head to head · open source
mitosis vs social-media-research-skills
mitosis has 14,447 GitHub stars, 679 forks, 176 open issues and last shipped 29 days ago. social-media-research-skills has 4,883 stars, 95 forks, 3 open issues and last shipped 2 months ago. mitosis leads on adoption by 196% (14,447 vs 4,883 stars). mitosis is written in TypeScript under MIT; social-media-research-skills is written in Python under MIT. mitosis has attracted 5% as many forks as stars, social-media-research-skills 2%. mitosis 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
| mitosis | social-media-research-skills | |
|---|---|---|
| GitHub stars | ★ 14K | ★ 4.9K |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-09-29 | 2026-08-26 |
| Forks | ⑂ 679 | ⑂ 95 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick mitosis if
- You weight community size — 14K stars and counting
- You want the MIT 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 mitosis
Write components once, compile to every framework Overview Mitosis provides a unified development experience across all frameworks, enabling you to build components in a single codebase and compile them to React, Vue, Angular, Svelte, Solid, Alpine, Qwik, and more. Using Mitosis, you can: Maintain a consistent design system across multiple frameworks (example) Sync your design systems from Figma to code and publish them to npm across frameworks Avoid the pitfalls of web components by compiling to native framework code PS: We are actively looking for folks interested in becoming contributors to Mitosis. If…
read the full mitosis 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 mitosis or social-media-research-skills more popular?
mitosis has 14,447 GitHub stars and social-media-research-skills has 4,883. mitosis has the larger community by that measure.
Are mitosis and social-media-research-skills free?
Both are open source. mitosis is licensed under MIT and social-media-research-skills under MIT. Neither carries a licence fee.
What is the difference between mitosis and social-media-research-skills?
mitosis 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, mitosis or social-media-research-skills?
Choose mitosis if you want the larger community (14,447 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.