Home/Compare/whodb vs awesome

Comparison

whodb vs awesome

Verdict

Pick whodb when license: whodb is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, whodb is Apache-2.0.

Markdown twin · whodb alternatives · awesome alternatives

GraphCanon updated today

whodb logo

whodb

clidey/whodb

4.9kpushed Jul 14, 2026
vs
awesome logo

awesome

sindresorhus/awesome

484kpushed Jun 30, 2026

Trust & integrity

Signalwhodbawesome
Maintenance
Very active (0d since push)
As of today · github_public_v1
Active (11d since push)
As of 3d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of 3d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 3d · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

whodb
Where data access meets operational intelligence
awesome
😎 Awesome lists about all kinds of interesting topics

Stars

whodb
4.9k
awesome
484k

Forks

whodb
221
awesome
36k

Open issues

whodb
22
awesome
92

Language

whodb
Go
awesome
-

Adopt for

whodb
-
awesome
A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics.

Persona

whodb
-
awesome
-

Runtime

whodb
-
awesome
-

License

whodb
Apache-2.0
awesome
CC0-1.0

Last pushed

whodb
Jul 14, 2026
awesome
Jun 30, 2026

Categories

whodb
Computer Vision, Developer Tools, Inference & Serving
awesome
Developer Tools

Trust and health

Maintenance

whodb
Very active (96%)
awesome
Active (82%)

Days since push

whodb
0d
awesome
11d

Open issues (now)

whodb
22
awesome
92

Owner type

whodb
Organization
awesome
User

Full report

Choose whodb if…

  • License: whodb is Apache-2.0, awesome is CC0-1.0.
  • Tags unique to whodb: anthropic, clickhouse, data-analysis, data-visualization.
  • Also covers Computer Vision, Inference & Serving.

When NOT to use whodb

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose awesome if…

  • License: awesome is CC0-1.0, whodb is Apache-2.0.
  • Tags unique to awesome: awesome, awesome-list, lists, resources.
  • When you need well-organized access to diverse technical subjects from IoT to robotics

When NOT to use awesome

  • If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources
  • In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion

Explore

Sources

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

GitHub stars on cards: whodb 4.9k · awesome 484k (synced Jul 15, 2026).

Common questions

What is the difference between whodb and awesome?
whodb: Where data access meets operational intelligence. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories.
When should I choose whodb over awesome?
Choose whodb over awesome when License: whodb is Apache-2.0, awesome is CC0-1.0; Tags unique to whodb: anthropic, clickhouse, data-analysis, data-visualization; Also covers Computer Vision, Inference & Serving.
When should I choose awesome over whodb?
Choose awesome over whodb when License: awesome is CC0-1.0, whodb is Apache-2.0; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics.
When should I avoid whodb?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid awesome?
If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion
Is whodb or awesome more popular on GitHub?
awesome has more GitHub stars (484,026 vs 4,926). Stars measure visibility, not whether either tool fits your constraints.
Are whodb and awesome open source?
Yes - both are open-source projects on GitHub (whodb: Apache-2.0, awesome: CC0-1.0).
Where can I find alternatives to whodb or awesome?
GraphCanon lists graph-backed alternatives at whodb alternatives and awesome alternatives (whodb 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, whodb or awesome?
whodb: Very active. 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 whodb and awesome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whodb trust report; awesome trust report.

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