head to head · open source
cadence vs social-media-research-skills
cadence has 9,536 GitHub stars, 930 forks, 205 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. cadence leads on adoption by 76% (9,536 vs 5,418 stars). cadence is written in Go under Apache-2.0; social-media-research-skills is written in Python under MIT. cadence has attracted 10% as many forks as stars, social-media-research-skills 2%. cadence 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
| cadence | social-media-research-skills | |
|---|---|---|
| GitHub stars | ★ 9.5K | ★ 5.4K |
| License | Apache-2.0 | MIT |
| Written in | Go | Python |
| Last push | 2026-11-04 | 2026-08-26 |
| Forks | ⑂ 930 | ⑂ 117 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick cadence if
- You weight community size — 9.5K 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 cadence
Cadence Cadence Workflow is an open source platform since 2017 for building and running scalable, fault tolerant, and long running workflows. This repository contains the core orchestration engine and tools including CLI, schema managment, benchmark and canary. Getting Started Cadence backend consists of multiple services, a database (Cassandra/MySQL/PostgreSQL) and optionally Kafka+Elasticsearch. As a user, you need a worker which contains your workflow implementation. Once you have Cadence backend and worker(s) running, you can trigger workflows by using SDKs or via CLI. 1. Start cadence backend components…
read the full cadence 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 cadence or social-media-research-skills more popular?
cadence has 9,536 GitHub stars and social-media-research-skills has 5,418. cadence has the larger community by that measure.
Are cadence and social-media-research-skills free?
Both are open source. cadence is licensed under Apache-2.0 and social-media-research-skills under MIT. Neither carries a licence fee.
What is the difference between cadence and social-media-research-skills?
cadence 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, cadence or social-media-research-skills?
Choose cadence if you want the larger community (9,536 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.