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Comparison

TTS vs FastChat

Verdict

Pick TTS when license: TTS is MPL-2.0, FastChat is Apache-2.0; pick FastChat when license: FastChat is Apache-2.0, TTS is MPL-2.0.

Markdown twin · TTS alternatives · FastChat alternatives

GraphCanon updated today

TTS logo

TTS

coqui-ai/TTS

★ 46kpushed Aug 16, 2024
vs
FastChat logo

FastChat

lm-sys/FastChat

★ 39kpushed May 1, 2026

Trust & integrity

SignalTTSFastChat
Maintenance
Dormant (693d since push)
As of today · github_public_v1
Steady (71d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
137 low (137 low)
As of today · osv@v1
No lockfile
As of today · none
TTS trust reportFastChat trust reportTrust methodology

Tagline

TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
FastChat
An open platform for training, serving, and evaluating large language models

Stars

TTS
46k
FastChat
39k

Forks

TTS
6.2k
FastChat
4.8k

Open issues

TTS
4
FastChat
1.0k

Language

TTS
Python
FastChat
Python

Adopt for

TTS
-
FastChat
FastChat is a comprehensive open platform for managing large language models (LLMs) that includes capabilities for training, serving, evaluating, and comparing chatbot models via web UIs and RESTful APIs. It powers ChatB

Persona

TTS
-
FastChat
-

Runtime

TTS
-
FastChat
-

License

TTS
MPL-2.0
FastChat
Apache-2.0

Last pushed

TTS
Aug 16, 2024
FastChat
May 1, 2026

Categories

TTS
Model Training, Speech & Audio, Inference & Serving
FastChat
Model Training, LLM Frameworks, Inference & Serving, Evaluation & Observability

Trust and health

Maintenance

TTS
Dormant (18%)
FastChat
Steady (60%)

Days since push

TTS
693d
FastChat
71d

Open issues (now)

TTS
4
FastChat
1.0k

Security scan

TTS
137 low (137 low)
FastChat
No lockfile

Full report

TTS
Trust report
FastChat
Trust report

Shared compatibility

  • Python · TTS: Python runtime · FastChat: Python runtime

Choose TTS if…

  • License: TTS is MPL-2.0, FastChat is Apache-2.0.
  • Tags unique to TTS: deep-learning, glow-tts, python, hifigan.
  • Also covers Speech & Audio.
  • TTS ships Docker support for self-hosted deployment.

When NOT to use TTS

  • Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
GitHubDetails

Choose FastChat if…

  • License: FastChat is Apache-2.0, TTS is MPL-2.0.
  • Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving.
  • Also covers LLM Frameworks, Evaluation & Observability.
  • - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.

When NOT to use FastChat

  • - You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions.
  • - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations).
  • - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on
  • + Mac.
GitHubDetails

Explore

TTS trust report →FastChat trust report →Model Training category →Speech & Audio category →Inference & Serving category →LLM Frameworks category →Evaluation & Observability 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: TTS 46k · FastChat 39k (synced Jul 11, 2026).

Common questions

What is the difference between TTS and FastChat?
TTS: 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production. FastChat: An open platform for training, serving, and evaluating large language models. See the comparison table for live GitHub stats and shared categories.
When should I choose TTS over FastChat?
Choose TTS over FastChat when License: TTS is MPL-2.0, FastChat is Apache-2.0; Tags unique to TTS: deep-learning, glow-tts, python, hifigan; Also covers Speech & Audio; TTS ships Docker support for self-hosted deployment.
When should I choose FastChat over TTS?
Choose FastChat over TTS when License: FastChat is Apache-2.0, TTS is MPL-2.0; Tags unique to FastChat: evaluation system, large-language-models, chatbots, distributed serving; Also covers LLM Frameworks, Evaluation & Observability; - You are looking to train and evaluate state-of-the-art models such as Vicuna or MT-Bench.
When should I avoid TTS?
Last GitHub push was 694 days ago (dormant maintenance, Aug 16, 2024). Validate activity before betting a new project on TTS. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
When should I avoid FastChat?
- You require a proprietary or closed-source framework; FastChat is open-source under Apache-2.0 license and its use might be unsuitable for environments requiring proprietary solutions. - Your chatbot evaluation needs do not align with the types of data used in FastChat's datasets (e.g., human votes, MT-Bench evaluations). - You prefer a more user-friendly setup without the need to clone a repository and manually install dependencies; FastChat requires installation from source with additional steps for Rust and CMake on + Mac.
Is TTS or FastChat more popular on GitHub?
TTS has more GitHub stars (45,737 vs 39,490). Stars measure visibility, not whether either tool fits your constraints.
Are TTS and FastChat open source?
Yes - both are open-source projects on GitHub (TTS: MPL-2.0, FastChat: Apache-2.0).
Where can I find alternatives to TTS or FastChat?
GraphCanon lists graph-backed alternatives at TTS alternatives and FastChat alternatives (TTS markdown twin, FastChat 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, TTS or FastChat?
TTS: Dormant. FastChat: 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 TTS and FastChat?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TTS trust report; FastChat trust report.