head to head · open source
duckdb vs growth-lab
duckdb has 42,747 GitHub stars, 4,176 forks, 858 open issues and last shipped yesterday. growth-lab has 1,977 stars, 171 forks, 0 open issues and last shipped 1 months ago. duckdb leads on adoption by 2,062% (42,747 vs 1,977 stars). duckdb is written in C++ under MIT; growth-lab is written in Python under Apache-2.0. duckdb has attracted 10% as many forks as stars, growth-lab 9%. duckdb was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| duckdb | growth-lab | |
|---|---|---|
| GitHub stars | ★ 43K | ★ 2.0K |
| License | MIT | Apache-2.0 |
| Written in | C++ | Python |
| Last push | 2026-11-02 | 2026-09-28 |
| Forks | ⑂ 4.2K | ⑂ 171 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick duckdb if
- You weight community size — 43K stars and counting
- You want the MIT license terms
- Your stack matches C++
- You value the larger contributor base for long-term maintenance
pick growth-lab if
- You want the growth-lab feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and growth-lab fits your workflow better
About duckdb
DuckDB DuckDB is a high performance analytical database system. It is designed to be fast, reliable, portable, and easy to use. DuckDB provides a rich SQL dialect with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs, maps), and several extensions designed to make SQL easier to use. DuckDB is available as a standalone CLI application and has clients for Python, R, Java, Wasm, etc., with deep integrations with packages such as pandas and dplyr. For more information on using DuckDB, please refer to the DuckDB…
read the full duckdb overview →
About growth-lab
🧪 Growth Lab 用自然语言运行产品运营和用户增长闭环：理解产品，发现真实需求，采取行动，再从结果中找到下一步。 官网 简体中文 · English · 繁體中文 · Français · Español · Русский · Português · Deutsch · 日本語 · 한국어 · Türkçe · Tiếng Việt · Polski 为什么做 Growth Lab 大多数 AI 增长工具只解决一个局部问题：有的生成文案，有的研究竞品，有的负责发布，有的展示数据。产品上下文在不同工具之间反复丢失，真正重要的决策仍散落在仪表盘、文档、Prompt 和人工交接中。 增长是一个持续学习的闭环： 现代 Coding Agent 已经能够读取代码仓库、搜索网络、操作工具、编辑文件、跨上下文推理，并在会话中与人协作。Growth Lab 以 Codex 和 Claude Code 作为应用 Runtime，将这些能力组织成端到端的增长工作流。 产品模型 Skill 教 Runtime 如何理解产品、开展研究、选择工具、形成策略、制作内容、分析反馈和决定下一步。Client 工具让 Runtime 能够使用浏览器、官方 API、数据导出、内容平台和素材生成等外部能力。文件跨会话保存产品上下文、研究资料、决策与结果。 AI 会话负责控制整个工作流程。 每个 Model 都是一个“观察—行动—复盘”闭环。每个…
read the full growth-lab overview →
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Frequently asked questions
Is duckdb or growth-lab more popular?
duckdb has 42,747 GitHub stars and growth-lab has 1,977. duckdb has the larger community by that measure.
Are duckdb and growth-lab free?
Both are open source. duckdb is licensed under MIT and growth-lab under Apache-2.0. Neither carries a licence fee.
What is the difference between duckdb and growth-lab?
duckdb is written in C++ and growth-lab 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, duckdb or growth-lab?
Choose duckdb if you want the larger community (42,747 stars) or its MIT licence terms. Choose growth-lab if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.