--- title: "dograh vs awesome-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-sindresorhus-awesome-whisper" tools: ["dograh-hq-dograh", "sindresorhus-awesome-whisper"] --- # dograh vs awesome-whisper *GraphCanon updated Jul 30, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick awesome-whisper if awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. [awesome-whisper](https://github.com/sindresorhus/awesome-whisper) has 2.4k stars, 156 forks, and 7 open issues, last pushed Mar 17, 2026. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper). | | [dograh](/tools/dograh-hq-dograh.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Curated resources for Whisper speech recognition system | | Stars | 5,064 | 2,361 | | Forks | 1,185 | 156 | | Open issues | 20 | 7 | | Language | Python | - | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | CC0-1.0 | | Categories | Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 134d | | Open issues (now) | 20 | 7 | | Owner type | Organization | User | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Decision facts: awesome-whisper - **Adopt for:** awesome-whisper is an organized repository aggregating resources for OpenAI's Whisper AI-powered speech recognition system, covering models, apps, bindings, packages, and community tools. ## Choose when ### Choose dograh if… - License: dograh is BSD-2-Clause, awesome-whisper is CC0-1.0. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, telephony. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ### Choose awesome-whisper if… - License: awesome-whisper is CC0-1.0, dograh is BSD-2-Clause. - Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai. - When seeking curated information on Whisper variants optimized for various platforms and languages ## When NOT to use dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony support ## When NOT to use awesome-whisper - If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem - In cases where the focus is on using pre-integrated solutions without the need for model customization ## Common questions ### What is the difference between dograh and awesome-whisper? dograh: Self-hosted open source voice AI platform. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over awesome-whisper? Choose dograh over awesome-whisper when License: dograh is BSD-2-Clause, awesome-whisper is CC0-1.0; Tags unique to dograh: conversational-ai, local-llm, self-hosted, telephony; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### When should I choose awesome-whisper over dograh? Choose awesome-whisper over dograh when License: awesome-whisper is CC0-1.0, dograh is BSD-2-Clause; Tags unique to awesome-whisper: ai, artificial-intelligence, gpt, openai; When seeking curated information on Whisper variants optimized for various platforms and languages. ### When should I avoid dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support ### When should I avoid awesome-whisper? If looking for resources related to speech recognition systems from other providers not listed under OpenAI's Whisper ecosystem In cases where the focus is on using pre-integrated solutions without the need for model customization ### Is dograh or awesome-whisper more popular on GitHub? dograh has more GitHub stars (5,064 vs 2,361). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and awesome-whisper open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, awesome-whisper: CC0-1.0). ### Where can I find alternatives to dograh or awesome-whisper? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/alternatives.md), [awesome-whisper markdown twin](/tools/sindresorhus-awesome-whisper/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/dograh-hq-dograh-vs-sindresorhus-awesome-whisper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dograh or awesome-whisper? dograh: Very active. awesome-whisper: Slowing. 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 dograh and awesome-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dograh-hq-dograh`](/api/graphcanon/graph?tool=dograh-hq-dograh) - 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/_