--- title: "vad vs ai-engineering-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ricky0123-vad-vs-rohitg00-ai-engineering-from-scratch" tools: ["ricky0123-vad", "rohitg00-ai-engineering-from-scratch"] --- # vad vs ai-engineering-from-scratch *GraphCanon updated Jul 11, 2026* ## Verdict Pick vad when vad is primarily TypeScript; ai-engineering-from-scratch is Python; pick ai-engineering-from-scratch when ai-engineering-from-scratch is primarily Python; vad is TypeScript. [vad](https://www.vad.ricky0123.com) reports 2.0k GitHub stars, 271 forks, and 77 open issues, last pushed Jan 30, 2026. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 38k stars, 6.3k forks, and 96 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [vad's repository](https://github.com/ricky0123/vad) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch). | | [vad](/tools/ricky0123-vad.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Tagline | Voice activity detector (VAD) for the browser with a simple API | Learn it. Build it. Ship it for others. | | Stars | 2,016 | 37,922 | | Forks | 271 | 6,329 | | Open issues | 77 | 96 | | Language | TypeScript | Python | | Adopt for | - | Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Computer Vision, Inference & Serving, Speech & Audio | AI Agents, Computer Vision, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [vad](/tools/ricky0123-vad.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 161d | 15d | | Open issues (now) | 77 | 96 | | Security scan | 29 low (29 low) | No MCP manifest | | Full report | [trust report](/tools/ricky0123-vad/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | ## Decision facts: ai-engineering-from-scratch - **Pricing:** freemium - The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up - **Adopt for:** Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. ## Choose when ### Choose vad if… - vad is primarily TypeScript; ai-engineering-from-scratch is Python. - License: vad is Other, ai-engineering-from-scratch is MIT. - Tags unique to vad: onnxruntime, silero-vad, speech-to-text, typescript. - Also covers Inference & Serving, Speech & Audio. ### Choose ai-engineering-from-scratch if… - ai-engineering-from-scratch is primarily Python; vad is TypeScript. - License: ai-engineering-from-scratch is MIT, vad is Other. - Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up. - Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning. - Also covers AI Agents, Developer Tools, LLM Frameworks. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ## When NOT to use vad - Last GitHub push was 162 days ago (slowing maintenance, Jan 30, 2026). Validate activity before betting a new project on vad. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use ai-engineering-from-scratch - If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. - When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ## Common questions ### What is the difference between vad and ai-engineering-from-scratch? vad: Voice activity detector (VAD) for the browser with a simple API. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories. ### When should I choose vad over ai-engineering-from-scratch? Choose vad over ai-engineering-from-scratch when vad is primarily TypeScript; ai-engineering-from-scratch is Python; License: vad is Other, ai-engineering-from-scratch is MIT; Tags unique to vad: onnxruntime, silero-vad, speech-to-text, typescript; Also covers Inference & Serving, Speech & Audio. ### When should I choose ai-engineering-from-scratch over vad? Choose ai-engineering-from-scratch over vad when ai-engineering-from-scratch is primarily Python; vad is TypeScript; License: ai-engineering-from-scratch is MIT, vad is Other; Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning; Also covers AI Agents, Developer Tools, LLM Frameworks; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I avoid vad? Last GitHub push was 162 days ago (slowing maintenance, Jan 30, 2026). Validate activity before betting a new project on vad. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid ai-engineering-from-scratch? If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ### Is vad or ai-engineering-from-scratch more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (37,922 vs 2,016). Stars measure visibility, not whether either tool fits your constraints. ### Are vad and ai-engineering-from-scratch open source? Yes - both are open-source projects on GitHub (vad: Other, ai-engineering-from-scratch: MIT). ### Where can I find alternatives to vad or ai-engineering-from-scratch? GraphCanon lists graph-backed alternatives at [vad alternatives](/tools/ricky0123-vad/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([vad markdown twin](/tools/ricky0123-vad/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/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/ricky0123-vad-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, vad or ai-engineering-from-scratch? vad: Slowing. ai-engineering-from-scratch: 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 vad and ai-engineering-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [vad trust report](/tools/ricky0123-vad/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ricky0123-vad`](/api/graphcanon/graph?tool=ricky0123-vad) - 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/_