--- title: "whodb vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/clidey-whodb-vs-sindresorhus-awesome" tools: ["clidey-whodb", "sindresorhus-awesome"] --- # whodb vs awesome *GraphCanon updated Jul 15, 2026* ## 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. [whodb](https://whodb.com) reports 4.9k GitHub stars, 221 forks, and 22 open issues, last pushed Jul 14, 2026. [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 [whodb's repository](https://github.com/clidey/whodb) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [whodb](/tools/clidey-whodb.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Where data access meets operational intelligence | 😎 Awesome lists about all kinds of interesting topics | | Stars | 4,926 | 484,026 | | Forks | 221 | 35,799 | | Open issues | 22 | 92 | | Language | Go | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC0-1.0 | | Categories | Computer Vision, Developer Tools, Inference & Serving | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [whodb](/tools/clidey-whodb.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 11d | | Open issues (now) | 22 | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/clidey-whodb/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### 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. ### 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 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 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 ## 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](/tools/clidey-whodb/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([whodb markdown twin](/tools/clidey-whodb/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/clidey-whodb-vs-sindresorhus-awesome.md) 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](/tools/clidey-whodb/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=clidey-whodb`](/api/graphcanon/graph?tool=clidey-whodb) - 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/_