-science, pixiedust
Last push: 2021-02-16T04:46:42+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3715, "days_push": 2024, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1040, forks 158 (observed 2026-08-28T04:03:20.081200+00:00)

## What it is
PixieDust is an open-source Python helper library that acts as an add-on to Jupyter notebooks, simplifying data visualization and Spark package management with a single display() API. It also supports Scala notebooks and lets developers build shareable visualization apps (PixieApps) using HTML and CSS.

## Use cases
- visualize spark dataframes in jupyter with one display call
- create charts in jupyter without writing matplotlib boilerplate
- install spark packages from inside a hosted notebook
- use python visualization libraries in scala notebooks
- build interactive data apps for business users inside notebooks
- share notebook charts with non-technical users

## When to choose
- you work with Spark data in Jupyter and want quick table/chart/map visualizations
- you need to install Spark packages in a hosted notebook without config file access
- you want to package data analysis into simple apps for non-technical users

## When to avoid
- you need actively maintained software with recent releases and support
- you don't use Jupyter notebooks or Apache Spark
- you prefer modern alternatives like ipywidgets, plotly, or bqplot

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization, charts, sdk, plugin-system
- domain: data-science, data-visualization, developer-tools, big-data
- platform: python, jvm, cross-platform
- tags: jupyter-notebook, apache-spark, scala-notebooks, display-api, pixieapps

## Member repositories
- pixiedust/pixiedust (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:20.081200+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 2026-08-30T07:03:31.729007+00:00, confidence not recorded.
  - readme: https://github.com/pixiedust/pixiedust (fetched 2026-08-28T04:03:20.081200+00:00, sha ca8cbb8c1e58)
  - homepage: https://pixiedust.github.io/pixiedust/ (fetched 2026-08-29T13:04:33.679981+00:00, sha b45bb00025e0)
  - registry_pypi: https://pypi.org/pypi/pixiedust/json (fetched 2026-08-29T13:04:33.689195+00:00, sha 811d07916f42)
- Data as of 2026-08-30T08:39:29.467469+00:00.