Comparison
dc_tts vs Kokoro-FastAPI
Verdict
Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick Kokoro-FastAPI if kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types.
Markdown twin · dc_tts alternatives · Kokoro-FastAPI alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | dc_tts | Kokoro-FastAPI |
|---|---|---|
| Maintenance | Dormant (1203d since push) As of 3w · github_public_v1 | Active (8d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Personal account As of 3w · 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
- Kokoro-FastAPI
- Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model
Stars
- dc_tts
- 1.2k
- Kokoro-FastAPI
- 5.3k
Forks
- dc_tts
- 360
- Kokoro-FastAPI
- 858
Open issues
- dc_tts
- 68
- Kokoro-FastAPI
- 109
Language
- dc_tts
- Python
- Kokoro-FastAPI
- Python
Adopt for
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
- Kokoro-FastAPI
- Kokoro-FastAPI is a Dockerized wrapper for the Kokoro-82M text-to-speech model using FastAPI. It supports multi-language capability and provides prebuilt images for various hardware types.
Persona
- dc_tts
- -
- Kokoro-FastAPI
- -
Runtime
- dc_tts
- -
- Kokoro-FastAPI
- -
License
- dc_tts
- Apache-2.0
- Kokoro-FastAPI
- Apache-2.0
Last pushed
- dc_tts
- Apr 14, 2023
- Kokoro-FastAPI
- Jul 21, 2026
Categories
- dc_tts
- Speech & Audio
- Kokoro-FastAPI
- Speech & Audio
Trust and health
Maintenance
- dc_tts
- Dormant (18%)
- Kokoro-FastAPI
- Active (82%)
Days since push
- dc_tts
- 1203d
- Kokoro-FastAPI
- 8d
Open issues (now)
- dc_tts
- 68
- Kokoro-FastAPI
- 109
OSV dependency advisories
- dc_tts
- No lockfile (source not queried)
- Kokoro-FastAPI
- No published findings from this source as of 2026-07-11
Full report
- dc_tts
- Trust report
- Kokoro-FastAPI
- Trust report
Choose dc_tts if…
- 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 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
Choose Kokoro-FastAPI if…
- Requirements: Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image..
- Tags unique to Kokoro-FastAPI: docker, fastapi, kokoro tts, multi-gpu support.
- You require a solution that can auto-download models and run natively on Apple Silicon (MPS) with support via UV.
When NOT to use Kokoro-FastAPI
- If your hardware is not supported by the provided Docker images, for example, if you do not have a compatible NVIDIA, AMD GPU or CPU setup.
- You are looking for non-Dockerized solutions. Kokoro-FastAPI focuses on containerization and might not fit environments that strictly avoid containers.
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 (remsky/Kokoro-FastAPI) · observed Jul 29, 2026
- GitHub forks (remsky/Kokoro-FastAPI) · observed Jul 29, 2026
- Last push (remsky/Kokoro-FastAPI) · observed Jul 21, 2026
- License file (Apache-2.0) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dc_tts 1.2k · Kokoro-FastAPI 5.3k (synced Jul 30, 2026).
Common questions
- What is the difference between dc_tts and Kokoro-FastAPI?
- dc_tts: A TensorFlow Implementation of DC-TTS. Kokoro-FastAPI: Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model. See the comparison table for live GitHub stats and shared categories.
- When should I choose dc_tts over Kokoro-FastAPI?
- Choose dc_tts over Kokoro-FastAPI when 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 Kokoro-FastAPI over dc_tts?
- Choose Kokoro-FastAPI over dc_tts when Requirements: Min 4 GB RAM; Requires Docker; Hardware-specific Docker images are provided for CUDA, ROCm (experimental), and CPU support.; Users without supported GPUs can still utilize the service via a CPU image.; Tags unique to Kokoro-FastAPI: docker, fastapi, kokoro tts, multi-gpu support; You require a solution that can auto-download models and run natively on Apple Silicon (MPS) with support via UV.
- When should I avoid dc_tts?
- Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
- When should I avoid Kokoro-FastAPI?
- If your hardware is not supported by the provided Docker images, for example, if you do not have a compatible NVIDIA, AMD GPU or CPU setup. You are looking for non-Dockerized solutions. Kokoro-FastAPI focuses on containerization and might not fit environments that strictly avoid containers.
- Is dc_tts or Kokoro-FastAPI more popular on GitHub?
- Kokoro-FastAPI has more GitHub stars (5,265 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
- Are dc_tts and Kokoro-FastAPI open source?
- Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, Kokoro-FastAPI: Apache-2.0).
- Where can I find alternatives to dc_tts or Kokoro-FastAPI?
- GraphCanon lists graph-backed alternatives at dc_tts alternatives and Kokoro-FastAPI alternatives (dc_tts markdown twin, Kokoro-FastAPI 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 Kokoro-FastAPI?
- dc_tts: Dormant. Kokoro-FastAPI: Active. 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 Kokoro-FastAPI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; Kokoro-FastAPI trust report.