Comparison
vall-e vs dc_tts
Verdict
Pick vall-e if vALL-E is an unofficial PyTorch implementation of a text-to-speech (TTS) audio language model, requiring specific installation dependencies and environments; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Markdown twin · vall-e alternatives · dc_tts alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | vall-e | dc_tts |
|---|---|---|
| Maintenance | Dormant (1229d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1254d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- vall-e
- An unofficial PyTorch implementation of the audio LM VALL-E
- dc_tts
- A TensorFlow Implementation of DC-TTS
Stars
- vall-e
- 3.0k
- dc_tts
- 1.2k
Forks
- vall-e
- 399
- dc_tts
- 360
Open issues
- vall-e
- 71
- dc_tts
- 68
Language
- vall-e
- Python
- dc_tts
- Python
Adopt for
- vall-e
- VALL-E is an unofficial PyTorch implementation of a text-to-speech (TTS) audio language model, requiring specific installation dependencies and environments.
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Persona
- vall-e
- -
- dc_tts
- -
Runtime
- vall-e
- -
- dc_tts
- -
License
- vall-e
- MIT
- dc_tts
- Apache-2.0
Last pushed
- vall-e
- May 10, 2023
- dc_tts
- Apr 14, 2023
Categories
- vall-e
- Model Training, Speech & Audio
- dc_tts
- Speech & Audio
Trust and health
Days since push
- vall-e
- 1229d
- dc_tts
- 1254d
Open issues (now)
- vall-e
- 71
- dc_tts
- 68
Stars delta
- vall-e
- -7 (30d)
- dc_tts
- +3 (30d)
Full report
- vall-e
- Trust report
- dc_tts
- Trust report
Choose vall-e if…
- License: vall-e is MIT, dc_tts is Apache-2.0.
- Tags unique to vall-e: audio-lm, pytorch, text-to-speech, vall-e.
- Also covers Model Training.
- - Use VALL-E if your development environment already includes DeepSpeed and you are committed to using PyTorch for audio processing tasks.
When NOT to use vall-e
- - Avoid VALL-E if your project does not align with the specific requirements, such as the exact version of Python (Python 3.10.7) it was tested on.
- - Do not use this tool if you lack a GPU that is compatible and tested by DeepSpeed or do not have access to CUDA or ROCm compilers.
Choose dc_tts if…
- License: dc_tts is Apache-2.0, vall-e is MIT.
- Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy..
- Tags unique to dc_tts: speech, speech-to-text, tensorflow.
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
When NOT to use dc_tts
- Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (enhuiz/vall-e) · observed Sep 20, 2026
- GitHub forks (enhuiz/vall-e) · observed Sep 20, 2026
- Last push (enhuiz/vall-e) · observed May 10, 2023
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Kyubyong/dc_tts) · observed Sep 20, 2026
- GitHub forks (Kyubyong/dc_tts) · observed Sep 20, 2026
- Last push (Kyubyong/dc_tts) · observed Apr 14, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: vall-e 3.0k · dc_tts 1.2k (synced Sep 20, 2026).
Common questions
- What is the difference between vall-e and dc_tts?
- vall-e: An unofficial PyTorch implementation of the audio LM VALL-E. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories.
- When should I choose vall-e over dc_tts?
- Choose vall-e over dc_tts when License: vall-e is MIT, dc_tts is Apache-2.0; Tags unique to vall-e: audio-lm, pytorch, text-to-speech, vall-e; Also covers Model Training; - Use VALL-E if your development environment already includes DeepSpeed and you are committed to using PyTorch for audio processing tasks.
- When should I choose dc_tts over vall-e?
- Choose dc_tts over vall-e when License: dc_tts is Apache-2.0, vall-e is MIT; Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for
tf.contrib.layers.layer_norm.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.; Tags unique to dc_tts: speech, speech-to-text, tensorflow; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. - When should I avoid vall-e?
- - Avoid VALL-E if your project does not align with the specific requirements, such as the exact version of Python (Python 3.10.7) it was tested on. - Do not use this tool if you lack a GPU that is compatible and tested by DeepSpeed or do not have access to CUDA or ROCm compilers.
- When should I avoid dc_tts?
- Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts.
- Is vall-e or dc_tts more popular on GitHub?
- vall-e has more GitHub stars (2,973 vs 1,159). Stars measure visibility, not whether either tool fits your constraints.
- Are vall-e and dc_tts open source?
- Yes - both are open-source projects on GitHub (vall-e: MIT, dc_tts: Apache-2.0).
- Where can I find alternatives to vall-e or dc_tts?
- GraphCanon lists graph-backed alternatives at vall-e alternatives and dc_tts alternatives (vall-e markdown twin, dc_tts 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, vall-e or dc_tts?
- vall-e: Dormant. dc_tts: 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 vall-e and dc_tts?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: vall-e trust report; dc_tts trust report.