Comparison
dc_tts vs whisper-diarization
Verdict
Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick whisper-diarization if automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects.
Markdown twin · dc_tts alternatives · whisper-diarization alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | dc_tts | whisper-diarization |
|---|---|---|
| Maintenance | Dormant (1203d since push) As of 2w · github_public_v1 | Slowing (156d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- dc_tts
- A TensorFlow Implementation of DC-TTS
- whisper-diarization
- Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Stars
- dc_tts
- 1.2k
- whisper-diarization
- 5.6k
Forks
- dc_tts
- 360
- whisper-diarization
- 503
Open issues
- dc_tts
- 68
- whisper-diarization
- 41
Language
- dc_tts
- Python
- whisper-diarization
- Jupyter Notebook
Adopt for
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
- whisper-diarization
- Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper for Python projects
Persona
- dc_tts
- -
- whisper-diarization
- -
Runtime
- dc_tts
- -
- whisper-diarization
- -
License
- dc_tts
- Apache-2.0
- whisper-diarization
- BSD-2-Clause
Last pushed
- dc_tts
- Apr 14, 2023
- whisper-diarization
- Feb 23, 2026
Categories
- dc_tts
- Speech & Audio
- whisper-diarization
- Developer Tools, Speech & Audio
Trust and health
Maintenance
- dc_tts
- Dormant (18%)
- whisper-diarization
- Slowing (36%)
Days since push
- dc_tts
- 1203d
- whisper-diarization
- 156d
Open issues (now)
- dc_tts
- 68
- whisper-diarization
- 41
OSV dependency advisories
- dc_tts
- No lockfile (source not queried)
- whisper-diarization
- No published findings from this source as of 2026-07-11
Full report
- dc_tts
- Trust report
- whisper-diarization
- Trust report
Choose dc_tts if…
- dc_tts is primarily Python; whisper-diarization is Jupyter Notebook.
- License: dc_tts is Apache-2.0, whisper-diarization is BSD-2-Clause.
- 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 1222 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
Choose whisper-diarization if…
- whisper-diarization is primarily Jupyter Notebook; dc_tts is Python.
- License: whisper-diarization is BSD-2-Clause, dc_tts is Apache-2.0.
- Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper.
- Also covers Developer Tools.
- You need advanced speech recognition capabilities paired with speaker diarization in your Python project.
When NOT to use whisper-diarization
- If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license.
- Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights.
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 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 (MahmoudAshraf97/whisper-diarization) · observed Jul 30, 2026
- GitHub forks (MahmoudAshraf97/whisper-diarization) · observed Jul 30, 2026
- Last push (MahmoudAshraf97/whisper-diarization) · observed Feb 23, 2026
- License file (BSD-2-Clause) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dc_tts 1.2k · whisper-diarization 5.6k (synced Jul 30, 2026).
Common questions
- What is the difference between dc_tts and whisper-diarization?
- dc_tts: A TensorFlow Implementation of DC-TTS. whisper-diarization: Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper. See the comparison table for live GitHub stats and shared categories.
- When should I choose dc_tts over whisper-diarization?
- Choose dc_tts over whisper-diarization when dc_tts is primarily Python; whisper-diarization is Jupyter Notebook; License: dc_tts is Apache-2.0, whisper-diarization is BSD-2-Clause; 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 whisper-diarization over dc_tts?
- Choose whisper-diarization over dc_tts when whisper-diarization is primarily Jupyter Notebook; dc_tts is Python; License: whisper-diarization is BSD-2-Clause, dc_tts is Apache-2.0; Tags unique to whisper-diarization: asr, speaker-diarization, speech-recognition, whisper; Also covers Developer Tools; You need advanced speech recognition capabilities paired with speaker diarization in your Python project.
- When should I avoid dc_tts?
- Last GitHub push was 1222 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
- When should I avoid whisper-diarization?
- If your project is restricted to use only open-source tools under the MIT license, as whisper-diarization uses the BSD-2-Clause license. Your environment cannot support Python 3.10 or later or you lack prerequisites such as Cython and FFMPEG installation rights.
- Is dc_tts or whisper-diarization more popular on GitHub?
- whisper-diarization has more GitHub stars (5,615 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
- Are dc_tts and whisper-diarization open source?
- Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, whisper-diarization: BSD-2-Clause).
- Where can I find alternatives to dc_tts or whisper-diarization?
- GraphCanon lists graph-backed alternatives at dc_tts alternatives and whisper-diarization alternatives (dc_tts markdown twin, whisper-diarization 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 whisper-diarization?
- dc_tts: Dormant. whisper-diarization: Slowing. 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 whisper-diarization?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; whisper-diarization trust report.