--- title: "Amphion vs PPASR" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/open-mmlab-amphion-vs-yeyupiaoling-ppasr" tools: ["open-mmlab-amphion", "yeyupiaoling-ppasr"] --- # Amphion vs PPASR *GraphCanon updated Jul 11, 2026* ## Verdict Pick Amphion when license: Amphion is MIT, PPASR is Apache-2.0; pick PPASR when license: PPASR is Apache-2.0, Amphion is MIT. [Amphion](https://openhlt.github.io/amphion/) reports 9.9k GitHub stars, 822 forks, and 175 open issues, last pushed Mar 25, 2026. [PPASR](https://github.com/yeyupiaoling/PPASR) has 873 stars, 129 forks, and 1 open issues, last pushed Dec 17, 2025. Figures are from public GitHub metadata via [Amphion's repository](https://github.com/open-mmlab/Amphion) and [PPASR's repository](https://github.com/yeyupiaoling/PPASR). | | [Amphion](/tools/open-mmlab-amphion.md) | [PPASR](/tools/yeyupiaoling-ppasr.md) | | --- | --- | --- | | Tagline | 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, | 基于PaddlePaddle实现端到端中文语音识别，从入门到实战，超简单的入门案例，超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型 | | Stars | 9,927 | 873 | | Forks | 822 | 129 | | Open issues | 175 | 1 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, Speech & Audio, Computer Vision | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Amphion](/tools/open-mmlab-amphion.md) | [PPASR](/tools/yeyupiaoling-ppasr.md) | | --- | --- | --- | | Days since push | 107d | 205d | | Open issues (now) | 175 | 1 | | Owner type | Organization | User | | Security scan | No lockfile | 6 low (6 low) | | Full report | [trust report](/tools/open-mmlab-amphion/trust.md) | [trust report](/tools/yeyupiaoling-ppasr/trust.md) | ## Shared compatibility - **Python**: [Amphion](/tools/open-mmlab-amphion.md) - Python runtime; [PPASR](/tools/yeyupiaoling-ppasr.md) - Python runtime ## Choose when ### Choose Amphion if… - License: Amphion is MIT, PPASR is Apache-2.0. - Tags unique to Amphion: audioldm, audio-synthesis, audio-generation, emilia. - Also covers Inference & Serving, Computer Vision. - Amphion ships Docker support for self-hosted deployment. ### Choose PPASR if… - License: PPASR is Apache-2.0, Amphion is MIT. - Tags unique to PPASR: deep-learning, asr, chinese, speech. - Leaner open-issue backlog (1). ## 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. ## When NOT to use PPASR - Last GitHub push was 206 days ago (slowing maintenance, Dec 17, 2025). Validate activity before betting a new project on PPASR. ## Common questions ### What is the difference between Amphion and PPASR? 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, . PPASR: 基于PaddlePaddle实现端到端中文语音识别，从入门到实战，超简单的入门案例，超实用的企业项目。支持当前最流行的DeepSpeech2、Conformer、Squeezeformer模型. See the comparison table for live GitHub stats and shared categories. ### When should I choose Amphion over PPASR? Choose Amphion over PPASR when License: Amphion is MIT, PPASR is Apache-2.0; 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 choose PPASR over Amphion? Choose PPASR over Amphion when License: PPASR is Apache-2.0, Amphion is MIT; Tags unique to PPASR: deep-learning, asr, chinese, speech; Leaner open-issue backlog (1). ### 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. ### When should I avoid PPASR? Last GitHub push was 206 days ago (slowing maintenance, Dec 17, 2025). Validate activity before betting a new project on PPASR. ### Is Amphion or PPASR more popular on GitHub? Amphion has more GitHub stars (9,927 vs 873). Stars measure visibility, not whether either tool fits your constraints. ### Are Amphion and PPASR open source? Yes - both are open-source projects on GitHub (Amphion: MIT, PPASR: Apache-2.0). ### Where can I find alternatives to Amphion or PPASR? GraphCanon lists graph-backed alternatives at [Amphion alternatives](/tools/open-mmlab-amphion/alternatives) and [PPASR alternatives](/tools/yeyupiaoling-ppasr/alternatives) ([Amphion markdown twin](/tools/open-mmlab-amphion/alternatives.md), [PPASR markdown twin](/tools/yeyupiaoling-ppasr/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/open-mmlab-amphion-vs-yeyupiaoling-ppasr.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Amphion or PPASR? Amphion: Slowing. PPASR: 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 Amphion and PPASR? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Amphion trust report](/tools/open-mmlab-amphion/trust); [PPASR trust report](/tools/yeyupiaoling-ppasr/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=open-mmlab-amphion`](/api/graphcanon/graph?tool=open-mmlab-amphion) - 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/_