# vega/voyager

Visualization Tool for Data Exploration

Repository: https://github.com/vega/voyager
Canonical: https://ross.abutalabs.com/products/vega-voyager
Homepage: http://vega.github.io/voyager
Language: TypeScript
License: NOASSERTION
License Family: other
Last push: 2023-03-02T23:08:49+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4245, "days_push": 1280, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1495, forks 181 (observed 2026-08-28T04:04:53.184346+00:00)

## What it is
Voyager 2 is a web-based data exploration tool that blends manual chart specification (inspired by Tableau/PoleStar) with automated visualization recommendations via wildcards and related views. It is built on Vega-Lite and can be embedded in JupyterLab or Julia workflows.

## Use cases
- explore a csv dataset visually without writing code
- get suggested charts relevant to the visualization I'm building
- specify multiple charts at once with wildcards
- embed a drag-and-drop chart builder in JupyterLab
- interactive exploratory data analysis in the browser

## When to choose
- you want guided, automated chart recommendations during data exploration
- you prefer a Tableau-like point-and-click interface over writing Vega-Lite specs
- you work in JupyterLab or Julia and want integrated visual exploration

## When to avoid
- you need a general-purpose charting library to embed charts in your own app (use Vega-Lite directly)
- you need actively maintained software with recent releases
- you need production dashboards rather than exploratory analysis

## Facets
- artifact type: application
- maturity: maintenance
- function: data-visualization, ui-components
- domain: data-visualization, data-science, analytics
- platform: browser
- tags: vega-lite, chart-specification, exploratory-data-analysis, jupyterlab, react-redux, web-server, nodejs

## Member repositories
- vega/voyager (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:53.184346+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 2026-08-30T04:33:19.313846+00:00, confidence not recorded.
  - readme: https://github.com/vega/voyager (fetched 2026-08-28T04:04:53.184346+00:00, sha c4e225301eca)
  - homepage: http://vega.github.io/voyager (fetched 2026-08-29T11:39:00.995733+00:00, sha b32c8352ce68)
- Data as of 2026-08-30T08:39:29.467469+00:00.