head to head · open source
social-media-research-skills vs daml
social-media-research-skills has 5,319 GitHub stars, 111 forks, 3 open issues and last shipped 2 months ago. daml has 924 stars, 265 forks, 753 open issues and last shipped yesterday. social-media-research-skills leads on adoption by 476% (5,319 vs 924 stars). social-media-research-skills is written in Python under MIT; daml is written in Haskell under Apache-2.0. social-media-research-skills has attracted 2% as many forks as stars, daml 29%. daml was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (workflow-automation), 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
| social-media-research-skills | daml | |
|---|---|---|
| GitHub stars | ★ 5.3K | ★ 924 |
| License | MIT | Apache-2.0 |
| Written in | Python | Haskell |
| Last push | 2026-08-26 | 2026-11-02 |
| Forks | ⑂ 111 | ⑂ 265 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick social-media-research-skills if
- You weight community size — 5.3K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick daml if
- You want the daml feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Haskell
- You evaluated both and daml fits your workflow better
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 →
About daml
See full README at sdk/README.md
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Frequently asked questions
Is social-media-research-skills or daml more popular?
social-media-research-skills has 5,319 GitHub stars and daml has 924. social-media-research-skills has the larger community by that measure.
Are social-media-research-skills and daml free?
Both are open source. social-media-research-skills is licensed under MIT and daml under Apache-2.0. Neither carries a licence fee.
What is the difference between social-media-research-skills and daml?
social-media-research-skills is written in Python and daml in Haskell. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, social-media-research-skills or daml?
Choose social-media-research-skills if you want the larger community (5,319 stars) or its MIT licence terms. Choose daml if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.