Comparison
CosyVoice vs Keras-TextClassification
Verdict
Pick CosyVoice if cosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation; pick Keras-TextClassification if chinese-focused text classification models using Keras.
Markdown twin · CosyVoice alternatives · Keras-TextClassification alternatives
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Trust & integrity
| Signal | CosyVoice | Keras-TextClassification |
|---|---|---|
| Maintenance | Steady (89d since push) As of today · github_public_v1 | Dormant (795d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- CosyVoice
- Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.
- Keras-TextClassification
- Chinese text classification models based on Keras
Stars
- CosyVoice
- 23k
- Keras-TextClassification
- 1.8k
Forks
- CosyVoice
- 2.6k
- Keras-TextClassification
- 397
Open issues
- CosyVoice
- 719
- Keras-TextClassification
- 4
Language
- CosyVoice
- Python
- Keras-TextClassification
- Python
Adopt for
- CosyVoice
- CosyVoice is a Python-based multi-lingual large voice generation model. It supports extensive capabilities including fine-tuning, TTS (Text-To-Speech), and natural language generation.
- Keras-TextClassification
- Chinese-focused text classification models using Keras.
Persona
- CosyVoice
- -
- Keras-TextClassification
- -
Runtime
- CosyVoice
- -
- Keras-TextClassification
- -
License
- CosyVoice
- Apache-2.0
- Keras-TextClassification
- MIT License - allows free use, modification, distribution with attribution required but no guarantee or liability from contributors.
Last pushed
- CosyVoice
- May 25, 2026
- Keras-TextClassification
- Jun 17, 2024
Categories
- CosyVoice
- Inference & Serving, Model Training, Speech & Audio
- Keras-TextClassification
- Model Training
Trust and health
Maintenance
- CosyVoice
- Steady (60%)
- Keras-TextClassification
- Dormant (18%)
Days since push
- CosyVoice
- 89d
- Keras-TextClassification
- 795d
Open issues (now)
- CosyVoice
- 719
- Keras-TextClassification
- 4
Stars delta
- CosyVoice
- +497 (30d)
- Keras-TextClassification
- -3 (30d)
Open issues delta
- CosyVoice
- -37 (30d)
- Keras-TextClassification
- 0 (30d)
Owner type
- CosyVoice
- Organization
- Keras-TextClassification
- User
Full report
- CosyVoice
- Trust report
- Keras-TextClassification
- Trust report
Shared compatibility
- Python · CosyVoice: Python runtime · Keras-TextClassification: Python runtime
Choose CosyVoice if…
- License: CosyVoice is Apache-2.0, Keras-TextClassification is MIT.
- Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt.
- Also covers Inference & Serving, Speech & Audio.
- When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
When NOT to use CosyVoice
- If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish.
- When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity.
Choose Keras-TextClassification if…
- License: Keras-TextClassification is MIT, CosyVoice is Apache-2.0.
- Requirements: Min 4 GB RAM; Python environment must be prepared for running Keras.; Supports multiple model types requiring different levels of computation resources..
- Tags unique to Keras-TextClassification: albert, bert, capsulenetwork, charcnn.
- Requires Chinese text classification for tasks like multi-label, sentence similarity analysis.
When NOT to use Keras-TextClassification
- Does not cater to non-Chinese language datasets effectively due to its Chinese-specific models.
- Avoid if you seek a tool with extensive support beyond text classification like NER or POS tagging.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FunAudioLLM/CosyVoice) · observed Aug 23, 2026
- GitHub forks (FunAudioLLM/CosyVoice) · observed Aug 23, 2026
- Last push (FunAudioLLM/CosyVoice) · observed May 25, 2026
- License file (Apache-2.0) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yongzhuo/Keras-TextClassification) · observed Aug 22, 2026
- GitHub forks (yongzhuo/Keras-TextClassification) · observed Aug 22, 2026
- Last push (yongzhuo/Keras-TextClassification) · observed Jun 17, 2024
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CosyVoice 23k · Keras-TextClassification 1.8k (synced Aug 23, 2026).
Common questions
- What is the difference between CosyVoice and Keras-TextClassification?
- CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. Keras-TextClassification: Chinese text classification models based on Keras. See the comparison table for live GitHub stats and shared categories.
- When should I choose CosyVoice over Keras-TextClassification?
- Choose CosyVoice over Keras-TextClassification when License: CosyVoice is Apache-2.0, Keras-TextClassification is MIT; Tags unique to CosyVoice: audio-generation, cantonese, chatbot, chatgpt; Also covers Inference & Serving, Speech & Audio; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
- When should I choose Keras-TextClassification over CosyVoice?
- Choose Keras-TextClassification over CosyVoice when License: Keras-TextClassification is MIT, CosyVoice is Apache-2.0; Requirements: Min 4 GB RAM; Python environment must be prepared for running Keras.; Supports multiple model types requiring different levels of computation resources.; Tags unique to Keras-TextClassification: albert, bert, capsulenetwork, charcnn; Requires Chinese text classification for tasks like multi-label, sentence similarity analysis.
- When should I avoid CosyVoice?
- If your project specifically requires fine-tuned performance in languages not supported by CosyVoice such as Arabic or Spanish. When strict real-time speech synthesis requirements are essential, as CosyVoice may face delays depending on the environment's computational power and model complexity.
- When should I avoid Keras-TextClassification?
- Does not cater to non-Chinese language datasets effectively due to its Chinese-specific models. Avoid if you seek a tool with extensive support beyond text classification like NER or POS tagging.
- Is CosyVoice or Keras-TextClassification more popular on GitHub?
- CosyVoice has more GitHub stars (22,870 vs 1,809). Stars measure visibility, not whether either tool fits your constraints.
- Are CosyVoice and Keras-TextClassification open source?
- Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, Keras-TextClassification: MIT).
- Where can I find alternatives to CosyVoice or Keras-TextClassification?
- GraphCanon lists graph-backed alternatives at CosyVoice alternatives and Keras-TextClassification alternatives (CosyVoice markdown twin, Keras-TextClassification 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, CosyVoice or Keras-TextClassification?
- CosyVoice: Steady. Keras-TextClassification: 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 CosyVoice and Keras-TextClassification?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; Keras-TextClassification trust report.