# dataease/dataease

🔥 人人可用的开源 BI 工具，数据可视化神器。An open-source BI tool alternative to Tableau.

Repository: https://github.com/dataease/dataease
Canonical: https://ross.abutalabs.com/products/dataease
Homepage: https://dataease.cn/
Language: Java
License: GPL-3.0
License Family: copyleft
Topics: tableau, data-visualization, superset, apache-doris, data-analysis, business-intelligence, echarts, kettle
Last push: 2026-08-26T15:24:08+00:00

## Health v2 (maintenance only)
Score: 98/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 95, longevity 100
- inputs: {"age_days": 2038, "days_push": 7, "days_rel": 34, "gap_med": 21.5, "n_releases_24m": 31}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 24372, forks 4246 (observed 2026-08-28T04:11:37.053573+00:00)

## What it is
DataEase is an open-source business intelligence (BI) and data visualization tool positioned as an alternative to Tableau and Metabase. It lets users connect to a wide range of data sources (databases, data warehouses, data lakes, files, APIs) and build charts, dashboards, and data screens via drag-and-drop without writing code.

## Use cases
- build dashboards from my database without coding
- open-source Tableau alternative for BI
- create data visualization dashboards with drag and drop
- connect multiple data sources and query across them
- build big-screen data displays for business metrics
- embed self-service BI analytics into my product
- visualize sales and operations data for my team

## When to choose
- you want a free, self-hosted BI tool with drag-and-drop chart building
- you need broad data source support including OLTP, OLAP, warehouses, lakes, files, and APIs
- you want dashboards that work on PC, mobile, and large screens
- you prefer a tool with monthly releases and an active community

## When to avoid
- you need a permissively licensed tool (it is GPL-3.0)
- you require programmatic chart generation via code rather than a GUI
- you need deep customization beyond what its ECharts/AntV-based charting offers
- your team is already invested in another BI ecosystem like Tableau or Power BI

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, charts, analytics, database
- domain: data-visualization, analytics, self-hosted
- platform: self-hosted, cross-platform
- tags: bi, dashboard, tableau-alternative, echarts, drag-and-drop, data-sources, gpl-3.0, java, business-intelligence, web-server, docker, linux

## Member repositories
- dataease/dataease (main) score 98

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:37.053573+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 2026-08-29T16:56:14.853801+00:00, confidence not recorded.
  - readme: https://github.com/dataease/dataease (fetched 2026-08-28T04:11:37.053573+00:00, sha a5322c3aa209)
  - homepage: https://dataease.cn/ (fetched 2026-08-29T07:53:39.713400+00:00, sha 45812dd04412)
  - site_page: https://dataease.cn/docs/v2 (fetched 2026-08-29T07:53:39.722764+00:00, sha faf228078fc9)
- Data as of 2026-08-30T08:39:29.467469+00:00.