Comparison
Amphion vs bark
Verdict
Pick Amphion if amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use; pick bark if bark is recognized for its text-to-speech conversion capabilities, operating both on CPUs and GPUs with varying speeds based on hardware specifications.
Markdown twin · Amphion alternatives · bark alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | Amphion | bark |
|---|---|---|
| Maintenance | Slowing (125d since push) As of 3w · github_public_v1 | Dormant (712d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Amphion
- A toolkit for Audio, Music, and Speech Generation to support reproducible research
- bark
- Text-Prompted Generative Audio Model
Stars
- Amphion
- 10.0k
- bark
- 39k
Forks
- Amphion
- 830
- bark
- 4.7k
Open issues
- Amphion
- 175
- bark
- 268
Language
- Amphion
- Python
- bark
- Jupyter Notebook
Adopt for
- Amphion
- Amphion offers support for reproducible research in audio, music, and speech generation through Python dependencies and Docker images that junior researchers and engineers can readily use.
- bark
- Bark is recognized for its text-to-speech conversion capabilities, operating both on CPUs and GPUs with varying speeds based on hardware specifications.
Persona
- Amphion
- -
- bark
- -
Runtime
- Amphion
- -
- bark
- -
License
- Amphion
- MIT
- bark
- Bark operates under the MIT License, granting permissive rights for both modified and unmodified copies of its software without warranting it against infringement.
Last pushed
- Amphion
- Mar 25, 2026
- bark
- Aug 19, 2024
Categories
- Amphion
- Speech & Audio
- bark
- Speech & Audio
Trust and health
Maintenance
- Amphion
- Slowing (36%)
- bark
- Dormant (18%)
Days since push
- Amphion
- 125d
- bark
- 712d
Open issues (now)
- Amphion
- 175
- bark
- 268
Full report
- Amphion
- Trust report
- bark
- Trust report
Shared compatibility
- Python · Amphion: Python runtime · bark: Python runtime
Choose Amphion if…
- Amphion is primarily Python; bark is Jupyter Notebook.
- Tags unique to Amphion: music-generation, singing-voice-conversion, text-to-audio, vocoder.
- Amphion ships Docker support for self-hosted deployment.
- When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images.
When NOT to use Amphion
- If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration.
Choose bark if…
- bark is primarily Jupyter Notebook; Amphion is Python.
- Pricing: Bark is open-source and free to use with options for early access to larger models through a sign-up process at Suno AI's designated webpage..
- Requirements: Execution on CPUs or older GPUs may result in significantly slower inference times.; For limited hardware, set the environment flag `SUNO_USE_SMALL_MODELS=True` to ensure compatibility with 8GB VRAM..
- When you need to convert text into speech in real-time using PyTorch 2.0+ and enterprise-level GPUs.
When NOT to use bark
- Avoid if your hardware configuration lacks at least 12GB of VRAM, as this is required to operate Bark's full version model efficiently on GPU.
- If real-time audio generation is not feasible due to limited hardware like older GPUs or CPUs, consider other TTS models with a smaller footprint.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (open-mmlab/Amphion) · observed Jul 29, 2026
- GitHub forks (open-mmlab/Amphion) · observed Jul 29, 2026
- Last push (open-mmlab/Amphion) · observed Mar 25, 2026
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (suno-ai/bark) · observed Aug 2, 2026
- GitHub forks (suno-ai/bark) · observed Aug 2, 2026
- Last push (suno-ai/bark) · observed Aug 19, 2024
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Amphion 10.0k · bark 39k (synced Jul 29, 2026).
Common questions
- What is the difference between Amphion and bark?
- Amphion: A toolkit for Audio, Music, and Speech Generation to support reproducible research. bark: Text-Prompted Generative Audio Model. See the comparison table for live GitHub stats and shared categories.
- When should I choose Amphion over bark?
- Choose Amphion over bark when Amphion is primarily Python; bark is Jupyter Notebook; Tags unique to Amphion: music-generation, singing-voice-conversion, text-to-audio, vocoder; Amphion ships Docker support for self-hosted deployment; When you are new to the field of audio, music, or speech generation and seeking a toolkit that simplifies setup with Python dependencies and Docker images.
- When should I choose bark over Amphion?
- Choose bark over Amphion when bark is primarily Jupyter Notebook; Amphion is Python; Pricing: Bark is open-source and free to use with options for early access to larger models through a sign-up process at Suno AI's designated webpage.; Requirements: Execution on CPUs or older GPUs may result in significantly slower inference times.; For limited hardware, set the environment flag
SUNO_USE_SMALL_MODELS=Trueto ensure compatibility with 8GB VRAM.; When you need to convert text into speech in real-time using PyTorch 2.0+ and enterprise-level GPUs. - When should I avoid Amphion?
- If you require advanced customization beyond what the provided Python packages offer, since Amphion caters more to getting started quickly without deep configuration.
- When should I avoid bark?
- Avoid if your hardware configuration lacks at least 12GB of VRAM, as this is required to operate Bark's full version model efficiently on GPU. If real-time audio generation is not feasible due to limited hardware like older GPUs or CPUs, consider other TTS models with a smaller footprint.
- Is Amphion or bark more popular on GitHub?
- bark has more GitHub stars (39,218 vs 9,973). Stars measure visibility, not whether either tool fits your constraints.
- Are Amphion and bark open source?
- Yes - both are open-source projects on GitHub (Amphion: MIT, bark: MIT).
- Where can I find alternatives to Amphion or bark?
- GraphCanon lists graph-backed alternatives at Amphion alternatives and bark alternatives (Amphion markdown twin, bark markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Amphion or bark?
- Amphion: Slowing. bark: Dormant. 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 bark?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Amphion trust report; bark trust report.