Home/Compare/waggle-dance vs awesome

Comparison

waggle-dance vs awesome

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.

Markdown twin · waggle-dance alternatives · awesome alternatives

GraphCanon updated today

waggle-dance logo

waggle-dance

agi-merge/waggle-dance

172pushed Dec 17, 2023
vs
awesome logo

awesome

sindresorhus/awesome

484kpushed Jun 30, 2026

Trust & integrity

Signalwaggle-danceawesome
Maintenance
Archived (936d since push)
As of today · github_public_v1
Active (11d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

waggle-dance
Knowledge work automation with AI agents
awesome
😎 Curated list of awesome topics including hardware resources

Stars

waggle-dance
172
awesome
484k

Forks

waggle-dance
12
awesome
36k

Open issues

waggle-dance
0
awesome
92

Language

waggle-dance
TypeScript
awesome
-

Adopt for

waggle-dance
-
awesome
-

Persona

waggle-dance
-
awesome
-

Runtime

waggle-dance
-
awesome
-

License

waggle-dance
MIT
awesome
CC0-1.0

Last pushed

waggle-dance
Dec 17, 2023
awesome
Jun 30, 2026

Categories

waggle-dance
AI Agents, Vector Databases, LLM Frameworks
awesome
LLM Frameworks

Trust and health

Maintenance

waggle-dance
Archived (8%)
awesome
Active (82%)

Days since push

waggle-dance
936d
awesome
11d

Archived on GitHub

waggle-dance
Yes
awesome
No

Open issues (now)

waggle-dance
0
awesome
92

Owner type

waggle-dance
Organization
awesome
User

Full report

waggle-dance
Trust report

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.

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.
  • 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.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

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 awesome

  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: waggle-dance 172 · awesome 484k (synced Jul 11, 2026).

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. 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. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 and awesome alternatives (waggle-dance markdown twin, awesome markdown twin), 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 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; awesome trust report.