Comparison
MARS5-TTS vs dc_tts
Verdict
Pick MARS5-TTS if mARS5-TTS by CAMB.AI features advanced capabilities in text-to-speech synthesis with an emphasis on voice cloning and prosody control; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Markdown twin · MARS5-TTS alternatives · dc_tts alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | MARS5-TTS | dc_tts |
|---|---|---|
| Maintenance | Dormant (727d since push) As of 4w · github_public_v1 | Dormant (1203d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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
- MARS5-TTS
- MARS5 speech model TTS from CAMB.AI
- dc_tts
- A TensorFlow Implementation of DC-TTS
Stars
- MARS5-TTS
- 2.8k
- dc_tts
- 1.2k
Forks
- MARS5-TTS
- 245
- dc_tts
- 360
Open issues
- MARS5-TTS
- 11
- dc_tts
- 68
Language
- MARS5-TTS
- Jupyter Notebook
- dc_tts
- Python
Adopt for
- MARS5-TTS
- MARS5-TTS by CAMB.AI features advanced capabilities in text-to-speech synthesis with an emphasis on voice cloning and prosody control.
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Persona
- MARS5-TTS
- -
- dc_tts
- -
Runtime
- MARS5-TTS
- -
- dc_tts
- -
License
- MARS5-TTS
- The tool is licensed under AGPL-3.0, an open-source license that requires any modifications or derivatives to also be shared under the same terms.
- dc_tts
- Apache-2.0
Last pushed
- MARS5-TTS
- Aug 1, 2024
- dc_tts
- Apr 14, 2023
Categories
- MARS5-TTS
- Speech & Audio
- dc_tts
- Speech & Audio
Trust and health
Days since push
- MARS5-TTS
- 727d
- dc_tts
- 1203d
Open issues (now)
- MARS5-TTS
- 11
- dc_tts
- 68
Owner type
- MARS5-TTS
- Organization
- dc_tts
- User
OSV dependency advisories
- MARS5-TTS
- No published findings from this source as of 2026-07-11
- dc_tts
- No lockfile (source not queried)
Full report
- MARS5-TTS
- Trust report
- dc_tts
- Trust report
Choose MARS5-TTS if…
- MARS5-TTS is primarily Jupyter Notebook; dc_tts is Python.
- License: MARS5-TTS is AGPL-3.0, dc_tts is Apache-2.0.
- Pricing: Open-source version is free for non-commercial use; commercial licenses are available upon request by contacting help@camb.ai..
- Requirements: Supports custom development through Docker, allowing you to build a base image and extend with your own inference scripts.; Docker integration provides flexibility but requires users to have the necessary environment setup for usage..
- Tags unique to MARS5-TTS: docker-support, jupyter-notebook, prosody, speech-synthesis.
- When you have projects requiring nuanced prosody control for more natural sounding synthesized speech, as MARS5-TTS is specifically highlighted for its prosodic synthesis abilities.
When NOT to use MARS5-TTS
- When you require immediate access to pre-built output-generating Docker images, since as of now these are not yet available despite plans for their future addition.
- If your project needs a model that does not involve the GNU AGPL-3.0 license, because this might impose restrictions on how derivative works can be distributed.
Choose dc_tts if…
- dc_tts is primarily Python; MARS5-TTS is Jupyter Notebook.
- License: dc_tts is Apache-2.0, MARS5-TTS is AGPL-3.0.
- 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, tts.
- 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 1230 days ago (dormant maintenance, Apr 14, 2023). 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 (Camb-ai/MARS5-TTS) · observed Jul 29, 2026
- GitHub forks (Camb-ai/MARS5-TTS) · observed Jul 29, 2026
- Last push (Camb-ai/MARS5-TTS) · observed Aug 1, 2024
- License file (AGPL-3.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Kyubyong/dc_tts) · observed Jul 30, 2026
- GitHub forks (Kyubyong/dc_tts) · observed Jul 30, 2026
- Last push (Kyubyong/dc_tts) · observed Apr 14, 2023
- License file (Apache-2.0) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: MARS5-TTS 2.8k · dc_tts 1.2k (synced Jul 29, 2026).
Common questions
- What is the difference between MARS5-TTS and dc_tts?
- MARS5-TTS: MARS5 speech model TTS from CAMB.AI. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories.
- When should I choose MARS5-TTS over dc_tts?
- Choose MARS5-TTS over dc_tts when MARS5-TTS is primarily Jupyter Notebook; dc_tts is Python; License: MARS5-TTS is AGPL-3.0, dc_tts is Apache-2.0; Pricing: Open-source version is free for non-commercial use; commercial licenses are available upon request by contacting help@camb.ai.; Requirements: Supports custom development through Docker, allowing you to build a base image and extend with your own inference scripts.; Docker integration provides flexibility but requires users to have the necessary environment setup for usage.; Tags unique to MARS5-TTS: docker-support, jupyter-notebook, prosody, speech-synthesis; When you have projects requiring nuanced prosody control for more natural sounding synthesized speech, as MARS5-TTS is specifically highlighted for its prosodic synthesis abilities.
- When should I choose dc_tts over MARS5-TTS?
- Choose dc_tts over MARS5-TTS when dc_tts is primarily Python; MARS5-TTS is Jupyter Notebook; License: dc_tts is Apache-2.0, MARS5-TTS is AGPL-3.0; 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, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. - When should I avoid MARS5-TTS?
- When you require immediate access to pre-built output-generating Docker images, since as of now these are not yet available despite plans for their future addition. If your project needs a model that does not involve the GNU AGPL-3.0 license, because this might impose restrictions on how derivative works can be distributed.
- When should I avoid dc_tts?
- Last GitHub push was 1230 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
- Is MARS5-TTS or dc_tts more popular on GitHub?
- MARS5-TTS has more GitHub stars (2,816 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
- Are MARS5-TTS and dc_tts open source?
- Yes - both are open-source projects on GitHub (MARS5-TTS: AGPL-3.0, dc_tts: Apache-2.0).
- Where can I find alternatives to MARS5-TTS or dc_tts?
- GraphCanon lists graph-backed alternatives at MARS5-TTS alternatives and dc_tts alternatives (MARS5-TTS 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, MARS5-TTS or dc_tts?
- MARS5-TTS: 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 MARS5-TTS and dc_tts?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MARS5-TTS trust report; dc_tts trust report.