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 observed · 2026-08-28
Health v2 · maintenance only
76/100
- Activity 98
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2384
- days_rel: n/a
- days_push: 13
- n_releases_24m: 0
Adoption not part of the score
1717 stars · 376 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
application · maturity active
data-visualization charts analytics database etl self-hosted security plugin-system data-visualization analytics databases web-development self-hosted jvm self-hosted cross-platform bi dashboard echarts sql-workbench data-import-export spring-boot business-intelligence jdbc data-dashboard role-based-access-control web-server
5 sources
- readme: https://github.com/datageartech/datagear · fetched 2026-08-28 · 6054f225ee36
- homepage: http://www.datagear.tech · fetched 2026-08-29 · c3139b7a8ad8
- site_page: http://www.datagear.tech/quickstart · fetched 2026-08-29 · dfed1d11c7e2
- site_page: http://www.datagear.tech/docs · fetched 2026-08-29 · 9761cc1eff40
- site_page: http://www.datagear.tech/changelog · fetched 2026-08-29 · cca02a4aa226
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| datageartech/datagear | main | 76 |
For agents
markdown · JSON · MCP: product_card(name="datageartech/datagear")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem