--- title: "ergo vs Amphion" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ergo-services-ergo-vs-open-mmlab-amphion" tools: ["ergo-services-ergo", "open-mmlab-amphion"] --- # ergo vs Amphion *GraphCanon updated Jul 15, 2026* ## Verdict Pick ergo when ergo is primarily Go; Amphion is Python; pick Amphion when amphion is primarily Python; ergo is Go. [ergo](https://ergo.services) reports 4.6k GitHub stars, 182 forks, and 6 open issues, last pushed Jul 7, 2026. [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 [ergo's repository](https://github.com/ergo-services/ergo) and [Amphion's repository](https://github.com/open-mmlab/Amphion). | | [ergo](/tools/ergo-services-ergo.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Tagline | An actor-based Framework with network transparency for creating event-driven architecture in Golang. Inspired by Erlang. Zero dependencies. | 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 | 4,614 | 9,927 | | Forks | 182 | 822 | | Open issues | 6 | 175 | | Language | Go | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision | Computer Vision, Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ergo](/tools/ergo-services-ergo.md) | [Amphion](/tools/open-mmlab-amphion.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 7d | 107d | | Open issues (now) | 6 | 175 | | Full report | [trust report](/tools/ergo-services-ergo/trust.md) | [trust report](/tools/open-mmlab-amphion/trust.md) | ## Choose when ### Choose ergo if… - ergo is primarily Go; Amphion is Python. - Tags unique to ergo: actor-model, actors, distributed, distributed-systems. - More recently updated (last pushed Jul 7, 2026). ### Choose Amphion if… - Amphion is primarily Python; ergo is Go. - Tags unique to Amphion: audio generation, audio-synthesis, audioldm, audit. - Also covers Inference & Serving, Speech & Audio. - Amphion ships Docker support for self-hosted deployment. ## When NOT to use Amphion - Last GitHub push was 112 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 ergo and Amphion? ergo: An actor-based Framework with network transparency for creating event-driven architecture in Golang. Inspired by Erlang. Zero dependencies.. 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 ergo over Amphion? Choose ergo over Amphion when ergo is primarily Go; Amphion is Python; Tags unique to ergo: actor-model, actors, distributed, distributed-systems; More recently updated (last pushed Jul 7, 2026). ### When should I choose Amphion over ergo? Choose Amphion over ergo when Amphion is primarily Python; ergo is Go; Tags unique to Amphion: audio generation, audio-synthesis, audioldm, audit; Also covers Inference & Serving, Speech & Audio; Amphion ships Docker support for self-hosted deployment. ### When should I avoid Amphion? Last GitHub push was 112 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 ergo or Amphion more popular on GitHub? Amphion has more GitHub stars (9,927 vs 4,614). Stars measure visibility, not whether either tool fits your constraints. ### Are ergo and Amphion open source? Yes - both are open-source projects on GitHub (ergo: MIT, Amphion: MIT). ### Where can I find alternatives to ergo or Amphion? GraphCanon lists graph-backed alternatives at [ergo alternatives](/tools/ergo-services-ergo/alternatives) and [Amphion alternatives](/tools/open-mmlab-amphion/alternatives) ([ergo markdown twin](/tools/ergo-services-ergo/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/ergo-services-ergo-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, ergo or Amphion? ergo: Active. 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 ergo and Amphion? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ergo trust report](/tools/ergo-services-ergo/trust); [Amphion trust report](/tools/open-mmlab-amphion/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ergo-services-ergo`](/api/graphcanon/graph?tool=ergo-services-ergo) - 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/_