head to head · open source
dataease vs kepler.gl
dataease has 24,674 GitHub stars, 4,257 forks, 49 open issues and last shipped yesterday. kepler.gl has 12,078 stars, 1,963 forks, 452 open issues and last shipped yesterday. dataease leads on adoption by 104% (24,674 vs 12,078 stars). dataease is written in Java under a custom or non-standard licence; kepler.gl is written in TypeScript under MIT. dataease has attracted 17% as many forks as stars, kepler.gl 16%. 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 | kepler.gl | |
|---|---|---|
| GitHub stars | ★ 25K | ★ 12K |
| License | Custom / other | MIT |
| Written in | Java | TypeScript |
| Last push | 2026-11-04 | 2026-11-04 |
| Forks | ⑂ 4.3K | ⑂ 2.0K |
| 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 kepler.gl if
- You want the kepler.gl feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and kepler.gl 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 kepler.gl
kepler.gl Website Demo App Docs [Kepler.gl][web] is a data agnostic, high performance web based application for visual exploration of large scale geolocation data sets. Built on top of MapLibre GL and deck.gl, kepler.gl can render millions of points representing thousands of trips and perform spatial aggregations on the fly. Kepler.gl is also a React component that uses Redux to manage its state and data flow. It can be embedded into other React Redux applications and is highly customizable. For information on how to embed kepler.gl in your app take a look at the documentation. Links [Website][web] [Demo][demo…
read the full kepler.gl overview →
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Frequently asked questions
Is dataease or kepler.gl more popular?
dataease has 24,674 GitHub stars and kepler.gl has 12,078. dataease has the larger community by that measure.
Are dataease and kepler.gl free?
Both are open source. dataease has no licence declared in this registry, and kepler.gl is licensed under MIT. Both are free to self-host.
What is the difference between dataease and kepler.gl?
dataease is written in Java and kepler.gl 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 kepler.gl?
Choose dataease if you want the larger community (24,674 stars) or its Custom / other licence terms. Choose kepler.gl if its feature set, stack or MIT licence fits better. Both are self-hostable.