head to head · open source
Ladybird vs GPT-Conversation-Toolkit
Ladybird has 66,240 GitHub stars, 3,162 forks, 535 open issues and last shipped today. GPT-Conversation-Toolkit has 950 stars, 27 forks, 5 open issues and last shipped yesterday. Ladybird leads on adoption by 6,873% (66,240 vs 950 stars). Ladybird is written in C++ under BSD-2-Clause; GPT-Conversation-Toolkit is written in JavaScript under MIT. Ladybird has attracted 5% as many forks as stars, GPT-Conversation-Toolkit 3%. Ladybird 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
| Ladybird | GPT-Conversation-Toolkit | |
|---|---|---|
| GitHub stars | ★ 66K | ★ 950 |
| License | BSD-2-Clause | MIT |
| Written in | C++ | JavaScript |
| Last push | 2026-09-18 | 2026-09-17 |
| Forks | ⑂ 3.2K | ⑂ 27 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ladybird if
- You weight community size — 66K stars and counting
- You want the BSD-2-Clause license terms
- Your stack matches C++
- You value the larger contributor base for long-term maintenance
pick GPT-Conversation-Toolkit if
- You want the GPT-Conversation-Toolkit feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and GPT-Conversation-Toolkit fits your workflow better
About Ladybird
Ladybird is a truly independent web browser and browser engine, written from scratch in C++ rather than as a fork of any existing engine, and it is built for developers who want to work on a browser engine based on web standards while it remains in a pre alpha state.
read the full Ladybird overview →
About GPT-Conversation-Toolkit
ChatGPT Conversation Toolkit 🧰✨ 简体中文 English 适用于 ChatGPT Web 的浏览器插件，主要解决导出、搜索、Prompt 管理、时间线定位、对话文件夹管理和多语言界面切换问题 🚀 当前活跃维护者： bujue3709 （主要 / 唯一活跃维护者） 当前版本： v1.4.3 v1.4.3 更新内容（2026 09 17）🆕 新增 .png 长图导出。 PNG 基于完整会话导出数据生成，不依赖当前视口 DOM；API 不可用时仍会明确提示仅包含当前可获得的已加载/缓存消息。 固定 1080px 白底阅读版式，保留标题、段落、标题、粗体、行内代码、代码块、引用、列表、分隔线和基础表格可读性。 超长会话会在消息之间优先自动分页；单条超长消息才会按内容结构拆分，并使用 User · continued / ChatGPT · continued 标记续页。 多页文件按 part 01 、 part 02 顺序生成并下载；每次只创建一张大 Canvas，转为 PNG Blob 后立即释放，再处理下一页。 增加生成进度、重复任务锁和数据获取/图片渲染/内容过大/未知错误分类提示。 ChatGPT 虚拟化列表影响说明（重要） 从近期版本开始，ChatGPT Web 在会话主区采用“虚拟化列表”渲染： 浏览器中只保留当前视口附近的一部分消息 DOM。 早期消息会在你滚动时按需加载，离开…
read the full GPT-Conversation-Toolkit overview →
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Frequently asked questions
Is Ladybird or GPT-Conversation-Toolkit more popular?
Ladybird has 66,240 GitHub stars and GPT-Conversation-Toolkit has 950. Ladybird has the larger community by that measure.
Are Ladybird and GPT-Conversation-Toolkit free?
Both are open source. Ladybird is licensed under BSD-2-Clause and GPT-Conversation-Toolkit under MIT. Neither carries a licence fee.
What is the difference between Ladybird and GPT-Conversation-Toolkit?
Ladybird is written in C++ and GPT-Conversation-Toolkit in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Ladybird or GPT-Conversation-Toolkit?
Choose Ladybird if you want the larger community (66,240 stars) or its BSD-2-Clause licence terms. Choose GPT-Conversation-Toolkit if its feature set, stack or MIT licence fits better. Both are self-hostable.