Comparison
TTS vs dc_tts
Verdict
Pick TTS if 🐸TTS is a Python-based deep learning toolkit for developing text-to-speech systems featuring models like Tacotron and Vocoder for training; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Markdown twin · TTS alternatives · dc_tts alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | TTS | dc_tts |
|---|---|---|
| Maintenance | Dormant (764d 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 · Organization 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 | Published findings 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
- TTS
- 🐸💬 - a deep learning toolkit for Text-to-Speech
- dc_tts
- A TensorFlow Implementation of DC-TTS
Stars
- TTS
- 46k
- dc_tts
- 1.2k
Forks
- TTS
- 6.2k
- dc_tts
- 360
Open issues
- TTS
- 3
- dc_tts
- 68
Language
- TTS
- Python
- dc_tts
- Python
Adopt for
- TTS
- 🐸TTS is a Python-based deep learning toolkit for developing text-to-speech systems featuring models like Tacotron and Vocoder for training.
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Persona
- TTS
- -
- dc_tts
- -
Runtime
- TTS
- -
- dc_tts
- -
License
- TTS
- MPL-2.0
- dc_tts
- Apache-2.0
Last pushed
- TTS
- Aug 16, 2024
- dc_tts
- Apr 14, 2023
Categories
- TTS
- Model Training, Speech & Audio
- dc_tts
- Speech & Audio
Trust and health
Days since push
- TTS
- 764d
- dc_tts
- 1254d
Open issues (now)
- TTS
- 3
- dc_tts
- 68
Stars delta
- TTS
- +197 (30d)
- dc_tts
- +3 (30d)
Open issues delta
- TTS
- -1 (30d)
- dc_tts
- 0 (30d)
Owner type
- TTS
- Organization
- dc_tts
- User
OSV dependency advisories
- TTS
- Published findings
- dc_tts
- No lockfile (source not queried)
Full report
- TTS
- Trust report
- dc_tts
- Trust report
Choose TTS if…
- License: TTS is MPL-2.0, dc_tts is Apache-2.0.
- Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan.
- Also covers Model Training.
- TTS ships Docker support for self-hosted deployment.
- If you are working on research projects that require advanced models such as Glow-TTS, HifiGAN, or MelGAN for high-quality speech synthesis
When NOT to use TTS
- If your project strictly requires a lightweight installation without the overhead of extra dependencies included when installing 🐸TTS from source for development purposes
- In cases where you are restricted to older Python versions less than 3.9, as 🐸TTS is tested on systems with python >= 3.9 but < 3.12
Choose dc_tts if…
- License: dc_tts is Apache-2.0, TTS is MPL-2.0.
- 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 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 (coqui-ai/TTS) · observed Sep 20, 2026
- GitHub forks (coqui-ai/TTS) · observed Sep 20, 2026
- Last push (coqui-ai/TTS) · observed Aug 16, 2024
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 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: TTS 46k · dc_tts 1.2k (synced Sep 20, 2026).
Common questions
- What is the difference between TTS and dc_tts?
- TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories.
- When should I choose TTS over dc_tts?
- Choose TTS over dc_tts when License: TTS is MPL-2.0, dc_tts is Apache-2.0; Tags unique to TTS: deep-learning, glow-tts, hifigan, melgan; Also covers Model Training; TTS ships Docker support for self-hosted deployment; If you are working on research projects that require advanced models such as Glow-TTS, HifiGAN, or MelGAN for high-quality speech synthesis.
- When should I choose dc_tts over TTS?
- Choose dc_tts over TTS when License: dc_tts is Apache-2.0, TTS is MPL-2.0; 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 TTS?
- If your project strictly requires a lightweight installation without the overhead of extra dependencies included when installing 🐸TTS from source for development purposes In cases where you are restricted to older Python versions less than 3.9, as 🐸TTS is tested on systems with python >= 3.9 but < 3.12
- 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 TTS or dc_tts more popular on GitHub?
- TTS has more GitHub stars (46,029 vs 1,159). Stars measure visibility, not whether either tool fits your constraints.
- Are TTS and dc_tts open source?
- Yes - both are open-source projects on GitHub (TTS: MPL-2.0, dc_tts: Apache-2.0).
- Where can I find alternatives to TTS or dc_tts?
- GraphCanon lists graph-backed alternatives at TTS alternatives and dc_tts alternatives (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, TTS or dc_tts?
- 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 TTS and dc_tts?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; dc_tts trust report.