# datageartech/datagear

DataGear数据可视化分析平台，自由制作任何您想要的数据看板

Repository: https://github.com/datageartech/datagear
Canonical: https://ross.abutalabs.com/products/datagear
Homepage: http://www.datagear.tech
Language: Java
License: LGPL-3.0
License Family: copyleft
Topics: data-visualization, data-analysis, chart, echarts, bi, business-intelligence, data-analytics
Last push: 2026-08-20T10:26:08+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 100
- inputs: {"age_days": 2384, "days_push": 13, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1717, forks 376 (observed 2026-08-28T04:05:26.425719+00:00)

## What it is
DataGear is an open-source, self-hosted data visualization and analysis platform for freely building interactive data dashboards. It connects to SQL, CSV, Excel, HTTP, and JSON data sources and offers dataset, chart, and dashboard management with 70+ built-in chart types.

## Use cases
- build interactive data dashboards from SQL databases
- create BI reports and visual analytics for business decision-making
- connect multiple data sources like MySQL, PostgreSQL, ClickHouse, Elasticsearch into one dashboard
- make responsive dashboards for mobile, tablet, desktop, and big-screen displays
- import CSV, Excel, HTTP API, or JSON data for charting
- share dashboards with password protection or iframe embedding
- build custom chart types with pluggable chart extensions
- run a private on-premise data visualization platform

## When to choose
- you need a self-hosted, lightweight BI/dashboard tool you fully control
- you want to combine SQL, file, and HTTP data sources in one dashboard
- you need highly customizable dashboards using raw HTML/JavaScript/CSS with Vue or React
- non-developers should build dashboards via a visual editor
- you must connect to many databases including Chinese domestic ones via JDBC drivers

## When to avoid
- you only need simple static charts in an existing app - a charting library like ECharts alone may suffice
- you require a fully managed cloud BI service rather than self-hosting
- you need heavy distributed big-data processing rather than dashboarding
- your stack cannot run Java 8+ web applications

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, charts, analytics, database, etl, self-hosted, security, plugin-system
- domain: data-visualization, analytics, databases, web-development, self-hosted
- platform: jvm, self-hosted, cross-platform
- tags: bi, dashboard, echarts, sql-workbench, data-import-export, spring-boot, business-intelligence, jdbc, data-dashboard, role-based-access-control, web-server

## Member repositories
- datageartech/datagear (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:26.425719+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 2026-08-30T03:34:12.959241+00:00, confidence not recorded.
  - readme: https://github.com/datageartech/datagear (fetched 2026-08-28T04:05:26.425719+00:00, sha 6054f225ee36)
  - homepage: http://www.datagear.tech (fetched 2026-08-29T11:10:19.298873+00:00, sha c3139b7a8ad8)
  - site_page: http://www.datagear.tech/quickstart (fetched 2026-08-29T11:10:19.308385+00:00, sha dfed1d11c7e2)
  - site_page: http://www.datagear.tech/docs (fetched 2026-08-29T11:10:19.310366+00:00, sha 9761cc1eff40)
  - site_page: http://www.datagear.tech/changelog (fetched 2026-08-29T11:10:19.312229+00:00, sha cca02a4aa226)
- Data as of 2026-08-30T08:39:29.467469+00:00.