Comparison
dc_tts vs pyttsx3
Verdict
Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick pyttsx3 if pyttsx3 is an offline text-to-speech library for Python applications that can convert written text into spoken words without internet access.
Markdown twin · dc_tts alternatives · pyttsx3 alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | dc_tts | pyttsx3 |
|---|---|---|
| Maintenance | Dormant (1254d since push) As of Sep 20, 2026 · github_public_v1 | Steady (60d 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
- dc_tts
- A TensorFlow Implementation of DC-TTS
- pyttsx3
- Offline Text To Speech synthesis for python
Stars
- dc_tts
- 1.2k
- pyttsx3
- 2.5k
Forks
- dc_tts
- 360
- pyttsx3
- 360
Open issues
- dc_tts
- 68
- pyttsx3
- 90
Language
- dc_tts
- Python
- pyttsx3
- Python
Adopt for
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
- pyttsx3
- pyttsx3 is an offline text-to-speech library for Python applications that can convert written text into spoken words without internet access.
Persona
- dc_tts
- -
- pyttsx3
- -
Runtime
- dc_tts
- -
- pyttsx3
- -
License
- dc_tts
- Apache-2.0
- pyttsx3
- Licensed under the Mozilla Public License (MPL-2.0), allowing for both free and proprietary software usage.
Last pushed
- dc_tts
- Apr 14, 2023
- pyttsx3
- Jul 22, 2026
Categories
- dc_tts
- Speech & Audio
- pyttsx3
- Speech & Audio
Trust and health
Maintenance
- dc_tts
- Dormant (18%)
- pyttsx3
- Steady (60%)
Days since push
- dc_tts
- 1254d
- pyttsx3
- 60d
Open issues (now)
- dc_tts
- 68
- pyttsx3
- 90
Stars delta
- dc_tts
- +3 (30d)
- pyttsx3
- +11 (30d)
Full report
- dc_tts
- Trust report
- pyttsx3
- Trust report
Choose dc_tts if…
- License: dc_tts is Apache-2.0, pyttsx3 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.
Choose pyttsx3 if…
- License: pyttsx3 is MPL-2.0, dc_tts is Apache-2.0.
- Requirements: Ensure that wheel is upgraded to avoid installation errors.; On macOS, install pyobjc version >=9.0.1 as a dependency..
- Tags unique to pyttsx3: offline-tts, python, speech-synthesis, text-to-speech.
- Use pyttsx3 when you need to implement speech functionality in a Python application and have limited or unreliable internet access, since it operates completely offline.
When NOT to use pyttsx3
- Avoid using pyttsx3 if you require a wide range of voice options or natural speech synthesis quality, as it relies on built-in operating system voices which may not meet all project requirements.
- Do not use pyttsx3 in projects where high-fidelity sound output is critical, such as professional audio applications, given its focus on ease of use rather than advanced speech functionality.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (nateshmbhat/pyttsx3) · observed Sep 20, 2026
- GitHub forks (nateshmbhat/pyttsx3) · observed Sep 20, 2026
- Last push (nateshmbhat/pyttsx3) · observed Jul 22, 2026
- 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 on cards: dc_tts 1.2k · pyttsx3 2.5k (synced Sep 20, 2026).
Common questions
- What is the difference between dc_tts and pyttsx3?
- dc_tts: A TensorFlow Implementation of DC-TTS. pyttsx3: Offline Text To Speech synthesis for python. See the comparison table for live GitHub stats and shared categories.
- When should I choose dc_tts over pyttsx3?
- Choose dc_tts over pyttsx3 when License: dc_tts is Apache-2.0, pyttsx3 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 choose pyttsx3 over dc_tts?
- Choose pyttsx3 over dc_tts when License: pyttsx3 is MPL-2.0, dc_tts is Apache-2.0; Requirements: Ensure that wheel is upgraded to avoid installation errors.; On macOS, install pyobjc version >=9.0.1 as a dependency.; Tags unique to pyttsx3: offline-tts, python, speech-synthesis, text-to-speech; Use pyttsx3 when you need to implement speech functionality in a Python application and have limited or unreliable internet access, since it operates completely offline.
- 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.
- When should I avoid pyttsx3?
- Avoid using pyttsx3 if you require a wide range of voice options or natural speech synthesis quality, as it relies on built-in operating system voices which may not meet all project requirements. Do not use pyttsx3 in projects where high-fidelity sound output is critical, such as professional audio applications, given its focus on ease of use rather than advanced speech functionality.
- Is dc_tts or pyttsx3 more popular on GitHub?
- pyttsx3 has more GitHub stars (2,534 vs 1,159). Stars measure visibility, not whether either tool fits your constraints.
- Are dc_tts and pyttsx3 open source?
- Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, pyttsx3: MPL-2.0).
- Where can I find alternatives to dc_tts or pyttsx3?
- GraphCanon lists graph-backed alternatives at dc_tts alternatives and pyttsx3 alternatives (dc_tts markdown twin, pyttsx3 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, dc_tts or pyttsx3?
- dc_tts: Dormant. pyttsx3: Steady. 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 dc_tts and pyttsx3?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; pyttsx3 trust report.