head to head · open source
Apache Superset vs dataease
Apache Superset has 75,392 GitHub stars, 18,572 forks, 588 open issues and last shipped yesterday. dataease has 24,666 stars, 4,256 forks, 49 open issues and last shipped yesterday. Apache Superset leads on adoption by 206% (75,392 vs 24,666 stars). Apache Superset is written in Python under Apache-2.0; dataease is written in Java under a custom or non-standard licence. Apache Superset has attracted 25% as many forks as stars, dataease 17%. Apache Superset was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (business-intelligence, data-analysis, 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.
← all 20902 open source comparisons
Side by side
| Apache Superset | dataease | |
|---|---|---|
| GitHub stars | ★ 75K | ★ 25K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | Java |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 19K | ⑂ 4.3K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Apache Superset if
- You weight community size — 75K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick dataease if
- You want the dataease feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Java
- You evaluated both and dataease fits your workflow better
About Apache Superset
Superset A modern, enterprise ready business intelligence web application. Documentation User Guide — For analysts and business users. Explore data, build charts, create dashboards, and connect databases. Administrator Guide — Install, configure, and operate Superset. Covers security, scaling, and database drivers. Developer Guide — Contribute to Superset or build on its REST API and extension framework. Why Superset? Supported Databases Release Notes Get Involved Resources Organizations Using Superset Why Superset? Superset is a modern data exploration and data visualization platform. Superset can replace or…
read the full Apache Superset overview →
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 →
More in Data & Analytics
Related comparisons
More Business Intelligence & Reporting projects
Compare either of these against the rest of the Business Intelligence & Reporting field.
Frequently asked questions
Is Apache Superset or dataease more popular?
Apache Superset has 75,392 GitHub stars and dataease has 24,666. Apache Superset has the larger community by that measure.
Are Apache Superset and dataease free?
Both are open source. Apache Superset is licensed under Apache-2.0, and dataease has no licence declared in this registry. Both are free to self-host.
What is the difference between Apache Superset and dataease?
Apache Superset is written in Python and dataease in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Apache Superset or dataease?
Choose Apache Superset if you want the larger community (75,392 stars) or its Apache-2.0 licence terms. Choose dataease if its feature set, stack or Custom / other licence fits better. Both are self-hostable.