--- title: "onnxruntime-server vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kibae-onnxruntime-server-vs-sindresorhus-awesome" tools: ["kibae-onnxruntime-server", "sindresorhus-awesome"] --- # onnxruntime-server vs awesome *GraphCanon updated Jul 15, 2026* ## Verdict Pick onnxruntime-server when license: onnxruntime-server is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, onnxruntime-server is MIT. [onnxruntime-server](https://github.com/kibae/onnxruntime-server) reports 193 GitHub stars, 18 forks, and 8 open issues, last pushed Jul 11, 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 [onnxruntime-server's repository](https://github.com/kibae/onnxruntime-server) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [onnxruntime-server](/tools/kibae-onnxruntime-server.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | ONNX Runtime Server: The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference. | 😎 Awesome lists about all kinds of interesting topics | | Stars | 193 | 484,026 | | Forks | 18 | 35,799 | | Open issues | 8 | 92 | | Language | C++ | - | | 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._ | | [onnxruntime-server](/tools/kibae-onnxruntime-server.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 4d | 11d | | Open issues (now) | 8 | 92 | | Full report | [trust report](/tools/kibae-onnxruntime-server/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 onnxruntime-server if… - License: onnxruntime-server is MIT, awesome is CC0-1.0. - Tags unique to onnxruntime-server: ai, contributions-welcome, cuda, deep-learning. - Also covers Computer Vision, Inference & Serving. ### Choose awesome if… - License: awesome is CC0-1.0, onnxruntime-server 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 onnxruntime-server - 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 onnxruntime-server and awesome? onnxruntime-server: ONNX Runtime Server: The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose onnxruntime-server over awesome? Choose onnxruntime-server over awesome when License: onnxruntime-server is MIT, awesome is CC0-1.0; Tags unique to onnxruntime-server: ai, contributions-welcome, cuda, deep-learning; Also covers Computer Vision, Inference & Serving. ### When should I choose awesome over onnxruntime-server? Choose awesome over onnxruntime-server when License: awesome is CC0-1.0, onnxruntime-server 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 onnxruntime-server? 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 onnxruntime-server or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 193). Stars measure visibility, not whether either tool fits your constraints. ### Are onnxruntime-server and awesome open source? Yes - both are open-source projects on GitHub (onnxruntime-server: MIT, awesome: CC0-1.0). ### Where can I find alternatives to onnxruntime-server or awesome? GraphCanon lists graph-backed alternatives at [onnxruntime-server alternatives](/tools/kibae-onnxruntime-server/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([onnxruntime-server markdown twin](/tools/kibae-onnxruntime-server/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/kibae-onnxruntime-server-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, onnxruntime-server or awesome? onnxruntime-server: 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 onnxruntime-server and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [onnxruntime-server trust report](/tools/kibae-onnxruntime-server/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kibae-onnxruntime-server`](/api/graphcanon/graph?tool=kibae-onnxruntime-server) - 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/_