head to head · open source
ODS vs social-media-research-skills
ODS has 7,753 GitHub stars, 1,102 forks, 2,618 open issues and last shipped yesterday. social-media-research-skills has 5,418 stars, 117 forks, 3 open issues and last shipped 2 months ago. ODS leads on adoption by 43% (7,753 vs 5,418 stars). ODS is written in Python under Apache-2.0; social-media-research-skills is written in Python under MIT. ODS has attracted 14% as many forks as stars, social-media-research-skills 2%. ODS 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.
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Side by side
| ODS | social-media-research-skills | |
|---|---|---|
| GitHub stars | ★ 7.8K | ★ 5.4K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-08-26 |
| Forks | ⑂ 1.1K | ⑂ 117 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ODS if
- You weight community size — 7.8K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- 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 ODS
ODS Osmantic Deployment System Turn your PC, Mac, or Linux box into a private AI server. AI server and homelab setup is rapidly becoming a solved problem. It should feel that way for everyone. ODS installs and wires together everything you need to run AI locally, so you do not have to assemble Ollama, Open WebUI, n8n, ComfyUI, and privacy tools by hand: Local model inference — run open models on your own hardware ChatGPT style web UI — talk to your models from any browser Control dashboard — manage models, services, setup, GPU status, and extensions from one place Voice, agents, and workflows — build automations…
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 ODS or social-media-research-skills more popular?
ODS has 7,753 GitHub stars and social-media-research-skills has 5,418. ODS has the larger community by that measure.
Are ODS and social-media-research-skills free?
Both are open source. ODS is licensed under Apache-2.0 and social-media-research-skills under MIT. Neither carries a licence fee.
What is the difference between ODS and social-media-research-skills?
ODS is written in Python 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, ODS or social-media-research-skills?
Choose ODS if you want the larger community (7,753 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.