head to head · open source
Apache Superset vs L7
Apache Superset has 74,821 GitHub stars, 18,339 forks, 588 open issues and last shipped today. L7 has 4,063 stars, 656 forks, 216 open issues and last shipped 10 days ago. Apache Superset leads on adoption by 1,742% (74,821 vs 4,063 stars). Apache Superset is written in Python under Apache-2.0; L7 is written in TypeScript under MIT. Apache Superset has attracted 25% as many forks as stars, L7 16%. Apache Superset 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
| Apache Superset | L7 | |
|---|---|---|
| GitHub stars | ★ 75K | ★ 4.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-09-18 | 2026-09-08 |
| Forks | ⑂ 18K | ⑂ 656 |
| 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 L7 if
- You want the L7 feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and L7 fits your workflow better
About Apache Superset
Apache Superset is an open source business intelligence platform that enables self serve data exploration and dashboard creation. It runs as a web application and provides tools for analysts and business users to visualize and analyze data without writing complex code, while also offering advanced capabilities for data engineers and developers. Superset lives in the Apache Software Foundation ecosystem and is licensed under Apache 2.0.
read the full Apache Superset overview →
About L7
English 简体中文 L7 🌍 地理空间数据可视分析引擎 教程 • 文档 • 示例 • 贡献 L7 是由蚂蚁集团 AntV 数据可视化团队推出的基于 WebGL 的开源大规模地理空间数据可视分析引擎。L7 中的 L 代表 Location，7 代表世界七大洲，寓意能为全球位置数据提供可视分析的能力。L7 专注数据可视化化表达，通过颜色、大小、纹理，方向，体积等视觉变量设置实现从数据到信息清晰，有效的表达。 L7 能够满足常见的地图图表，BI 系统的可视化分析、以及 GIS，交通，电力，国土，农业，城市等领域的空间信息管理，分析等应用系统开发需求。 🌟 核心特性 🌏 数据驱动可视化展示 数据驱动，灵活数据映射，从数到形，支持丰富的地图可视化类型，更好洞察数据。 🌏 2D，3D 一体化的海量数据高性能渲染 海量空间数据实时，可交互，动态渲染。 🌏 简单灵活的数据接入 支持 CSV，JSON，GeoJSON 等数据格式接入，可以根据需求自定义数据格式，无需复杂的空间数据转换。 🌏 多地图底图支持，支持离线内网部署 屏蔽不同底图之间的差异，用户只需要关注数据层表达，交互。高德地图国内合法合规的地理底图，Mapbox 满足国际化业务需求。 🌈 支持丰富的图表类型 点图层 气泡图 散点图 符号地图 3D 柱状地图 聚合地图 复合图表地图 自定义 Marker 线图层 路径地图 弧线，支持 2D 弧线、3D 弧线以及…
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Frequently asked questions
Is Apache Superset or L7 more popular?
Apache Superset has 74,821 GitHub stars and L7 has 4,063. Apache Superset has the larger community by that measure.
Are Apache Superset and L7 free?
Both are open source. Apache Superset is licensed under Apache-2.0 and L7 under MIT. Neither carries a licence fee.
What is the difference between Apache Superset and L7?
Apache Superset is written in Python and L7 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, Apache Superset or L7?
Choose Apache Superset if you want the larger community (74,821 stars) or its Apache-2.0 licence terms. Choose L7 if its feature set, stack or MIT licence fits better. Both are self-hostable.