--- title: "waggle-dance vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-merge-waggle-dance-vs-sindresorhus-awesome" tools: ["agi-merge-waggle-dance", "sindresorhus-awesome"] --- # waggle-dance vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick waggle-dance when license: waggle-dance is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, waggle-dance is MIT. [waggle-dance](https://waggledance.ai) reports 172 GitHub stars, 12 forks, and 0 open issues, last pushed Dec 17, 2023. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [waggle-dance's repository](https://github.com/agi-merge/waggle-dance) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [waggle-dance](/tools/agi-merge-waggle-dance.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Knowledge work automation with AI agents | 😎 Curated list of awesome topics including hardware resources | | Stars | 172 | 484,026 | | Forks | 12 | 35,799 | | Open issues | 0 | 92 | | Language | TypeScript | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | LLM Frameworks, AI Agents, Vector Databases | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [waggle-dance](/tools/agi-merge-waggle-dance.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Active (82%) | | Days since push | 936d | 11d | | Archived on GitHub | Yes | No | | Open issues (now) | 0 | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/agi-merge-waggle-dance/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose waggle-dance if… - License: waggle-dance is MIT, awesome is CC0-1.0. - Tags unique to waggle-dance: autogpt, llm, ai, nextjs. - Also covers AI Agents, Vector Databases. - waggle-dance ships Docker support for self-hosted deployment. ### Choose awesome if… - License: awesome is CC0-1.0, waggle-dance is MIT. - Tags unique to awesome: resources, awesome-list. - More GitHub stars (484k vs 172) - visibility, not fit. ## When NOT to use waggle-dance - waggle-dance is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between waggle-dance and awesome? waggle-dance: Knowledge work automation with AI agents. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose waggle-dance over awesome? Choose waggle-dance over awesome when License: waggle-dance is MIT, awesome is CC0-1.0; Tags unique to waggle-dance: autogpt, llm, ai, nextjs; Also covers AI Agents, Vector Databases; waggle-dance ships Docker support for self-hosted deployment. ### When should I choose awesome over waggle-dance? Choose awesome over waggle-dance when License: awesome is CC0-1.0, waggle-dance is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 172) - visibility, not fit. ### When should I avoid waggle-dance? waggle-dance is archived on GitHub. Prefer an active alternative unless you maintain a private fork or need a frozen dependency. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid awesome? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is waggle-dance or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 172). Stars measure visibility, not whether either tool fits your constraints. ### Are waggle-dance and awesome open source? Yes - both are open-source projects on GitHub (waggle-dance: MIT, awesome: CC0-1.0). ### Where can I find alternatives to waggle-dance or awesome? GraphCanon lists graph-backed alternatives at [waggle-dance alternatives](/tools/agi-merge-waggle-dance/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([waggle-dance markdown twin](/tools/agi-merge-waggle-dance/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agi-merge-waggle-dance-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, waggle-dance or awesome? waggle-dance: Archived. awesome: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for waggle-dance and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [waggle-dance trust report](/tools/agi-merge-waggle-dance/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agi-merge-waggle-dance`](/api/graphcanon/graph?tool=agi-merge-waggle-dance) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_