--- title: "AudioGPT vs Amphion" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aigc-audio-audiogpt-vs-open-mmlab-amphion" tools: ["aigc-audio-audiogpt", "open-mmlab-amphion"] --- # AudioGPT vs Amphion *GraphCanon updated Jul 11, 2026* ## Verdict Pick AudioGPT when license: AudioGPT is Other, Amphion is MIT; pick Amphion when license: Amphion is MIT, AudioGPT is Other. [AudioGPT](https://huggingface.co/spaces/AIGC-Audio/AudioGPT) reports 10k GitHub stars, 853 forks, and 54 open issues, last pushed Jul 6, 2024. [Amphion](https://openhlt.github.io/amphion/) has 9.9k stars, 822 forks, and 175 open issues, last pushed Mar 25, 2026. Figures are from public GitHub metadata via [AudioGPT's repository](https://github.com/AIGC-Audio/AudioGPT) and [Amphion's repository](https://github.com/open-mmlab/Amphion). | | [AudioGPT](/tools/aigc-audio-audiogpt.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Tagline | AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head | Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, | | Stars | 10,169 | 9,927 | | Forks | 853 | 822 | | Open issues | 54 | 175 | | Language | Python | Python | | Adopt for | AudioGPT is a Python-based tool for generating and understanding various audio forms including speech, music, sound effects, and talking head animations using pre-trained models. | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | Speech & Audio | Inference & Serving, Speech & Audio, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AudioGPT](/tools/aigc-audio-audiogpt.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 734d | 107d | | Open issues (now) | 54 | 175 | | Security scan | 137 low (137 low) | No lockfile | | Full report | [trust report](/tools/aigc-audio-audiogpt/trust.md) | [trust report](/tools/open-mmlab-amphion/trust.md) | ## Decision facts: AudioGPT - **Adopt for:** AudioGPT is a Python-based tool for generating and understanding various audio forms including speech, music, sound effects, and talking head animations using pre-trained models. ## Choose when ### Choose AudioGPT if… - License: AudioGPT is Other, Amphion is MIT. - Tags unique to AudioGPT: talking-head, music, speech, audio. - - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech. ### Choose Amphion if… - License: Amphion is MIT, AudioGPT is Other. - Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia. - Also covers Inference & Serving, Computer Vision. - Amphion ships Docker support for self-hosted deployment. ## When NOT to use AudioGPT - - Avoid AudioGPT if your audio processing toolkit needs to be exclusively self-contained; some model references are external links requiring separate access. - - Do not use for projects that absolutely need completed features for all tasks as certain capabilities (speech translation) are still work-in-progress. ## When NOT to use Amphion - Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between AudioGPT and Amphion? AudioGPT: AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head. Amphion: Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, . See the comparison table for live GitHub stats and shared categories. ### When should I choose AudioGPT over Amphion? Choose AudioGPT over Amphion when License: AudioGPT is Other, Amphion is MIT; Tags unique to AudioGPT: talking-head, music, speech, audio; - Utilize AudioGPT when you need to generate speech or music with specific style transfer capabilities using GenerSpeech. ### When should I choose Amphion over AudioGPT? Choose Amphion over AudioGPT when License: Amphion is MIT, AudioGPT is Other; Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia; Also covers Inference & Serving, Computer Vision; Amphion ships Docker support for self-hosted deployment. ### When should I avoid AudioGPT? - Avoid AudioGPT if your audio processing toolkit needs to be exclusively self-contained; some model references are external links requiring separate access. - Do not use for projects that absolutely need completed features for all tasks as certain capabilities (speech translation) are still work-in-progress. ### When should I avoid Amphion? Last GitHub push was 108 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on Amphion. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is AudioGPT or Amphion more popular on GitHub? AudioGPT has more GitHub stars (10,169 vs 9,927). Stars measure visibility, not whether either tool fits your constraints. ### Are AudioGPT and Amphion open source? Yes - both are open-source projects on GitHub (AudioGPT: Other, Amphion: MIT). ### Where can I find alternatives to AudioGPT or Amphion? GraphCanon lists graph-backed alternatives at [AudioGPT alternatives](/tools/aigc-audio-audiogpt/alternatives) and [Amphion alternatives](/tools/open-mmlab-amphion/alternatives) ([AudioGPT markdown twin](/tools/aigc-audio-audiogpt/alternatives.md), [Amphion markdown twin](/tools/open-mmlab-amphion/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/aigc-audio-audiogpt-vs-open-mmlab-amphion.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AudioGPT or Amphion? AudioGPT: Dormant. Amphion: 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 AudioGPT and Amphion? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AudioGPT trust report](/tools/aigc-audio-audiogpt/trust); [Amphion trust report](/tools/open-mmlab-amphion/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aigc-audio-audiogpt`](/api/graphcanon/graph?tool=aigc-audio-audiogpt) - 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/_