--- title: "ollama-js vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ollama-ollama-js-vs-sindresorhus-awesome" tools: ["ollama-ollama-js", "sindresorhus-awesome"] --- # ollama-js vs awesome *GraphCanon updated Jul 15, 2026* ## Verdict Pick ollama-js when license: ollama-js is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, ollama-js is MIT. [ollama-js](https://ollama.com) reports 4.3k GitHub stars, 454 forks, and 82 open issues, last pushed Feb 18, 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 [ollama-js's repository](https://github.com/ollama/ollama-js) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [ollama-js](/tools/ollama-ollama-js.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Ollama JavaScript library | 😎 Awesome lists about all kinds of interesting topics | | Stars | 4,310 | 484,026 | | Forks | 454 | 35,799 | | Open issues | 82 | 92 | | Language | TypeScript | - | | Adopt for | - | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | Computer Vision, Developer Tools, Inference & Serving | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ollama-js](/tools/ollama-ollama-js.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 146d | 11d | | Open issues (now) | 82 | 92 | | Owner type | Organization | User | | Full report | [trust report](/tools/ollama-ollama-js/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 ollama-js if… - License: ollama-js is MIT, awesome is CC0-1.0. - Tags unique to ollama-js: javascript, js, ollama, typescript. - Also covers Computer Vision, Inference & Serving. ### Choose awesome if… - License: awesome is CC0-1.0, ollama-js is MIT. - 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 ollama-js - Last GitHub push was 146 days ago (slowing maintenance, Feb 18, 2026). Validate activity before betting a new project on ollama-js. - 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 ollama-js and awesome? ollama-js: Ollama JavaScript library. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose ollama-js over awesome? Choose ollama-js over awesome when License: ollama-js is MIT, awesome is CC0-1.0; Tags unique to ollama-js: javascript, js, ollama, typescript; Also covers Computer Vision, Inference & Serving. ### When should I choose awesome over ollama-js? Choose awesome over ollama-js when License: awesome is CC0-1.0, ollama-js is MIT; 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 ollama-js? Last GitHub push was 146 days ago (slowing maintenance, Feb 18, 2026). Validate activity before betting a new project on ollama-js. 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 ollama-js or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 4,310). Stars measure visibility, not whether either tool fits your constraints. ### Are ollama-js and awesome open source? Yes - both are open-source projects on GitHub (ollama-js: MIT, awesome: CC0-1.0). ### Where can I find alternatives to ollama-js or awesome? GraphCanon lists graph-backed alternatives at [ollama-js alternatives](/tools/ollama-ollama-js/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([ollama-js markdown twin](/tools/ollama-ollama-js/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/ollama-ollama-js-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ollama-js or awesome? ollama-js: Slowing. 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 ollama-js and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ollama-js trust report](/tools/ollama-ollama-js/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ollama-ollama-js`](/api/graphcanon/graph?tool=ollama-ollama-js) - 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/_