head to head · open source
dataease vs dash
dataease has 24,666 GitHub stars, 4,256 forks, 49 open issues and last shipped yesterday. dash has 24,476 stars, 2,335 forks, 480 open issues and last shipped yesterday. dataease leads on adoption by 1% (24,666 vs 24,476 stars). dataease is written in Java under a custom or non-standard licence; dash is written in Python under MIT. dataease has attracted 17% as many forks as stars, dash 10%. dash 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 | dash | |
|---|---|---|
| GitHub stars | ★ 25K | ★ 24K |
| License | Custom / other | MIT |
| Written in | Java | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 4.3K | ⑂ 2.3K |
| 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 dash if
- You want the dash feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and dash 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 dash
Dash Dash is the most downloaded, trusted Python framework for building ML & data science web apps . Built on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code. Read our tutorial (proudly crafted ❤️ with Dash itself). Docs: Create your first Dash app in under 5 minutes dash.gallery: Dash app gallery with Python & R code Dash App Examples To learn more about Dash, read the extensive announcement letter or jump in with the user guide. Dash OSS & Dash Enterprise With Dash Open Source, Dash apps run on your local laptop or…
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Frequently asked questions
Is dataease or dash more popular?
dataease has 24,666 GitHub stars and dash has 24,476. dataease has the larger community by that measure.
Are dataease and dash free?
Both are open source. dataease has no licence declared in this registry, and dash is licensed under MIT. Both are free to self-host.
What is the difference between dataease and dash?
dataease is written in Java and dash in Python. 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 dash?
Choose dataease if you want the larger community (24,666 stars) or its Custom / other licence terms. Choose dash if its feature set, stack or MIT licence fits better. Both are self-hostable.