head to head · open source
n8n vs social-media-research-skills
n8n has 208,698 GitHub stars, 61,260 forks, 1,143 open issues and last shipped yesterday. social-media-research-skills has 4,883 stars, 95 forks, 3 open issues and last shipped 2 months ago. n8n leads on adoption by 4,174% (208,698 vs 4,883 stars). n8n is written in TypeScript under a custom or non-standard licence; social-media-research-skills is written in Python under MIT. n8n has attracted 29% as many forks as stars, social-media-research-skills 2%. n8n 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
| n8n | social-media-research-skills | |
|---|---|---|
| GitHub stars | ★ 209K | ★ 4.9K |
| License | Custom / other | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-10-27 | 2026-08-26 |
| Forks | ⑂ 61K | ⑂ 95 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick n8n if
- You weight community size — 209K stars and counting
- You want the Custom / other license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
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
About n8n
n8n – The Platform for AI Agents and Workflow Automation Fair code platform to build and deploy AI agents and workflows. Combine a visual canvas with custom code, run it self hosted or in the cloud, and connect to 1500+ integrations. AI automation you can trust with real work, from prototype to production. Key Capabilities AI Native Automation Platform : Build and operationalize AI workflows and multi step agents using your own data, models, and tools Model Flexibility, No Lock In : Connect to OpenAI, Anthropic, Google, or open source models and switch providers without changing your architecture From Prototype…
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 n8n or social-media-research-skills more popular?
n8n has 208,698 GitHub stars and social-media-research-skills has 4,883. n8n has the larger community by that measure.
Are n8n and social-media-research-skills free?
Both are open source. n8n has no licence declared in this registry, and social-media-research-skills is licensed under MIT. Both are free to self-host.
What is the difference between n8n and social-media-research-skills?
n8n 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, n8n or social-media-research-skills?
Choose n8n if you want the larger community (208,698 stars) or its Custom / other licence terms. Choose social-media-research-skills if its feature set, stack or MIT licence fits better. Both are self-hostable.