# ecomfe/awesome-echarts

Awesome list of  Apache ECharts

Repository: https://github.com/ecomfe/awesome-echarts
Canonical: https://ross.abutalabs.com/products/awesome-echarts
License Family: other
Last push: 2025-01-16T04:29:51+00:00

## Health v2 (maintenance only)
Score: 33/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 1, release rhythm 35, longevity 100
- inputs: {"age_days": 3555, "days_push": 594, "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 1571, forks 175 (observed 2026-08-28T04:05:05.481795+00:00)

## What it is
A community-curated awesome list of resources for Apache ECharts, the JavaScript charting and visualization library. It catalogs official docs, tutorials, extensions, framework bindings (React, Vue, Angular, Flutter, etc.), and language wrappers.

## Use cases
- find echarts tutorials and documentation
- find a react component for echarts
- find echarts bindings for python or java
- discover echarts extensions for maps and gis
- learn how to use apache echarts for dashboards
- find echarts tools and editor plugins

## When to choose
- you are starting with Apache ECharts and want curated learning resources
- you need to find a wrapper or binding for your framework or language
- you want to discover community extensions and tools around ECharts

## When to avoid
- you need the charting library itself rather than a resource list
- you need actively maintained code rather than links

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-visualization, charts, documentation
- domain: data-visualization, awesome-lists, frontend, web-development
- platform: cross-platform, python, jvm, dotnet, browser
- tags: awesome-list, echarts, curated-resources, javascript-charting, bindings, extensions, web-server, nodejs, ios

## Member repositories
- ecomfe/awesome-echarts (main) score 33

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:05.481795+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 2026-08-30T03:58:26.046510+00:00, confidence not recorded.
  - readme: https://github.com/ecomfe/awesome-echarts (fetched 2026-08-28T04:05:05.481795+00:00, sha ef237b707bc8)
- Data as of 2026-08-30T08:39:29.467469+00:00.