--- title: "SenseVoice vs awesome-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/funaudiollm-sensevoice-vs-sindresorhus-awesome-whisper" tools: ["funaudiollm-sensevoice", "sindresorhus-awesome-whisper"] --- # SenseVoice vs awesome-whisper *GraphCanon updated Jul 30, 2026* ## Verdict Pick SenseVoice if senseVoice is ideal for applications needing fast multilingual ASR with emotion recognition and audio event detection in over 50 languages; 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. [SenseVoice](https://huggingface.co/spaces/FunAudioLLM/SenseVoice) reports 9.0k GitHub stars, 799 forks, and 0 open issues, last pushed Jul 27, 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 [SenseVoice's repository](https://github.com/FunAudioLLM/SenseVoice) and [awesome-whisper's repository](https://github.com/sindresorhus/awesome-whisper). | | [SenseVoice](/tools/funaudiollm-sensevoice.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Tagline | Multilingual speech understanding toolkit with ASR, emotion recognition, and audio event detection. | Curated resources for Whisper speech recognition system | | Stars | 8,961 | 2,361 | | Forks | 799 | 156 | | Open issues | 0 | 7 | | Language | C | - | | Adopt for | SenseVoice is ideal for applications needing fast multilingual ASR with emotion recognition and audio event detection in over 50 languages. | 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 | Other | CC0-1.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [SenseVoice](/tools/funaudiollm-sensevoice.md) | [awesome-whisper](/tools/sindresorhus-awesome-whisper.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 134d | | Open issues (now) | 0 | 7 | | Owner type | Organization | User | | Full report | [trust report](/tools/funaudiollm-sensevoice/trust.md) | [trust report](/tools/sindresorhus-awesome-whisper/trust.md) | ## Decision facts: SenseVoice - **Adopt for:** SenseVoice is ideal for applications needing fast multilingual ASR with emotion recognition and audio event detection in over 50 languages. ## 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 SenseVoice if… - License: SenseVoice is Other, awesome-whisper is CC0-1.0. - Tags unique to SenseVoice: asr, audio-analysis, audio-event-detection, cantonese. - SenseVoice ships Docker support for self-hosted deployment. - Projects requiring speed, with non-autoregressive models being up to 15 times faster than Whisper ### Choose awesome-whisper if… - License: awesome-whisper is CC0-1.0, SenseVoice is Other. - 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 SenseVoice - Applications needing Python-based implementation since SenseVoice relies on C and PyTorch for its framework - Scenarios demanding the lowest level of inference latency as it may have higher overhead compared to simpler models ## 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 SenseVoice and awesome-whisper? SenseVoice: Multilingual speech understanding toolkit with ASR, emotion recognition, and audio event detection.. awesome-whisper: Curated resources for Whisper speech recognition system. See the comparison table for live GitHub stats and shared categories. ### When should I choose SenseVoice over awesome-whisper? Choose SenseVoice over awesome-whisper when License: SenseVoice is Other, awesome-whisper is CC0-1.0; Tags unique to SenseVoice: asr, audio-analysis, audio-event-detection, cantonese; SenseVoice ships Docker support for self-hosted deployment; Projects requiring speed, with non-autoregressive models being up to 15 times faster than Whisper. ### When should I choose awesome-whisper over SenseVoice? Choose awesome-whisper over SenseVoice when License: awesome-whisper is CC0-1.0, SenseVoice is Other; 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 SenseVoice? Applications needing Python-based implementation since SenseVoice relies on C and PyTorch for its framework Scenarios demanding the lowest level of inference latency as it may have higher overhead compared to simpler models ### 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 SenseVoice or awesome-whisper more popular on GitHub? SenseVoice has more GitHub stars (8,961 vs 2,361). Stars measure visibility, not whether either tool fits your constraints. ### Are SenseVoice and awesome-whisper open source? Yes - both are open-source projects on GitHub (SenseVoice: Other, awesome-whisper: CC0-1.0). ### Where can I find alternatives to SenseVoice or awesome-whisper? GraphCanon lists graph-backed alternatives at [SenseVoice alternatives](/tools/funaudiollm-sensevoice/alternatives) and [awesome-whisper alternatives](/tools/sindresorhus-awesome-whisper/alternatives) ([SenseVoice markdown twin](/tools/funaudiollm-sensevoice/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/funaudiollm-sensevoice-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, SenseVoice or awesome-whisper? SenseVoice: 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 SenseVoice and awesome-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [SenseVoice trust report](/tools/funaudiollm-sensevoice/trust); [awesome-whisper trust report](/tools/sindresorhus-awesome-whisper/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=funaudiollm-sensevoice`](/api/graphcanon/graph?tool=funaudiollm-sensevoice) - 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/_