head to head · open source
LiveKit vs social-media-research-skills
LiveKit has 21,852 GitHub stars, 2,500 forks, 189 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. LiveKit leads on adoption by 348% (21,852 vs 4,883 stars). LiveKit is written in Go under Apache-2.0; social-media-research-skills is written in Python under MIT. LiveKit has attracted 11% as many forks as stars, social-media-research-skills 2%. LiveKit 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.
← all 20902 open source comparisons
Side by side
| LiveKit | social-media-research-skills | |
|---|---|---|
| GitHub stars | ★ 22K | ★ 4.9K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-10-27 | 2026-08-26 |
| Forks | ⑂ 2.5K | ⑂ 95 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LiveKit if
- You weight community size — 22K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Go
- 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 LiveKit
LiveKit: Realtime infrastructure for voice, video, and AI agents LiveKit is an open source platform for building voice, video, and physical AI agents. This repository is the LiveKit server: a scalable, distributed WebRTC SFU that moves realtime audio, video, and data between people, devices, and AI models. The SDKs, agents frameworks, and companion services are linked in the table at the bottom of this page. LiveKit's server is written in Go, using the awesome Pion WebRTC implementation. [!IMPORTANT] If you're building Voice AI, LiveKit Agents is the SDK for code first realtime voice agents. STT, LLM, TTS, turn…
read the full LiveKit 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 →
More in Productivity & Utilities
Related comparisons
More Automation projects
Compare either of these against the rest of the Automation field.
Frequently asked questions
Is LiveKit or social-media-research-skills more popular?
LiveKit has 21,852 GitHub stars and social-media-research-skills has 4,883. LiveKit has the larger community by that measure.
Are LiveKit and social-media-research-skills free?
Both are open source. LiveKit is licensed under Apache-2.0 and social-media-research-skills under MIT. Neither carries a licence fee.
What is the difference between LiveKit and social-media-research-skills?
LiveKit is written in Go 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, LiveKit or social-media-research-skills?
Choose LiveKit if you want the larger community (21,852 stars) or its Apache-2.0 licence terms. Choose social-media-research-skills if its feature set, stack or MIT licence fits better. Both are self-hostable.