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Comparison

CosyVoice vs RLTF

Verdict

Pick CosyVoice when license: CosyVoice is Apache-2.0, RLTF is BSD-3-Clause; pick RLTF when license: RLTF is BSD-3-Clause, CosyVoice is Apache-2.0.

Markdown twin · CosyVoice alternatives · RLTF alternatives

GraphCanon updated today

CosyVoice logo

CosyVoice

FunAudioLLM/CosyVoice

★ 22kpushed May 25, 2026
vs
RLTF logo

RLTF

Zyq-scut/RLTF

★ 135pushed Oct 5, 2024

Trust & integrity

SignalCosyVoiceRLTF
Maintenance
Steady (46d since push)
As of today · github_public_v1
Dormant (644d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
75 low (75 low)
As of today · osv@v1
CosyVoice trust reportRLTF trust reportTrust methodology

Tagline

CosyVoice
Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.
RLTF
Accepted by Transactions on Machine Learning Research (TMLR)

Stars

CosyVoice
22k
RLTF
135

Forks

CosyVoice
2.5k
RLTF
7

Open issues

CosyVoice
767
RLTF
0

Language

CosyVoice
Python
RLTF
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.
RLTF
-

Persona

CosyVoice
-
RLTF
-

Runtime

CosyVoice
-
RLTF
-

License

CosyVoice
Apache-2.0
RLTF
BSD-3-Clause

Last pushed

CosyVoice
May 25, 2026
RLTF
Oct 5, 2024

Categories

CosyVoice
Model Training, Speech & Audio, Inference & Serving
RLTF
Model Training

Trust and health

Maintenance

CosyVoice
Steady (60%)
RLTF
Dormant (18%)

Days since push

CosyVoice
46d
RLTF
644d

Open issues (now)

CosyVoice
767
RLTF
0

Owner type

CosyVoice
Organization
RLTF
User

Security scan

CosyVoice
No lockfile
RLTF
75 low (75 low)

Full report

CosyVoice
Trust report
RLTF
Trust report

Choose CosyVoice if…

  • License: CosyVoice is Apache-2.0, RLTF is BSD-3-Clause.
  • Tags unique to CosyVoice: cantonese, audio-generation, chinese, english.
  • Also covers Speech & Audio, Inference & Serving.
  • 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.
GitHubDetails

Choose RLTF if…

  • License: RLTF is BSD-3-Clause, CosyVoice is Apache-2.0.
  • Tags unique to RLTF: python.
  • Leaner open-issue backlog (0).

When NOT to use RLTF

  • Last GitHub push was 644 days ago (dormant maintenance, Oct 5, 2024). Validate activity before betting a new project on RLTF.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
GitHubDetails

Explore

CosyVoice trust report →RLTF trust report →Model Training category →Speech & Audio category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: CosyVoice 22k · RLTF 135 (synced Jul 11, 2026).

Common questions

What is the difference between CosyVoice and RLTF?
CosyVoice: Multi-lingual large voice generation model with full-stack abilities for inference, training and deployment.. RLTF: Accepted by Transactions on Machine Learning Research (TMLR). See the comparison table for live GitHub stats and shared categories.
When should I choose CosyVoice over RLTF?
Choose CosyVoice over RLTF when License: CosyVoice is Apache-2.0, RLTF is BSD-3-Clause; Tags unique to CosyVoice: cantonese, audio-generation, chinese, english; Also covers Speech & Audio, Inference & Serving; When you need support for multiple languages like Cantonese, Chinese, English, Japanese, and Korean.
When should I choose RLTF over CosyVoice?
Choose RLTF over CosyVoice when License: RLTF is BSD-3-Clause, CosyVoice is Apache-2.0; Tags unique to RLTF: python; Leaner open-issue backlog (0).
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 RLTF?
Last GitHub push was 644 days ago (dormant maintenance, Oct 5, 2024). Validate activity before betting a new project on RLTF. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Is CosyVoice or RLTF more popular on GitHub?
CosyVoice has more GitHub stars (22,089 vs 135). Stars measure visibility, not whether either tool fits your constraints.
Are CosyVoice and RLTF open source?
Yes - both are open-source projects on GitHub (CosyVoice: Apache-2.0, RLTF: BSD-3-Clause).
Where can I find alternatives to CosyVoice or RLTF?
GraphCanon lists graph-backed alternatives at CosyVoice alternatives and RLTF alternatives (CosyVoice markdown twin, RLTF 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 RLTF?
CosyVoice: Steady. RLTF: 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 RLTF?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CosyVoice trust report; RLTF trust report.