head to head · open source
dataease vs flint-chart
dataease has 24,674 GitHub stars, 4,257 forks, 49 open issues and last shipped yesterday. flint-chart has 4,537 stars, 268 forks, 32 open issues and last shipped 2 days ago. dataease leads on adoption by 444% (24,674 vs 4,537 stars). dataease is written in Java under a custom or non-standard licence; flint-chart is written in TypeScript under MIT. dataease has attracted 17% as many forks as stars, flint-chart 6%. dataease was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (data-visualization), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| dataease | flint-chart | |
|---|---|---|
| GitHub stars | ★ 25K | ★ 4.5K |
| License | Custom / other | MIT |
| Written in | Java | TypeScript |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 4.3K | ⑂ 268 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick dataease if
- You weight community size — 25K stars and counting
- You want the Custom / other license terms
- Your stack matches Java
- You value the larger contributor base for long-term maintenance
pick flint-chart if
- You want the flint-chart feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and flint-chart fits your workflow better
About dataease
人人可用的开源 BI 工具 什么是 DataEase？ DataEase 是开源的 BI 工具，帮助用户快速分析数据并洞察业务趋势，从而实现业务的改进与优化。DataEase 支持丰富的数据源连接，能够通过拖拉拽方式快速制作图表，并可以方便的与他人分享。 👉 观看视频：DataEase 两分钟介绍视频 👉 观看PPT：DataEase PPT 材料 👉 购买图书：《DataEase 数据可视化分析与实践》 DataEase 的优势： 开源开放：零门槛，线上快速获取和安装，按月迭代； 简单易用：极易上手，通过鼠标点击和拖拽即可完成分析； 全场景支持：多平台安装和多样化嵌入支持； 安全分享：支持多种数据分享方式，确保数据安全； AI 加持：无缝集成 SQLBot 实现智能问数。 DataEase 支持的数据源： OLTP 数据库： MySQL、Oracle、SQL Server、PostgreSQL、MariaDB、Db2、TiDB、MongoDB BI 等； OLAP 数据库： ClickHouse、Apache Doris、Apache Impala、StarRocks 等； 数据仓库/数据湖： Amazon RedShift 等； 数据文件： Excel、CSV 等； API 数据源。 快速开始 如果是用于生产环境，推荐使用 离线安装包方式 进行安装部署。
read the full dataease overview →
About flint-chart
Flint: A Visualization Language for the AI Era Please visit: Flint Project Site Visual Themes MCP Server Guide 中文主页 Flint is a visualization intermediate language that lets AI agents turn simple, human editable chart specs into expressive, polished visualizations . Rather than requiring agents to hardcode verbose parameters for scales, axes, spacing, labels, and layout, Flint derives those decisions from a high level semantic specification, the data, and an optional visual theme (e.g., New York Times, Economist, Swiss, and McKinsey). A compact spec compiles to native Vega Lite, ECharts, Chart.js, Plotly specs…
read the full flint-chart overview →
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Frequently asked questions
Is dataease or flint-chart more popular?
dataease has 24,674 GitHub stars and flint-chart has 4,537. dataease has the larger community by that measure.
Are dataease and flint-chart free?
Both are open source. dataease has no licence declared in this registry, and flint-chart is licensed under MIT. Both are free to self-host.
What is the difference between dataease and flint-chart?
dataease is written in Java and flint-chart in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, dataease or flint-chart?
Choose dataease if you want the larger community (24,674 stars) or its Custom / other licence terms. Choose flint-chart if its feature set, stack or MIT licence fits better. Both are self-hostable.