head to head · open source
Toonflow-app vs local-deep-research
Toonflow-app has 21,127 GitHub stars, 3,797 forks, 1 open issues and last shipped 5 days ago. local-deep-research has 9,546 stars, 911 forks, 889 open issues and last shipped yesterday. Toonflow-app leads on adoption by 121% (21,127 vs 9,546 stars). Toonflow-app is written in TypeScript under MIT; local-deep-research is written in Python under MIT. Toonflow-app has attracted 18% as many forks as stars, local-deep-research 10%. local-deep-research 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
| Toonflow-app | local-deep-research | |
|---|---|---|
| GitHub stars | ★ 21K | ★ 9.5K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-05 | 2026-11-09 |
| Forks | ⑂ 3.8K | ⑂ 911 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Toonflow-app if
- You weight community size — 21K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick local-deep-research if
- You want the local-deep-research feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and local-deep-research fits your workflow better
About Toonflow-app
简体中文 繁體中文 English ไทย Tiếng Việt 日本語 Русский 开源 AI 短剧漫剧视频创作平台 🚀 一站式短剧创作 ：集成剧本创作、资产管理、图像与视频生成，在无限画布中组织完整的创作流程。 下载客户端 · 使用教程 · 插件市场 · 开发者文档 · 官方模型平台 1. 💛 赞助与支持 感谢以下合作伙伴对 Toonflow 开源项目的支持。 秘塔 秘塔科技提供高性价比的 MiniMax H3 视频生成服务：768P 仅 0.09 元/秒，2K 仅 0.15 元/秒。支持原生 2K、音画同步，API 兼容 OpenAI 协议，同时支持 ComfyUI、无限画布，无需自行部署 GPU。 🎁 通过 专属链接注册 ，即可领取赠送额度及专属优惠。商务对接可加微信：metasota12 APIMart 感谢 APIMart 赞助了本项目！APIMart 是专注 AI 图片/视频生成的低价 API 平台，GPT Image 2 低至 $0.006/张，1 美元可出图 160+ 张。图片、视频一套异步 API 通吃，提交任务拿 ID、回调取结果，跑批万张不超时、换模型不改代码。按量付费、无月费，通过此 注册链接 注册即可开用。 优云智算 优云智算提供高性价比 H3 视频生成服务，涵盖文生视频、首尾帧及全能参考。支持最长 30s 视频、原生 2K 画质，768P 仅 0.08 元/秒。支持 API…
read the full Toonflow-app overview →
About local-deep-research
Local Deep Research AI powered research assistant for deep, agentic research Performs deep, agentic research using multiple LLMs and search engines with proper citations 🧪 First open source project — fully local on a single RTX 3090 (Qwen3.6 27B) — to report 95% SimpleQA (n=500) and 77% xbench DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. ▶️ Watch Review by The Art Of The Terminal 🚀 What is Local Deep Research? AI research assistant you control. Run locally for privacy, use any LLM and build your own searchable knowledge base. You own your data and see…
read the full local-deep-research overview →
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Frequently asked questions
Is Toonflow-app or local-deep-research more popular?
Toonflow-app has 21,127 GitHub stars and local-deep-research has 9,546. Toonflow-app has the larger community by that measure.
Are Toonflow-app and local-deep-research free?
Both are open source. Toonflow-app is licensed under MIT and local-deep-research under MIT. Neither carries a licence fee.
What is the difference between Toonflow-app and local-deep-research?
Toonflow-app is written in TypeScript and local-deep-research 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, Toonflow-app or local-deep-research?
Choose Toonflow-app if you want the larger community (21,127 stars) or its MIT licence terms. Choose local-deep-research if its feature set, stack or MIT licence fits better. Both are self-hostable.