head to head · open source

Toonflow-app vs social-media-research-skills

Toonflow-app has 19,617 GitHub stars, 3,524 forks, 1 open issues and last shipped yesterday. social-media-research-skills has 4,932 stars, 96 forks, 3 open issues and last shipped 2 months ago. Toonflow-app leads on adoption by 298% (19,617 vs 4,932 stars). Toonflow-app is written in TypeScript under MIT; social-media-research-skills is written in Python under MIT. Toonflow-app has attracted 18% as many forks as stars, social-media-research-skills 2%. Toonflow-app was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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.

Toonflow-app ★ 20K social-media-research-skills ★ 4.9K category Productivity & Utilities

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Side by side

Toonflow-app social-media-research-skills
GitHub stars ★ 20K ★ 4.9K
License MIT MIT
Written in TypeScript Python
Last push 2026-10-27 2026-08-26
Forks ⑂ 3.5K ⑂ 96
Self-hosting Yes Yes
Data ownership Your server Your server

pick Toonflow-app if

  • You weight community size — 20K stars and counting
  • You want the MIT license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Toonflow-app profile →

pick social-media-research-skills if

  • You want the social-media-research-skills feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and social-media-research-skills fits your workflow better

full social-media-research-skills profile →

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 social-media-research-skills

Social Media Research Skills for AI Agents Practical AI agent skills for social media research, powered by ScrapeCreators. These skills help agents find outlier posts, mine comments, summarize transcripts, tear down competitors, analyze ad libraries, and turn public social data into useful business artifacts. This is not just endpoint routing. The goal is to give your AI agent complete research workflows it can run across TikTok, Instagram, YouTube, Reddit, X/Twitter, LinkedIn, Facebook, Threads, Bluesky, Pinterest, Rumble, ad libraries, and more. Install Works with Claude Code, Cursor, OpenAI Codex, GitHub…

read the full social-media-research-skills overview →

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Frequently asked questions

Is Toonflow-app or social-media-research-skills more popular?

Toonflow-app has 19,617 GitHub stars and social-media-research-skills has 4,932. Toonflow-app has the larger community by that measure.

Are Toonflow-app and social-media-research-skills free?

Both are open source. Toonflow-app is licensed under MIT and social-media-research-skills under MIT. Neither carries a licence fee.

What is the difference between Toonflow-app and social-media-research-skills?

Toonflow-app is written in TypeScript and social-media-research-skills 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 social-media-research-skills?

Choose Toonflow-app if you want the larger community (19,617 stars) or its MIT licence terms. Choose social-media-research-skills if its feature set, stack or MIT licence fits better. Both are self-hostable.