# hal9ai/awesome-dataviz

:chart_with_upwards_trend:  A curated list of awesome data visualization libraries and resources.

Repository: https://github.com/hal9ai/awesome-dataviz
Canonical: https://ross.abutalabs.com/products/awesome-dataviz
License: NOASSERTION
License Family: other
Topics: data-visualization, visualization, chart, dataviz, visualize-data, awesome-list
Last push: 2024-01-26T12:36:48+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4061, "days_push": 950, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4388, forks 468 (observed 2026-08-28T04:08:47.192461+00:00)

## What it is
A curated list of open-source data visualization libraries, frameworks, and resources across many languages and platforms. It organizes charting tools, mapping libraries, and learning resources like books and podcasts.

## Use cases
- find a javascript charting library
- compare data visualization tools across languages
- discover open-source dataviz resources
- find chart libraries for python or r
- learn about data visualization books and podcasts
- find mapping and graph visualization libraries

## When to choose
- you want to survey the data visualization ecosystem before picking a tool
- you need charting library options for a specific language or platform
- you want curated learning resources on dataviz

## When to avoid
- you need a working visualization library itself rather than a list of links
- you need up-to-date recommendations, as entries may lag behind current tooling

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-visualization, charts, documentation
- domain: data-visualization, awesome-lists, developer-tools
- platform: cross-platform
- tags: awesome-list, curated-list, dataviz, charting-libraries, resources

## Member repositories
- hal9ai/awesome-dataviz (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:47.192461+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 2026-08-29T18:21:13.673194+00:00, confidence not recorded.
  - readme: https://github.com/hal9ai/awesome-dataviz (fetched 2026-08-28T04:08:47.192461+00:00, sha 88e90a7b7260)
- Data as of 2026-08-30T08:39:29.467469+00:00.